Announcing the following courses taking place at the Statistical Services Centre, The University of Reading, in mid-April. For further enquiries and/or to register email [log in to unmask] Course details and an application form are also available on our website - view "short courses" on http://www.reading.ac.uk/ssc/ and follow the links.
Advanced Topics in Survival Analysis (8 - 10 April, 2.5 days)
The most commonly used methods of dealing with survival, and other "time to event" data, are based on the assumption of proportional hazards. This course reviews these models and introduces models for different types of data structure, or with different underlying assumptions.
During lectures and practical sessions the statistical package SAS will be used to illustrate the methodologies.
Course content
a.. Overview of the Cox and Weibull proportional hazards models
b.. Time-dependent variates
c.. Interval-censored survival data
d.. The accelerated failure time model and other parametric models
e.. Non-proportional hazards
f.. Model checking
g.. Frailty models
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Generalized Estimating Equations - What, Why and How (11-12 April, 2 days)
The methodology of generalized estimating equations (GEEs) was developed in the mid-1980s by Liang and Zeger for analysing longitudinal data. This course will introduce GEE methodology and explain how it fits in with other modelling techniques.
The use of GEEs for modelling correlated data such as repeated measurements will be covered, and emphasis will be placed on how the methodology can be implemented. Fitting GEEs will be demonstrated during lecture sessions, and participants will have the opportunity to fit models themselves. Examples using count data and binary and categorical data will be given. The statistical package SAS will be used on this course.
Course content
a.. Review of likelihood methods
b.. General introduction to GEE terminology, e.g. working correlation matrix; robust and naive estimates
c.. Liang and Zeger methodology
d.. Model fitting; interpretation of output
e.. Comparing different fixed effects models
f.. Choice of working correlation structure
g.. Alternating logistic regression models
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Statistical Services Centre
The University of Reading
Harry Pitt Building
Whiteknights Road
Reading
RG6 6FN
UK
http://www.rdg.ac.uk/ssc/
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