The members of the department of Epidemiology and Biostatistics at Memorial Sloan-Kettering Cancer Center are involved in several multi-disciplinary research projects which often give rise to methodological problems. Our working paper series reflect this emphasis on applications of novel statistical methods.
The methodologic research interests in our department span many areas of biostatistics relevant to the research conducted in the Center, including prevention (epidemiology and genetics), diagnosis, and treatment (clinical trials), and other specialized topics such as health outcomes, genomics and the analysis of observational studies. Topics receiving particular attention include clinical trials, survival analysis, designs for identifying new genetic markers, analysis of high-throughput experiments, clustered data, diagnostic tests, Bayesian methods, penetrance and relative risk estimation.
Papers from 2017
Optimized Variable Selection Via Repeated Data Splitting, Marinela Capanu, Colin B. Begg, and Mithat Gonen
Variance prior specification for a basket trial design using Bayesian hierarchical modeling, Kristen Cunanan, Alexia Iasonos, Ronglai Shen, and Mithat Gonen
Estimating the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients, Audrey Mauguen, Venkatraman E. Seshan, Irina Ostrovnaya, and Colin B. Begg
Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters, Andy Ni and Jianwen Cai
Papers from 2016
An Efficient Basket Trial Design, Kristen Cunanan, Alexia Iasonos, Ronglai Shen, Colin B. Begg, and Mithat Gonen
Variable Selection for Case-Cohort Studies with Failure Time Outcome, Andy Ni, Jianwen Cai, and Donglin Zeng
FACETS: Allele-Specific Copy Number and Clonal Heterogeneity Analysis Tool Estimates for High-Throughput DNA Sequencing, Ronglai Shen and Venkatraman Seshan
Papers from 2015
Inferential Methods to Assess the Difference in the Area Under the Curve From Nested Binary Regression Models, Glenn Heller, Venkatraman E. Seshan, Chaya S. Moskowitz, and Mithat Gonen
Papers from 2014
Dose expansion cohorts in Phase I trials, Alexia Iasonos and John O'Quigley
Papers from 2013
Mixtures of Receiver Operating Characteristic Curves, Mithat Gonen
Visualizing Longitudinal Data with Dropouts, Mithat Gonen
Papers from 2012
A Systematic Selection Method for the Development of Cancer Staging Systems, Yunzhi Lin, Richard Chappell, and Mithat Gonen
Sparse Integrative Clustering of Multiple Omics Data Sets, Ronglai Shen, Sijian Wang, and Qianxing Mo
Papers from 2011
Building a Nomogram for Survey-Weighted Cox Models Using R, Marinela Capanu and Mithat Gonen
A Hybrid Bayesian Laplacian Approach for Generalized Linear Mixed Models, Marinela Capanu, Mithat Gonen, and Colin B. Begg
Bland-Altman Plots for Evaluating Agreement Between Solid Tumor Measurements, Chaya S. Moskowitz and Mithat Gonen
Comparing ROC Curves Derived From Regression Models, Venkatraman E. Seshan, Mithat Gonen, and Colin B. Begg
Papers from 2010
Assessing noninferiority in a three-arm trial using the Bayesian Approach, Pulak Ghosh, Farouk S. Nathoo, Mithat Gonen, and Ram C. Tiwari
Papers from 2009
A classification model for distinguishing copy number variants from cancer-related alterations, Irina Ostrovnaya, Gouri Nanjangud, and Adam Olshen
Integrative Clustering of Multiple Genomic Data Types using a Joint Latent Variable Model with Application to Breast and Lung Cancer Subtype Analysis, Ronglai Shen, Adam Olshen, and Marc Ladanyi
Papers from 2008
Optimal Cutpoint Estimation with Censored Data, Mithat Gonen and Camelia Sima
A Metastasis or a Second Independent Cancer? Evaluating the Clonal Origin of Tumors Using Array-CGH Data, Irina Ostrovnaya, Adam Olshen, Venkatraman E. Seshan, Irene Orlow, D G. Albertson, and Colin B. Begg
Papers from 2007
Statistical Evaluation of Evidence for Clonal Allelic Alterations in array-CGH Experiments, Colin B. Begg, Kevin Eng, Adam Olshen, and E S. Venkatraman
Estimating the Empirical Lorenz Curve and Gini Coefficient in the Presence of Error, Chaya S. Moskowitz, E. S. Venkatraman, Elyn Riedel, and Colin B. Begg
On Comparing the Clustering of Regression Models Method with K-means Clustering, Li-Xuan Qin and Steven G. Self
Sequential Quantitative Trait Locus Mapping in Experimental Crosses, Jaya M. Satagopan, Saunak Sen, and Gary A. Churchill
Papers from 2006
Semiparametric Bayesian Modeling of Multivariate Average Bioequivalence, Pulak Ghosh Dr. and Mithat Gonen
Lehmann Family of ROC Curves, Mithat Gonen and glenn heller
Smoothed Rank Regression with Censored Data, glenn heller
Comparing the Predictive Values of Diagnostic Tests: Sample Size and Analysis for Paired Study Designs, Chaya S. Moskowitz and Margaret S. Pepe
Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity, Adrian E. Raftery, Michael A. Newton, Jaya M. Satagopan, and Pavel N. Krivitsky
A Faster Circular Binary Segmentation Algorithm for the Analysis of Array CGH Data, E S. Venkatraman and Adam Olshen
Papers from 2005
Computing the Total Sample Size When Group Sizes Are Not Fixed, Mithat Gonen
Concordance Probability and Discriminatory Power in Proportional Hazards Regression, Mithat Gonen and Glenn Heller
The Bayesian two-sample t-test, Mithat Gonen, Wesley O. Johnson, Yonggang Lu, and Peter H. Westfall
Power Calculations for Preclinical Studies Using a K-Sample Rank Test and the Lehmann Alternative Hypothesis, Glenn Heller