Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
3R01CA057030-08S1
Application #
2438203
Study Section
Special Emphasis Panel (ZRG7-STA (01))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1992-09-01
Project End
2000-06-30
Budget Start
1996-09-15
Budget End
1997-06-30
Support Year
8
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Texas A&M University
Department
Biostatistics & Other Math Sci
Type
Schools of Earth Sciences/Natur
DUNS #
047006379
City
College Station
State
TX
Country
United States
Zip Code
77845
Sarkar, Abhra; Pati, Debdeep; Chakraborty, Antik et al. (2018) Bayesian Semiparametric Multivariate Density Deconvolution. J Am Stat Assoc 113:401-416
Sun, Ryan; Carroll, Raymond J; Christiani, David C et al. (2018) Testing for gene-environment interaction under exposure misspecification. Biometrics 74:653-662
Tekwe, Carmen D; Zoh, Roger S; Bazer, Fuller W et al. (2018) Functional multiple indicators, multiple causes measurement error models. Biometrics 74:127-134
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Hong, Chuan; Ning, Yang; Wang, Shuang et al. (2017) PLEMT: A NOVEL PSEUDOLIKELIHOOD BASED EM TEST FOR HOMOGENEITY IN GENERALIZED EXPONENTIAL TILT MIXTURE MODELS. J Am Stat Assoc 112:1393-1404
Pfeiffer, Ruth M; Redd, Andrew; Carroll, Raymond J (2017) On the impact of model selection on predictor identification and parameter inference. Comput Stat 32:667-690
Keadle, Sarah Kozey; Sampson, Joshua N; Li, Haocheng et al. (2017) An Evaluation of Accelerometer-derived Metrics to Assess Daily Behavioral Patterns. Med Sci Sports Exerc 49:54-63
Ma, Shujie; Ma, Yanyuan; Wang, Yanqing et al. (2017) A Semiparametric Single-Index Risk Score Across Populations. J Am Stat Assoc 112:1648-1662
Keogh, Ruth H; Carroll, Raymond J; Tooze, Janet A et al. (2016) Statistical issues related to dietary intake as the response variable in intervention trials. Stat Med 35:4493-4508
Kipnis, Victor; Freedman, Laurence S; Carroll, Raymond J et al. (2016) A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology. Biometrics 72:106-15

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