Short course prerequisites
IT requirements for online short courses
Some courses require access to specific statistical software, such as Stata or R.
Please check the requirements for your chosen course before registering.
External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week).
To ensure our courses are suitable for you, and that you can fully benefit from online participation, we identify a number of course prerequisites. We kindly request that you check you have access to the relevant IT resources needed for the course and meet the knowledge prerequisites prior to booking.
Please select a course from the list below to view prerequisites, IT requirements and recommendations. If your course is not listed there are no specific prerequisites.
Advanced Mendelian Randomization
Please ensure you meet the following prerequisites before booking:
| Knowledge | The course is an advanced level course in Mendelian randomization and assumes that participants already have knowledge of the basics of MR. Participants should have completed the Mendelian Randomization short course (or equivalent) and should have experience of conducting MR analyses. Practical sessions will be conducted using R and so participants should have an understanding of using R for data analysis, however previous experience of conducting MR estimation using R is not required. |
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| Software | Practical sessions will be conducted in R and so participants should have a recent version R installed prior to the start of the course. See R Installation Instructions for help getting set up. |
Advanced Multiple Imputation Methods to deal with Missing Data
Please ensure you meet the following prerequisites before booking:
| Knowledge |
Prior attendance of the Multiple Imputation for Missing Data short course (or equivalent introductory course to missing data concepts and multiple imputation) or be familiar with the concept of multiple imputation, and have used it in practice. Also, familiarity with standard regression methods for continuous and binary outcomes beyond a basic level. |
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| Software |
You must have Stata* (version 13 or later) or R** (version 4.0.3 or later) installed in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course.
External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week).
**Go to R Installation Instructions for help getting set up.
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| Recommendation | For the computer practicals, we recommend that participants either have access to the use of two screens or the ability to print materials in advance of the course. |
Analysis of Repeated Measures
Please ensure you meet the following prerequisites before booking:
| Knowledge | You must be familiar with the algebra of standard regression models for continuous outcomes (to beyond the standard of the short course Introduction to Linear and Logistic Regression Models or to the level implied by module 3 of the Centre for Multilevel Modelling online multilevel modelling course). |
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| Software |
You must be familiar with R or STATA. Please note some practicals will only be available in R. Those using Stata* must have this installed in advance of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
Causal Inference in Epidemiology: Concepts and Methods
Please ensure you meet the following prerequisites before booking:
| Knowledge |
Applicants must have knowledge and experience of a variety of linear and logistic regression models and their implementation in Stata or R, to beyond the level achieved in the Introduction to Linear and Logistic Regression Models course. Familiarity with survival analysis is recommended. |
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| Software |
You must have either Stata* (version 14, 15, 16, 17 or 18) or R installed in advance of the course. We recommend running this through RStudio Desktop or Posit Cloud**. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). **A link to create an account and access Posit Cloud will be provided. |
Co-Design, Co-Production and Participatory Action Research
Please ensure you meet the following prerequisites before booking:
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Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
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Conditions |
Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
Economic Evaluation Modelling Using R
Please ensure you meet the following prerequisites before booking:
| Knowledge |
Knowledge of cost-effectiveness analysis, specifically on decision trees and Markov models, will be assumed (to the level of the Introduction to Economic Evaluation short course). Experience with R is essential (to the level of the Introduction to R short course) but we will review the necessary aspects of R through pre-reads and on the first day. |
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| Software | You must have R (version 4.0.0 or higher) and RStudio (version 1.2.5 or higher) installed in advance of the course. Go to R Installation Instructions for help getting set up. |
Essentials of Infectious Disease Modelling and Economic Evaluation
Please ensure you meet the following prerequisites before booking:
| Software |
Access to a laptop or desktop computer for the duration of the course (joining by mobile/ tablet would be insufficient). This course requires use of R through Posit Cloud. You will need to set up a free Posit Cloud account, instruction for which can be found on our R Installation Instructions page. |
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| Recommendation |
Although the computer practicals will be in the programming language R, no knowledge of R is assumed. |
Further Survival Analysis
Please ensure you meet the following prerequisites before booking:
| Knowledge | Participants should be familiar with the basics of survival analysis, to at least the level attained from the Introduction to Rates and Survival Analysis short course. |
