Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies
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Publication:4666635
DOI10.1111/j.0006-341X.1999.00718.xzbMath1059.62733WikidataQ73789805 ScholiaQ73789805MaRDI QIDQ4666635
Clarice R. Weinberg, David M. Umbach
Publication date: 13 April 2005
Published in: Biometrics (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Numerical analysis or methods applied to Markov chains (65C40)
Related Items (12)
Pooling Designs for Outcomes under a Gaussian Random Effects Model ⋮ On Latent-Variable Model Misspecification in Structural Measurement Error Models for Binary Response ⋮ Single-index regression for pooled biomarker data ⋮ Nonparametric-likelihood inference based on cost-effectively-sampled-data ⋮ Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach ⋮ Statistical Inference Based on Pooled Data: A Moment-Based Estimating Equation Approach ⋮ Nonparametric deconvolution of density estimation based on observed sums ⋮ Regression for skewed biomarker outcomes subject to pooling ⋮ An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay ⋮ Case-control data analysis for randomly pooled biomarkers ⋮ A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity ⋮ Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme
Cites Work
- Logistic disease incidence models and case-control studies
- Statistical Comparison of Multiple Analytic Procedures: Application to Clinical Chemistry
- Group testing with a new goal, estimation
- Screening for the Presence of a Disease by Pooling Sera Samples
- A Two-Stage Adaptive Group-Testing Procedure for Estimating Small Proportions
- Screening with Cost-Effective Quality Control: Potential Applications to HIV and Drug Testing
- On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
- Separate sample logistic discrimination
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