09.04.2014 Views

Dr Ruth King: slides

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Individual time-varying covariates<br />

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We are particularly interested in the relationship between<br />

weight (as a proxy for condition) of an individual and their<br />

associated survival.<br />

We specify the survival probabilities as a deterministic function<br />

of their weight (i.e. a time-varying individual covariate):<br />

logit Á it = ¯0 + ¯1 w it<br />

The corresponding likelihood is no longer available in closed<br />

form.<br />

For example consider the following history:<br />

1 1 0 1 0 2: Á 1 p 2 Á 2 (1-p 3 ) Á 3 p 4 Á 4 (1-p 5 ) (1-Á 5 ) ¸6<br />

Weight unobserved<br />

Survival probabilities “unknown”

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