ArticleStatistics in medicine2020
Optimal multiwave sampling for regression modeling in two-phase designs.
Article in Statistics in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Optimal Two-Phase Sampling Designs for Generalized Raking Estimators With Multiple Parameters of Interest.Statistics in medicine · 2026Article
- Data validation in multinational observational studies with error-prone data: applying an optimal validation sampling strategy in a study of Kaposi sarcoma and HIV.American journal of epidemiology · 2025Article
- Overcoming data challenges through enriched validation and targeted sampling to measure whole-person health in electronic health records.Journal of biomedical informatics · 2025Article
- Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall.Journal of statistical software · 2025Article
- Applying survey weights to ordinal regression models for improved inference in outcome-dependent samples with ordinal outcomes.Statistical methods in medical research · 2024Article
- Optimal multiwave validation of secondary use data with outcome and exposure misclassification.The Canadian journal of statistics = Revue canadienne de statistique · 2024Article
- Article
- Practical strategies for operationalizing optimal allocation in stratified cluster-based outcome-dependent sampling designs.Statistics in medicine · 2023Article
- Optimal sampling allocation for outcome-dependent designs in cluster-correlated data settings.Statistical methods in medical research · 2022Article
- Efficient odds ratio estimation under two-phase sampling using error-prone data from a multi-national HIV research cohort.Biometrics · 2022Article
- Optimal sampling for design-based estimators of regression models.Statistics in medicine · 2022Article
- Two-Phase Sampling Designs for Data Validation in Settings with Covariate Measurement Error and Continuous Outcome.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2021Article
- Optimal allocation in stratified cluster-based outcome-dependent sampling designs.Statistics in medicine · 2021Article
- Improved generalized raking estimators to address dependent covariate and failure-time outcome error.Biometrical journal. Biometrische Zeitschrift · 2021Article
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2 authors.
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Abstract
Two-phase designs involve measuring extra variables on a subset of the cohort where some variables are already measured. The goal of two-phase designs is to choose a subsample of individuals from the cohort and analyse that subsample efficiently. It is of interest to obtain an optimal design that gives the most efficient estimates of regression parameters. In this article, we propose a multiwave sampling design to approximate the optimal design for design-based estimators. Influence functions are used to compute the optimal sampling allocations. We propose to use informative priors on regression parameters to derive the wave-1 sampling probabilities because any prespecified sampling probabilities may be far from optimal and decrease the design efficiency. The posterior distributions of the regression parameters derived from the current wave will then be used as priors for the next wave. Generalized raking is used in the final statistical analysis. We show that a two-wave sampling with reasonable informative priors will end up with a highly efficient estimation for the parameter of interest and be close to the underlying optimal design.
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