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.

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Papers from 2013

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Mixtures of Receiver Operating Characteristic Curves, Mithat Gonen

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Visualizing Longitudinal Data with Dropouts, Mithat Gonen

Papers from 2012

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A Systematic Selection Method for the Development of Cancer Staging Systems, Yunzhi Lin, Richard Chappell, and Mithat Gonen

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Sparse Integrative Clustering of Multiple Omics Data Sets, Ronglai Shen, Sijian Wang, and Qianxing Mo

Papers from 2011

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Building a Nomogram for Survey-Weighted Cox Models Using R, Marinela Capanu and Mithat Gonen

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A Hybrid Bayesian Laplacian Approach for Generalized Linear Mixed Models, Marinela Capanu, Mithat Gonen, and Colin B. Begg

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Bland-Altman Plots for Evaluating Agreement Between Solid Tumor Measurements, Chaya S. Moskowitz and Mithat Gonen

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Comparing ROC Curves Derived From Regression Models, Venkatraman E. Seshan, Mithat Gonen, and Colin B. Begg

Papers from 2010

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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

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A classification model for distinguishing copy number variants from cancer-related alterations, Irina Ostrovnaya, Gouri Nanjangud, and Adam Olshen

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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

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Optimal Cutpoint Estimation with Censored Data, Mithat Gonen and Camelia Sima

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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

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Statistical Evaluation of Evidence for Clonal Allelic Alterations in array-CGH Experiments, Colin B. Begg, Kevin Eng, Adam Olshen, and E S. Venkatraman

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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

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On Comparing the Clustering of Regression Models Method with K-means Clustering, Li-Xuan Qin and Steven G. Self

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Sequential Quantitative Trait Locus Mapping in Experimental Crosses, Jaya M. Satagopan, Saunak Sen, and Gary A. Churchill

Papers from 2006

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Semiparametric Bayesian Modeling of Multivariate Average Bioequivalence, Pulak Ghosh Dr. and Mithat Gonen

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Lehmann Family of ROC Curves, Mithat Gonen and glenn heller

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Smoothed Rank Regression with Censored Data, glenn heller

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Comparing the Predictive Values of Diagnostic Tests: Sample Size and Analysis for Paired Study Designs, Chaya S. Moskowitz and Margaret S. Pepe

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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

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A Faster Circular Binary Segmentation Algorithm for the Analysis of Array CGH Data, E S. Venkatraman and Adam Olshen

Papers from 2005

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Computing the Total Sample Size When Group Sizes Are Not Fixed, Mithat Gonen

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Concordance Probability and Discriminatory Power in Proportional Hazards Regression, Mithat Gonen and Glenn Heller

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The Bayesian two-sample t-test, Mithat Gonen, Wesley O. Johnson, Yonggang Lu, and Peter H. Westfall

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Power Calculations for Preclinical Studies Using a K-Sample Rank Test and the Lehmann Alternative Hypothesis, Glenn Heller