Biased sampling designs to improve research efficiency: factors influencing pulmonary function over time in children with asthma

DOI10.1214/15-AOAS826zbMath1397.62472arXiv1509.04824OpenAlexW3123507601WikidataQ36001336 ScholiaQ36001336MaRDI QIDQ746666

Jonathan S. Schildcrout, Paul J. Rathouz, Shawn P. Garbett, Leila R. Zelnick, Patrick J. Heagerty

Publication date: 28 October 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1509.04824

zbMATH Keywords

multiple imputationtime-dependent covariateslongitudinal data analysisconditional likelihoodbiased samplingchildhood asthmaepidemiological study designforced vital capacitylinear mixed effect modelsoutcome dependent sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Medical applications (general) (92C50)

Related Items (3)

Accelerated failure time model for data from outcome-dependent sampling ⋮ Time-dependent classification accuracy curve under marker-dependent sampling ⋮ Biased sampling designs to improve research efficiency: factors influencing pulmonary function over time in children with asthma

Uses Software

• R
• lme4
• MICE

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