Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Institutional National Research Service Award (T32)
Project #
5T32CA009337-15
Application #
2085317
Study Section
Cancer Institutional Fellowship Review Committee (CT)
Project Start
1979-06-01
Project End
1995-08-31
Budget Start
1994-02-01
Budget End
1995-08-31
Support Year
15
Fiscal Year
1994
Total Cost
Indirect Cost
Name
Harvard University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
082359691
City
Boston
State
MA
Country
United States
Zip Code
02115
Braun, Danielle; Gorfine, Malka; Katki, Hormuzd A et al. (2018) Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models. J Am Stat Assoc 113:14-25
Patil, Prasad; Parmigiani, Giovanni (2018) Training replicable predictors in multiple studies. Proc Natl Acad Sci U S A 115:2578-2583
Sun, Ryan; Horiguchi, Miki; Wei, Lee-Jen (2018) Interpreting the Benefit of Trifluridine/Tipiracil in Metastatic Colorectal Cancer With Respect to Progression-Free Survival and Overall Survival. J Clin Oncol 36:1378-1379
Patro, Rob; Duggal, Geet; Love, Michael I et al. (2017) Salmon provides fast and bias-aware quantification of transcript expression. Nat Methods 14:417-419
Collado-Torres, Leonardo; Nellore, Abhinav; Frazee, Alyssa C et al. (2017) Flexible expressed region analysis for RNA-seq with derfinder. Nucleic Acids Res 45:e9
Chipman, J; Braun, D (2017) Simpson's paradox in the integrated discrimination improvement. Stat Med 36:4468-4481
Braun, Danielle; Gorfine, Malka; Parmigiani, Giovanni et al. (2017) Propensity scores with misclassified treatment assignment: a likelihood-based adjustment. Biostatistics 18:695-710
Love, Michael I; Hogenesch, John B; Irizarry, Rafael A (2016) Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation. Nat Biotechnol 34:1287-1291
Li, Shuli; Gray, Robert J (2016) Estimating treatment effect in a proportional hazards model in randomized clinical trials with all-or-nothing compliance. Biometrics 72:742-50
Haneuse, Sebastien; Bogart, Andy; Jazic, Ina et al. (2016) Learning About Missing Data Mechanisms in Electronic Health Records-based Research: A Survey-based Approach. Epidemiology 27:82-90

Showing the most recent 10 out of 90 publications