|---|---|
| Software |
Participants should be familiar with using Stata statistical software and implementing survival analyses within Stata (code for practicals will also be made available in R). You must have Stata* or R installed in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
| Recommendation | We recommend that participants have access to two screens to facilitate participation. |
Genetic Epidemiology
Please ensure you meet the following prerequisites before booking:
| Knowledge | Prior experience of genetic epidemiology is not required, but we encourage participants to familiarise themselves with some of the genetic terminology and concepts before the course. To help you to do this we have produced a series of 3 short videos (specifically for this course) which provide a background to basic genetics for those of you who are new to the subject. We recommend you watch these before coming on the course. In addition the following resources both contain some good basic information: https://en.wikipedia.org/wiki/Genetics http://www.dorak.info/genetics/ This course will require students to use analytical software in a command-line Linux and R environment. We will include all instructions but do recommend that you have some experience of these computer environments before the course. |
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| Software | During the course, you will run all computer practicals on your own computer/laptop using Posit Cloud (formerly known as RStudio Cloud) which allows you access to the R and Linux environments. We will briefly introduce the Cloud in the first practical and provide all main code for all practicals. You do not need to install any software packages yourself. The operating system can be either Windows or Mac. |
| Recommendation | You should consider having a fast internet speed for synchronous/live sessions and for practicals. We would also recommend the use of two screens for practicals. Please note this is an intensive 5 day full time course. |
Improving your Stata: data management, publication-quality outputs, and automating tasks
Please ensure you meet the following prerequisites before booking:
| Knowledge | It is assumed that participants will have attended the Introduction to Stata course (or be familiar with the contents of this course), AND are able to: open and save datasets; generate and rename variables; label variables and values; restrict commands to a subset of the data using the if, in and by qualifiers; generate a Stata date from a string; change the working directory; and use commands display, list, summarize and tabulate. Participants should have a working knowledge of basic statistics such as linear regression. However, the course is focused on data management and programming skills rather than statistical content. |
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| Software |
You must have Stata (version 15 or later)* installed in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
| Recommendation | We recommend the use of 2 screens if possible. To facilitate practical sessions you may want to either print the course manual yourself, or have it open on another device (like a tablet or phone). |
Inclusivity within Research Processes
Please ensure you meet the following prerequisites before booking:
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Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
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|
Conditions |
Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
Introduction to Data Collection in Research Studies
Please ensure you meet the following prerequisites before booking:
|
Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
|---|---|
|
Conditions |
Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
Introduction to Data Visualisation and Web Applications Using R
Please ensure you meet the following prerequisites before booking:
| Knowledge | Course participants should either have attended the Introduction to R course or be familiar with R and/or RStudio. This course is not intended for people who have never used R before. |
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| Software | This course will use Posit cloud. Participants will not need to install the desktop version of RStudio to complete the course. If course participants would like to use RStudio Desktop (Open Source version) alongside the cloud version, this is compatible with Windows, Mac and Linux and is freely available from: https://rstudio.com/products/rstudio/download/ Go to R Installation Instructions for help getting set up. You will also need software able to open and view .pdf (e.g. Adobe Reader) and .docx files (e.g. MS Word). |
| Recommendation | Participants may find it helpful to have 2 screens. However, this is not a requirement. |
Introduction to Economic Evaluation
Please ensure you meet the following prerequisites before booking:
| Knowledge | No previous experience or knowledge of economics is required. |
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| Recommendation | To make the best of the course, the use of two screens, or the ability to print materials in advance is advised. |
Introduction to Empirical Bioethics
Please ensure you meet the following prerequisites before booking:
| Recommendation |
There are no prerequisites, but you will get the most out of this course if you are planning, or just starting to undertake, empirical bioethics research. The course is structured to introduce key concepts and then build on that foundation, and so participation in all sessions is necessary in order to benefit fully. |
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Introduction to Epidemiology
Please ensure you meet the following prerequisites before booking:
| Knowledge |
This course is intended for clinicians, researchers, public health specialists and other health care professionals who have only a basic understanding of epidemiology. Prior knowledge of basic medical statistics so that you understand findings published in peer-reviewed medical journals is important. |
