Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Cancer returned 88 record(s)
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Sunday, 07/29/2018
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A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
David C. Wheeler, Virginia Commonwealth University
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Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
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An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints
Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
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Competing Risks Matter in the Analysis of Public Health Data: When and How?
Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
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Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
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Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
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Bayesian Joinpoint Regression Model to Study the Effect of Smoking on Lung Cancer Incidence
Ram C. Kafle, Sam Houston State University; Melinda M. Holt, Sam Houston State University
2:05 PM
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Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:25 PM
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Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
2:45 PM
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An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints
Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
2:50 PM
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Statistical Considerations in Cervical Screening Cytology Device Evaluation
Xiaoqin Xiong, Food and Drug Administration
2:50 PM
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Competing Risks Matter in the Analysis of Public Health Data: When and How?
Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
3:05 PM
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Correlation Between the Time-To-Event Endpoints in Prostate Cancer Clinical Trials
Susan Li, Janssen R&D
3:05 PM
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Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:30 PM
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Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:35 PM
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Perils and Possibilities of EHR Data Linked to Population Disease Registries: The Example of Cancer Registry Linkage
Rebecca Hubbard, University of Pennsylvania
4:05 PM
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Spatial Statistics Approach to Develop Novel Protein Cancer Biomarkers
Inna Chervoneva, Thomas Jefferson University
4:50 PM
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Design and Analysis of Cancer Immunotherapy Trials with Potential Violation of Proportional Hazards Assumption
Xiaofei Wang, Duke University School of Medicine; Guangyu Yang , University of Michigan
5:05 PM
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Monday, 07/30/2018
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Machine Learning with Ensemble Feature Selections for Mass Spectrometry Data in Cancer Study
Yulan Liang, University of Maryland Baltimore; Amin Gharipour, Griffith University; Arpad Kelemen, University of Maryland Baltimore; Adam Kelemen, University of Maryland College Park; Hui Zhang, Johns Hopkins Medical Institutions
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Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
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Maximum Likelihood Estimation of the K Parameter in the Poly-K Trend Test for Time-to-Event Data
Anna Korpak, VA ERIC; Barbara McKnight, University of Washington
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3?-UTR Shortening Represses Tumor Suppressor Genes in Trans by Disrupting CeRNA Crosstalk
Wei Li, Baylor College of Medicine
8:35 AM
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Integration of Multiple 'Omic Data Types for Screening Disease-Related Gene Sets with Applications in Lung Cancer
Su Hee Chu, Brigham and Women's Hospital and Harvard Medical School; Yen-Tsung Huang, Academia Sinica
8:35 AM
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Non-Parametric Bayesian Methods for Causal Inference with Multiple Treatments
Michael Lopez , Skidmore College ; Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School
8:35 AM
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Some Comments on James R. Thompson's Work in Mathematical Biology
Marek Kimmel, Rice University
8:55 AM
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Building a Genomic Signature via Transfer Learning on Both Labelled and Unlabelled High-Dimensional Data: a Case Study in Predicting Prostate Cancer Metastasis
Yang Liu, GenomeDx Biosciences; Hossein Sharifi-Noghabi, Simon Fraser University; Nicholas Erho, GenomeDX Biosciences; Raunak Shrestha, Vancouver Prostate Centre; Mohammed Alshalalfa, GenomeDX Biosciences; Elai Davicioni, GenomeDX Biosciences; Colin Collins, Vancouver Prostate Centre; Martin Ester, Simon Fraser University
