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Introduction to Survival Analysis with STATA

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Dates:23 January 2020
Times:All day
What is it:Short course
Organiser:Cathie Marsh Institute for Social Research
How much:£195 / £140 / Five subsidised £60 places available for Humanities staff and postgraduates
Who is it for:University staff, External researchers, Alumni, Current University students
Speaker:Tina Hannemann
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  • In category "Short course"
  • In group "(CMIst) Affiliated event"
  • By Cathie Marsh Institute for Social Research

Outline This course aims to introduce participants to the theory and concept of survival analysis and provides strategies to decide for which research questions this method has benefits over alternative approaches. The course will further cover the preparation of datasets, discuss some common pitfalls and train the participants in interpretation of statistical and graphical results. The practical exercises should enable the participants to set up data and conduct analysis on their own. During the exercise, we use the software package STATA.

Objectives This course is designed for people who are familiar with the Stata software and want to use it for analysing survival/event history data.

Theoretical foundation of survival analysis Finding appropriate research questions for this method Data manipulation as preparation for survival analysis Analysis and interpretation of results in Stata Graphical representation of results with Stata Integration of time-constant and time-varying covariates On completion of the course, participants will have the necessary familiarity with the survival analysis method and the data manipulation skills required to move on to their own projects. The emphasis on the theoretical background and survival analysis technique will enable the participants to extrapolate their gained knowledge to any software and research topic. We use Stata as a programming tool, but students will be able to extrapolate course content to other programming software.

Prerequisites No previous knowledge of survival analysis is required, as this course will introduce the participants to the statistical method. All method-related programming will be explained during the course. Therefore, the familiarity of the Stata environment, basic command files and manipulation are essential in order to get the most out of this course, especially the practical exercises.

Price: £195

Concessions: £140

Offers: Five subsidised £60 places available for Humanities staff and postgraduates

Speaker

Tina Hannemann

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Basement Lab
Humanities Bridgeford Street
Manchester

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Short Courses

cmi-shortcourses@manchester.ac.uk

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