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The nonresponse weighting adjustment of the Population-based HIV Impact Assessment (PHIA) surveys uses the weighting class method in combination with a tree analysis to identify predictors significant to response propensity. Variable selection for this type of nonresponse adjustment identifies auxiliary variables correlated with response propensity alone and produces 1 set of weights applicable for all analyses of the survey data. An alternative approach identifies auxiliary variables correlated to both the response probability and selected key outcome variables. This approach may identify a different set of variables for the nonresponse adjustments and may produce more efficient estimates for the key outcome variables.

Evaluating Nonresponse Weighting Adjustment for the Population-Based HIV Impact Assessment Surveys on Incorporating Survey Outcomes