8-12 May 2017.
Course duration: 5 days (approximately 28 hours teaching).
Registration will start at 9.00am on the first day, the course will finish by 4.00pm on the final day.
To provide an understanding of the statistical principles behind, and the practical application of, univariable and multivariable linear and logistic regression in medical, epidemiological and health services research. By the end of the course, students will:
Those analysing data from medical, epidemiological, and health services research, who have used simple methods such as t-tests and chi-square tests, but who now wish to use multivariable methods to control confounding, accommodate interaction, and increase statistical power.
Prerequisites: Knowledge of statistical methods and their implementation in Stata of at least the level achieved in the 'Introduction to Statistics’ short course.
Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop. Stata v14 will be used during the course.
Course handouts will cover all material. All participants will be expected to have a copy of 'Essential Medical Statistics' with them during the course: Kirkwood BR, Sterne JAC. Essential Medical Statistics, 2nd ed. Oxford: Blackwell Science, 2003. The book can be purchased at a discounted rate, instructions on how to purchase the book will be sent once your place has been confirmed on the course.
PAID: Limited places available.
FREE: Fully booked, waiting list in operation.
More information on course fees, fee waivers and reduced prices.
School of Social and Community Medicine
39 Whatley Road
Coffee, tea, fruit and biscuits will be available to all students. A light lunch is provided for all paying participants. Please let us know if you have any dietary requirements.
Information about accommodation.
For further information please email email@example.com