MODERN METHODS OF LONGITUDINAL DATA ANALYSIS (LDA)
using STATA
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A 3-day practical course using STATA by Professor Andrew Pickles
13/15th October 1999 at the University of Manchester
Objectives
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To provides an overview of LDA methods but particularly various
formulations of random effects models for continuous and discrete
data. Practical familiarity with ordinary and logistic regression is
assumed. Examples will be drawn from the health and social fields.
Outline Programme
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Registration and Coffee 10.00a.m.
Day 1
10.30-10.45 Introductions and Overview
10.45-12.30 Introduction to STATA
Change and covariance models for repeated
measures data
12.30-1.30 Lunch
1.30-2.45 Population average models
Pooled cross-sectional models
2.45-3.15 Tea
3.15-4.30 Generalized Estimating Equation models
Day 2
9.30-10.45 Random Effects and Fixed Effects
models
10.45-11.15 Coffee
11.15-12.30 Distributions for heterogeneity
- propensities or types
12.30-1.30 Lunch
1.30-2.45 Growth curve and latent trajectory models
2.45-3.15 Tea
3.15-4.30 Review and Comparison
Day 3
9.30-10.45 Censored data
- current status models
- censored regression
10.45-11.15 Coffee
11.15-12.30 Interval censored data
12.30-1.30 Lunch
1.30-2.45 Continuous time survival models
2.45-3.00 Tea
3.00-4.00 Review
Further details from Sue Shepherd in the School of Epidemiology and
Health Science, University of Manchester, Oxford Road, Manchester M13
9PT ([log in to unmask] 0161-275-5210) Current Pricing (1/8/1999):
Academic £300, Non-Academic £400 (including course notes/text book and
refreshments). Places are limited to 20 participants.
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