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Introduction to Linear and Logistic Regression Models
Please ensure you meet the following prerequisites before booking:
| Knowledge | You should have knowledge of statistical methods and their implementation in Stata of at least the level achieved in the Introduction to Statistics short course or in R of at least the level achieved in the Introduction to R short course. |
|---|---|
| Software |
You must have Stata (version 15 or higher)* installed in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). For those who would like to work with R during the practical sessions, we will be using Posit Cloud as an interface for R. You can use your own desktop version of R, if you are already familiar/comfortable with this, or we will provide a link to Posit Cloud. Go to R Installation Instructions for further information. |
| Recommendation | You may find it helpful to have access to two screens - or ability to print materials in advance - in order to run analyses while having course materials open. This is not essential, however. |
Introduction to Mixed-Methods Research to inform Public Health Policy
Please ensure you meet the following prerequisites before booking:
|
Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
|---|---|
|
Conditions |
Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
Introduction to Network Meta-Analysis
Please ensure you meet the following prerequisites before booking:
| Knowledge | Experience of pairwise meta-analysis (to the level covered by the course Introduction to Systematic Reviews and Meta-analysis), understanding of statistical methods including logistic regression (to the level of the course Introduction to Linear and Logistic Regression Models), and basic experience with R. |
|---|---|
| Software | You must have R (version 4.2 or higher) and RStudio (version 1.3.1093 or higher) installed in advance of the course. This course will use RStudio Desktop (Open Source version). This is compatible with Windows, Mac and Linux and is freely available from: https://rstudio.com/products/rstudio/download/ Go to R Installation Instructions for help getting set up in advance of the course starting. |
| Recommendation | We recommend the use of two screens, to follow the worksheets whilst working in practical computing sessions. However, this is not essential. Please download and install R and R Studio in advance. Course staff are not able to help with software installation queries. Practice materials will be sent in advance to allow attendees to problem-shoot their installation before the course starts. |
Introduction to Protocol Writing
Please ensure you meet the following prerequisites before booking:
|
Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
|---|---|
|
Conditions |
Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
Introduction to Qualitative Research Methods
Please ensure you meet the following prerequisites before booking:
| Software | The course includes a session on qualitative software management using NVivo software as an example. NVivo access is not required for the session but is recommended in order to engage with the self-guided workbook. |
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| Other |
The course includes preparatory work for live sessions that will enable engagement with workshops and support learning. It is expected this work is completed in attendees own time. The ethnography session includes time to conduct observations in a community setting, e.g. a coffee shop. If possible please complete this day of the course from a location that will allow you to take part in this exercise. |
Introduction to Quantitative Bias Analysis
Please ensure you meet the following prerequisites before booking:
| Knowledge | Prior attendance of the Causal Inference in Epidemiology: Concepts and Methods short course (or an equivalent course) is recommended. Participants should be familiar with the concepts of unmeasured confounding, sample selection bias and information bias, and with standard regression methods for continuous and binary outcomes beyond a basic level. |
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| Software |
We will be using Posit Cloud* as an interface for R in the practical sessions. Alternatively you can use your own desktop version of R.
Where possible we will provide the practical sessions in Stata** as well. If you wish to use Stata, you must have version 13 or later installed in advance of the course. *Go to R Installation Instructions for help getting set up. **Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
| Recommendation | For the computer practicals, we recommend that participants either have access to the use of two screens or the ability to print materials in advance of the course. |
Introduction to R
Please ensure you meet the following prerequisites before booking:
| Software | We will be using Posit Cloud as an interface for R in the practical sessions. You can use your own desktop version of R, if you are already familiar/comfortable with this, or we will provide a link to Posit Cloud. Go to R Installation Instructions for further information. |
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| Recommendation | We recommend using two screens, or a large enough screen, that will allow you to complete practical work alongside viewing the live lectures. |
Introduction to Rates and Survival Analysis
Please ensure you meet the following prerequisites before booking:
| Knowledge | Participants should be familiar with the basic Stata commands used to open a dataset, get help on a command, and explore, create and edit variables. Participants should have a knowledge of regression analyses and their implementation in Stata of at least the level achieved in the Introduction to Linear and Logistic Regression Models short course. |
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| Software |
