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JCO Precision Oncology|September 14, 2020
Biomarker-Driven Oncology Clinical Trials: Key Design Elements, Types, Features, and Practical ConsiderationsChen Hu, James J DignamBiometrics|March 23, 2004
Semiparametric models for cumulative incidence functionsJohn Bryant, James J DignamJournal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|August 20, 2008
Choice and interpretation of statistical tests used when competing risks are presentJames J Dignam, Maria N KocherginskyStatistical Methods in Medical Research|February 3, 2017
Flexible modeling of the hazard rate and treatment effects in long-term survival studiesYolanda Hagar, James J Dignam, Vanja DukicJournal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 13, 2021
Statistical Considerations in the Evaluation of Continuous BiomarkersMei-Yin C Polley, James J DignamChinese Clinical Oncology|April 6, 2015
Prevention of colorectal cancer and dietary managementNingqi Hou, Dezheng Huo, James J DignamClinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 28, 2012
The use and interpretation of competing risks regression modelsJames J Dignam, Qiang Zhang, Masha KocherginskyStatistics in Medicine|July 22, 2014
Multiple imputation methods for nonparametric inference on cumulative incidence with missing cause of failureMinjung Lee, James J Dignam, Junhee HanStatistics in Medicine|November 4, 2014
Assessing treatment benefit with competing risks not affected by the randomized treatmentEdward L Korn, James J Dignam, Boris FreidlinStatistics in Medicine|June 7, 2006
A missing data approach to semi-competing risks problemsJames J Dignam, Kelly Wieand, Paul J RathouzPageof 126