Jonathan S. Schildcrout, Ph.D.

Affiliations: 
2004 University of Washington, Seattle, Seattle, WA 
Area:
Public Health, Biostatistics Biology
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"Jonathan Schildcrout"
Cross-listing: PHTree

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Patrick J. Heagerty grad student 2004 University of Washington
 (Marginal modeling of longitudinal, binary response data: Semiparametric and parametric estimation with long response series and an efficient outcome dependent sampling design.)
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Publications

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Di Gravio C, Schildcrout JS, Tao R. (2024) Efficient designs and analysis of two-phase studies with longitudinal binary data. Biometrics. 80
Schildcrout JS, Harrell FE, Heagerty PJ, et al. (2022) Model-assisted analyses of longitudinal, ordinal outcomes with absorbing states. Statistics in Medicine
Tao R, Mercaldo ND, Haneuse S, et al. (2021) Two-wave two-phase outcome-dependent sampling designs, with applications to longitudinal binary data. Statistics in Medicine
McGee G, Perkins NJ, Mumford SL, et al. (2020) Methodological Issues in Population-Based Studies of Multigenerational Associations. American Journal of Epidemiology
Schildcrout JS, Haneuse S, Tao R, et al. (2019) Two-phase, generalized case-control designs for quantitative longitudinal outcomes. American Journal of Epidemiology
Mercaldo ND, Brothers KB, Carrell DS, et al. (2018) Enrichment sampling for a multi-site patient survey using electronic health records and census data. Journal of the American Medical Informatics Association : Jamia
Zelnick LR, Schildcrout JS, Heagerty PJ. (2018) Likelihood-based analysis of outcome-dependent sampling designs with longitudinal data. Statistics in Medicine
Schildcrout JS, Schisterman EF, Aldrich MC, et al. (2017) Outcome-related, auxiliary variable sampling designs for longitudinal binary data. Epidemiology (Cambridge, Mass.)
Schildcrout JS, Schisterman EF, Mercaldo ND, et al. (2017) Extending the case-control design to longitudinal data: stratied sampling based on repeated binary outcomes. Epidemiology (Cambridge, Mass.)
Sanderson SC, Brothers KB, Mercaldo ND, et al. (2017) Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US. American Journal of Human Genetics
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