Participants will need a computer and internet connection capable of video conferencing whilst running Stata (datasets used in the course are all small). You must have Stata (version 12 or later)* installed in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
| Recommendation | The Stata practicals will be much easier if you have two screens (one for Stata, one for the instructions). If you do not have a second screen but have access to a printer, we suggest that you print the practical instructions in advance of the course. We will provide these as a printable pdf file. |
Introduction to Stata
Please ensure you meet the following prerequisites before booking:
| Software |
You must have Stata (version 14 or later)* installed in advance of the course. Please note that older versions may be OK, but you should recognise that older versions may have slightly different functionalities. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
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| Recommendation |
A copy of the course manual will be emailed to you in advance of the course. To facilitate practical sessions we recommend that you either print the course manual yourself, have it open on another device (like a tablet or phone), or split your screen between the manual, your own version of Stata and the Stata the tutor is sharing in Blackboard. If available, a second screen would be ideal for splitting your screen between these different programs. |
Introduction to Statistics
Please ensure you meet the following prerequisites before booking:
| Software |
Please will students ensure they have access to statistics software before the start of the course. Full support will be given for the use of Stata* in the practical sessions. Students are welcome to use a different package (e.g. R, SAS, SPSS) if they are confident in its use, but we cannot guarantee we will be able to help if difficulties with the software are encountered. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
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Introduction to Systematic Reviews and Meta-analysis
Please ensure you meet the following prerequisites before booking:
| Knowledge |
Participants should have knowledge of statistical methods to the level of our Introduction to Statistics course. A basic appreciation of research designs (to the level of our Introduction to Epidemiology course) would be helpful. Practical sessions will include implementation of meta-analysis methods in computer software, and basic knowledge of R or Stata would be helpful for this. Students will have the choice whether to undertake the practicals using (i) R as installed on their computer, (ii) R using Posit Cloud (Rstudio project), or (iii) Stata. |
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| Software |
Participants must either (i) have access to a computer on which R (and Rstudio) is pre-installed, (ii) a Posit Cloud account (previously called RStudio Cloud) or (iii) a computer on which Stata* is pre-installed (version 15 or later). *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
Knowledge Mobilisation
Please ensure you meet the following prerequisites before booking:
|
Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
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|
Conditions |
Ability to actively participate in online sessions, with camera and audio available. Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
|
Knowledge |
Candidates should be aware that this course will focus on knowledge mobilisation for research design, so candidates will need to have an interest in and an understanding of designing research projects. The delivery of knowledge mobilisation will be focused on in a separate course. |
Machine Learning with Omics Data
Please ensure you meet the following prerequisites before booking:
| Knowledge | You should be very familiar with the topics presented in our Molecular Epidemiology short course. This includes practical knowledge of using R to analyse high-throughput molecular data. It is recommended that you should have either completed the Molecular Epidemiology short course in this programme or have previous experience performing an omic-wide association studies, e.g. GWAS, EWAS, PWAS. |
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| Recommendation | Access to two screens will be useful for practical sessions where one screen can be used to view instructions and the other to carry out instructions and view outputs. |
Mendelian Randomization
Please ensure you meet the following prerequisites before booking:
| Knowledge | Prior experience of using Mendelian randomization is not required, but participants should have an understanding of aetiological epidemiological principles, and ideally be working on causal population health questions. Those intending to take this course should already understand epidemiological principles and have knowledge and skills in statistical analysis to the level of running, and correctly interpreting results from, multivariable regression analyses. Participants must have experience in running such analyses efficiently in Stata and/or R as all practicals on the course will be offered in both Stata and R and the focus of these practicals will be on Mendelian randomization (not learning how to use the statistical packages). Note: it is not necessary for those participating in the course to be able to use both Stata and R, but you must be able to use one of these. |
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| Software |
Participants who would like to use Stata need to have installed Stata version 17* (or later) in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
Molecular Epidemiology
Please ensure you meet the following prerequisites before booking:
| Knowledge | A basic knowledge of epidemiology is required. Some understanding of molecular terminology would be advantageous. Some practical knowledge of R would be helpful. Please note that this course attracts a highly multi-disciplinary audience. We do our utmost to accommodate this and ask that if in any doubt, prospective participants enquire prior to booking to check that the course is targeted at the right level for their needs. |
