WCLOGIT: Stata module to perform conditional logistic regression with within-group varying weights
This command maximises the partial log-likelihood for conditional logistic regression with weights that can vary within the matched set defined by the group option. In calculations the Breslow likelihood as specified in the Stata manual. Note that only one case is allowed within one group so no ties are possible and that frequency weights are not allowed. In other words the dataset should be expanded to an "individual data" format. The main application for this function would be when you have inverse probability weights to correct for any bias introduced in selecting members of each group. A typical epidemiological design would be the case-cohort study where every case from a larger cohort is included in the analysis but a smaller random sample of all possible controls are included.
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