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Jason P. Fine

Affiliations: 
University of Wisconsin, Madison, Madison, WI 
Area:
Statistics, Biostatistics Biology
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"Jason Fine"

Parents

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Lee-Jen Wei grad student (Epi Tree)

Children

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Limin Peng grad student 2005 UW Madison
Yu Cheng grad student 2006 UW Madison
Chunpeng Fan grad student 2007 UW Madison
Rajat Mukherjee grad student 2007 UW Madison
Minjung Lee grad student 2008 UW Madison
Feng-Chang Lin grad student 2008 UW Madison
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Publications

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Lee M, Feuer EJ, Wang Z, et al. (2019) Analyzing discrete competing risks data with partially overlapping or independent data sources and nonstandard sampling schemes, with application to cancer registries. Statistics in Medicine
Kim JI, Lin FC, Fine JP. (2019) On the self-triggering Cox model for recurrent event data. Statistics in Medicine
Bellach A, Kosorok MR, Rüschendorf L, et al. (2019) Weighted NPMLE for the Subdistribution of a Competing Risk. Journal of the American Statistical Association. 114: 259-270
Todem D, Hsu WW, Fine JP. (2018) A quasi-score statistic for homogeneity testing against covariate-varying heterogeneity. Scandinavian Journal of Statistics, Theory and Applications. 45: 465-481
Lee M, Feuer EJ, Fine JP. (2018) On the analysis of discrete time competing risks data. Biometrics
Li J, Feng Q, Fine JP, et al. (2017) Nonparametric estimation and inference for polytomous discrimination index. Statistical Methods in Medical Research. 962280217692830
Vickery BP, Berglund JP, Burk CM, et al. (2016) Early oral immunotherapy in peanut-allergic preschool children is safe and highly effective. The Journal of Allergy and Clinical Immunology
Gouskova NA, Lin FC, Fine JP. (2016) Nonparametric analysis of competing risks data with event category missing at random. Biometrics
Austin PC, Lee DS, D'Agostino RB, et al. (2016) Developing points-based risk-scoring systems in the presence of competing risks. Statistics in Medicine
Wong KY, Goldberg Y, Fine JP. (2016) Oracle estimation of parametric models under boundary constraints. Biometrics
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