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Kenneth J. Wilkins, Ph.D.

Affiliations: 
2004 Harvard University, Cambridge, MA, United States 
Area:
Biostatistics Biology, Statistics
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Garrett M. Fitzmaurice grad student 2004 Harvard
 (Marginally specified conditional models for longitudinal outcomes with possibly non-ignorable non-response.)

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Casiraghi E, Wong R, Hall M, et al. (2023) A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative. Journal of Biomedical Informatics. 104295
Wilkins KJ, Fitzmaurice GM. (2007) A marginalized pattern-mixture model for longitudinal binary data when nonresponse depends on unobserved responses. Biostatistics (Oxford, England). 8: 297-305
Wilkins KJ, Fitzmaurice GM. (2006) A hybrid model for nonignorable dropout in longitudinal binary responses. Biometrics. 62: 168-76
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