WASP - Simple Logistic Regression
Logistic regression is a commonly used technique for analysing binary outcomes. This course is designed for researchers who are interested in the prevalence of an event and how it may vary by explanatory factors, such as gender, age or educational categories. The course will discuss basic analysis of frequency tables using risk difference, risk ratio, odds ratio and Chi-square tests. Simple logistic regression will be discussed as a more flexible model for analysing binary outcomes, particularly when there is a continuous predictor. There will be lots of examples and practical sessions on analysis and interpretation of results.
Prerequisite: This course requires participants to have basic knowledge of statistics including understanding data types, outcomes types and summary statistics.
Timings and Agenda
|Timings||Day 1||Day 2|
|09:30 - 10:00||Coffee (Wolfson Street, Wolfson Building)||Coffee (Wolfson Stree, Wolfson Building)|
|10:00 - 12:00||Binary Data and Risk Estimates (D026, Ebsworth)||Logistic Regression and Interpretation of Results (D026, Ebsworth)|
|12:00 - 13:00||Lunch||Lunch|
|13:00 - 14:40||Examining associations using Cross tabulations||Model assumptions|
|14:40 - 15:00||Coffee (Wolfson Street, Wolfson Building)||Coffee (Wolfson Street, Wolfson Building)|
|15:00 - 16:00||Practical Session||Practical Session|
Registration is essential as places are limited to 20 and will be allocated in order of receipt. Please click here to take you to the online booking form. Please ensure you have permission from your Supervisor/Line Manager to attend this two-day course.
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