Abstract

This core resource aims to encourage exchange and critique among the 14 participating biostatistical investigators, and to provide overall leadership and coordination to the Program. It also aims to aid in the identification of future directions and emphasis, and to respond to Program opportunities and needs. Additionally, the core supports the development of statistical software related to methods emerging from the Program and maintains a modest website to facilitate access to Program-related information. Coordination, exchange, and critique take place through a simple committee structure, and through monthly informational seminars involving all Program investigators. Progress review and critique are also facilitated by interaction with an external Scientific Advisory Committee.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA053996-32
Application #
7876624
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
32
Fiscal Year
2009
Total Cost
$45,607
Indirect Cost

  Institution

Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109

  Publications

Howard, Barbara V; Aragaki, Aaron K; Tinker, Lesley F et al. (2018) A Low-Fat Dietary Pattern and Diabetes: A Secondary Analysis From the Women's Health Initiative Dietary Modification Trial. Diabetes Care 41:680-687
Huang, Yijian; Wang, Ching-Yun (2018) Cox regression with dependent error in covariates. Biometrics 74:118-126
Su, Yu-Ru; Di, Chongzhi; Bien, Stephanie et al. (2018) A Mixed-Effects Model for Powerful Association Tests in Integrative Functional Genomics. Am J Hum Genet 102:904-919
Liu, Dandan; Cai, Tianxi; Lok, Anna et al. (2018) Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs. J Am Stat Assoc 113:882-892
Yu, Hsiang; Cheng, Yu-Jen; Wang, Ching-Yun (2018) Methods for multivariate recurrent event data with measurement error and informative censoring. Biometrics 74:966-976
Monaco, John V; Gorfine, Malka; Hsu, Li (2018) General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv. J Stat Softw 86:
Dai, James Y; Wang, Xiaoyu; Buas, Matthew F et al. (2018) Whole-genome sequencing of esophageal adenocarcinoma in Chinese patients reveals distinct mutational signatures and genomic alterations. Commun Biol 1:174
Dai, James Y; Peters, Ulrike; Wang, Xiaoyu et al. (2018) Diagnostics for Pleiotropy in Mendelian Randomization Studies: Global and Individual Tests for Direct Effects. Am J Epidemiol 187:2672-2680
Dai, James Y; Liang, C Jason; LeBlanc, Michael et al. (2018) Case-only approach to identifying markers predicting treatment effects on the relative risk scale. Biometrics 74:753-763
Prentice, Ross L; Zhao, Shanshan (2018) Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan-Meier estimator. Lifetime Data Anal 24:3-27

Showing the most recent 10 out of 319 publications