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Activity Number: 252 - Replicate Weights and Variance Estimation
Type: Contributed
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #329883 Presentation
Title: Population Based Case Control Studies with Frequency Matching: Capturing a Further Component of Variability
Author(s): Sabrina Zhang* and Ralph DiGaetano and Jane Li
Companies: Westat and Westat and Westat
Keywords: population based case-control studies; frequency matching; analysis of survey data; complex surveys; sample weights; poststratification
Abstract:

When a population-based case control study is undertaken, frequency matching is often employed (e.g., the sample distribution of controls may be frequency matched at a 1 to 1 rate to the expected sample case distribution on 5 year age categories and gender). This helps limit the contribution of the matched variables to sample variation, assuming these variables are known risk factors for the disease in question and that the case distribution fully reflects the underlying distribution of the (super)population from which the cases have been sampled. However, since the cases are a sample, their distribution may vary from that of the full population. With controls being matched to a sample distribution, there is a resulting contribution to sample variation in the analysis of case control data that is largely ignored. Here we consider a way in which this contribution may be reflected in analyses through the use of replicate weights calibrated to sample based population estimates-estimates for all case sample subgroups formed by the cross-classification of the matching variables. Data from the Young Women's Health History Study are used for evaluation purposes.


Authors who are presenting talks have a * after their name.

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