Optimal allocation in stratified cluster-based outcome-dependent sampling designs.
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DOI: 10.1002/sim.9016
Abstract: In public health research, finite resources often require that decisions be made at the study design stage regarding which individuals to sample for detailed data collection. At the same time, when study units are naturally… read more here.
Keywords: outcome dependent; cluster based; based outcome; allocation ... See more keywords
Model misspecification and robust analysis for outcome‐dependent sampling designs under generalized linear models
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DOI: 10.1002/sim.9673
Abstract: Outcome‐dependent sampling (ODS) is a commonly used class of sampling designs to increase estimation efficiency in settings where response information (and possibly adjuster covariates) is available, but the exposure is expensive and/or cumbersome to collect.… read more here.
Keywords: likelihood; dependent sampling; analysis; phase ... See more keywords
Improving estimation efficiency for two-phase, outcome-dependent sampling studies
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DOI: 10.1214/23-ejs2124
Abstract: Two-phase outcome dependent sampling (ODS) is widely used in many fields, especially when certain covariates are expensive and/or difficult to measure. For two-phase ODS, the conditional maximum likelihood (CML) method is very attractive because it… read more here.
Keywords: phase outcome; dependent sampling; outcome dependent; phase ... See more keywords