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| Recommendation | Access to two screens will be useful for practical sessions where one screen can be used to view instructions and the other to carry out instructions and view outputs. |
Multiple Imputation for Missing Data
Please ensure you meet the following prerequisites before booking:
| Knowledge | Familiarity with either Stata or R. Familiarity with standard regression methods for continuous and binary outcomes beyond a basic level, and familiarity with causal diagrams. |
|---|---|
| Software |
You will be offered the choice to complete practicals in either Stata* or R**. *If opting for Stata: You will need to install Stata (version 13 or later) on your computer prior to attending the course. Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). **If opting for R: You can use your own desktop version of R or we will provide a link to Posit Cloud, an interface for R. Go to R Installation Instructions for further information. |
Optimising Recruitment to Randomised Controlled Trials
Please ensure you meet the following prerequisites before booking:
| Knowledge |
It would be advantageous if course attendees have some knowledge and understanding of randomised controlled trials (RCTs). The course does not go into detail about the design/conduct of RCTs, and therefore individuals unfamiliar with this study design may consider first attending the Designing and Conducting Pragmatic Randomised Controlled Trials short course. Experience of having worked on an RCT would be particularly beneficial, although not essential. |
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Overview of Qualitative Review and Synthesis Methods
To make sure the course is suitable for you and you will benefit from attending, please ensure you meet the following prerequisites before booking:
| Knowledge |
Knowledge of qualitative research methods will be an advantage. |
|---|---|
| Recommendation |
Two screens will be useful but not essential. |
Reproducible Health Data Science
Please ensure you meet the following prerequisites before booking:
|
Eligibility |
This course is available to University of Bristol staff and postgraduate researchers only. Candidates must be able to fully attend the course and provide feedback. |
|---|---|
|
Conditions |
Pilot courses are extremely popular and all live sessions must be attended in full. You should only book onto this course if you are able to commit to attending in full and have time to provide detailed feedback. Attendance is monitored. Failure to attend in full, without a valid reason, will result in your access to pilot course materials being rescinded and you will not be permitted to attend any further pilot courses within the same academic year. |
|
Knowledge |
Participants should have some experience developing scripts and analysing data. Experience with Linux-based high-performance compute clusters will be an asset but is not required. Expertise is not required in any specific programming language, however demonstrations will tend to focus on R and Python. |
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Software |
Participants will carry out practical activities on their own computers. Software installation instructions will be provided prior to the course along with a short drop-in session for advice. |
|
Recommendation |
Access to two screens will be useful for practice sessions where one screen can be used to view instructions and the other to carry out instructions and view outputs. |
Statistical Methods for Mediation Analysis
Please ensure you meet the following prerequisites before booking:
| Knowledge | Participants should have knowledge of regression analyses and their implementation in Stata of at least the level achieved in the Introduction to Linear and Logistic Regression Models short course. |
|---|---|
| Software |
You must have Stata* (version 14, 15, 16 ,17 or 18) installed in advance of the course. *Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). |
Understanding Trusted Research Environments
Please ensure you meet the following prerequisites before booking:
| Knowledge | This course requires some knowledge of research and analysis. An 'intro to R' and 'intro to python' might be helpful but are not required as analytic script will be provided throughout the course where it is required. JGI UoB have some courses online e.g. https://chryswoods.com/beginning_r/ https://www.youtube.com/playlist?list=PLVp79EU78Ttyu3cegAdX_sSnlryI7PrY8. |
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Writing a Journal Article
Please ensure you meet the following prerequisites before booking:
|
Eligibility |
This course is only available to University of Bristol Medical School staff and postgraduate researchers. Candidates must be able to fully attend the course, in person, at Bristol Medical School. |
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| Knowledge |
Candidates MUST have completed a piece of work and be ready to write it up. |
Please note that all provisional applicants will be sent an additional information survey, to help us verify that the course is suitable for you to attend.
Writing a Qualitative Paper
Please ensure you meet the following prerequisites before booking:
| Eligibility |
This course is only available to University of Bristol staff and postgraduate researchers. Candidates must be able to fully attend the course, in person, at Bristol Medical School. |
|---|---|
| Knowledge |
This course is only suitable for University of Bristol researchers who have already completed or are well underway with their qualitative data collection and analysis. If you are not yet at that stage please consider booking onto a later course. |
| Preparation |
In advance of the course please identify one or two published articles that you think are good examples of the kinds of qualitative writing that you aspire to. |
Please note that all provisional applicants will be sent an additional information survey, to help us verify that the course is suitable for you to attend.