Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates

DOI10.1016/j.csda.2008.02.010zbMath1453.62124OpenAlexW2118972202WikidataQ109408669 ScholiaQ109408669MaRDI QIDQ961350

Juha Karvanen, Dario Gasbarra, Sangita Kulathinal

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.02.010

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)

Related Items (5)

Bayesian subcohort selection for longitudinal covariate measurements in follow‐up studies ⋮ Principles of experimental design for big data analysis ⋮ Approximate cost-efficient sequential designs for binary response models with application to switching measurements ⋮ Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide ⋮ Study Design in Causal Models

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