9:05 AM
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Instrumental Variable Methods for Comparing Cancer Survival Outcomes
Fei Wan, University of Arkansas for Medical Sciences; Dylan Small, University of Pennsylvania; Nandita Mitra, University of Pennsylvania
9:35 AM
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A Bayesian Approach to Analyzing Differential Gene Expression in Heterogeneous Tissue Samples
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City
10:35 AM
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Achieving Optimal Power of Logrank Test with Random Treatment Time-Lag Effect
Zhenzhen Xu , FDA; Yongsoek Park, Unversity of Pittsburgh; Boguang Zhen, FDA; Bin Zhu, NIH/NCI
11:00 AM
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Maximum Likelihood Estimation of the K Parameter in the Poly-K Trend Test for Time-to-Event Data
Anna Korpak, VA ERIC; Barbara McKnight, University of Washington
11:05 AM
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Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
11:15 AM
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Combining Breast Cancer Risk Prediction Models
Zoe Guan; Danielle Braun, Harvard T. H. Chan School of Public Health; Lorenzo Trippa, Harvard; Hajime Uno, Dana Farber Cancer Institute; Kevin S. Hughes, Massachusetts General Hospital; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
11:50 AM
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Estimating Tumor Fraction in Circulating Cell-Free DNA Using Shallow Whole Genome Sequencing
Venkatraman Seshan, MSKCC; Nicholas Socci, MSKCC; Dana Tsui, MSKCC; Julie Yang, MSKCC
11:50 AM
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Sample Size Determination Under Non-Proportional Hazards
Zhaowei Hua, Takeda Pharmaceuticals International Co.; Miao Yang, Oregon State University; Saran Vardhanabhuti, Takeda Pharmaceuticals
2:20 PM
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A Generalized Design for a Confirmatory Basket Trial
Robert Beckman, Georgetown University; Xiaoyun (Nicole) Li, Merck
2:25 PM
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Bayesian Nonparametric Differential Analysis with Application to Colorectal Cancer DNA Methylation
Chiyu Gu, University of Missouri; Subharup Guha, University of Florida; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
3:05 PM
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Innovative Approaches to Deal with Delayed Treatment Effect, Cure Fraction and Treatment Switching in Time-To-Event Data in Cancer Immuno-Therapies
Carl Di Casoli, Halozyme Therapeutics; Alessandro Previtali, Celgene; Jonathan Jaeger, Celgene; Marie-Laure Casaebaig, Celgene
3:05 PM
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The Problems with the Kappa Statistic as a Metric of Inter-Observer Agreement on Lesion Detection Using a Third-Reader Approach When Locations Are Not Pre-Specified
Joanna H Shih, National Cancer Institute; Matthew D Greer, National Cancer Institute; Baris Turkbey, National Cancer Institute
3:05 PM
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Tuesday, 07/31/2018
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Using Stratified Propensity Score Matching Approach to Adjust Risk Assessment for Breast Reconstruction Patients
Jun Liu, UT MDACC; Liang Li, UT MD Anderson Cancer Center; Summer Elizabeth Summer, UT MDACC; Victor Joseph Hassid, UT MDACC; Jesse Creed Selber, UT MDACC; Charles Butler, UT MDACC; Patrick Bryan Garvey, UT MDACC; Donald Baumann, UT MDACC
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Completion Rates and Considerations for Analyses of Patient-Reported Outcomes in Open-Label Cancer Trials: FDA Review of Trials, 2007 - 2017
Jessica K. Roydhouse, Office of Hematology and Oncology Products, US Food and Drug Administration; Mallorie H. Fiero, Office of Biostatistics, US Food and Drug Administration; Bellinda King-Kallimanis, Office of Hematology and Oncology Products, US Food and Drug Administration; Paul G. Kluetz, Oncology Center of Excellence, US Food and Drug Administration
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A Bayesian Adaptive Design in Cancer Phase I/II Trials with Drug Combinations Using Escalation with Overdose Control (EWOC) and Adaptive Randomization
Sungjin Kim, Cedars-Sinai Medical Center; José L. Jiménez, Politecnico di Torino; Mourad Tighiouart, Cedars-Sinai Medical Center
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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A 10-DNA Repair Gene Signature Predicts Benefits from Adjuvant Chemotherapy (ACT) in Patients with Non-Small Cell Lung Cancer (NSCLC)
Xiaokui Mo, Ohio State University-College of Medicine; Jianying Zhang, Ohio State University; Meng Xu Welliver, Ohio State University; Soledad Fernandez, The Ohio State University
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Proteomics and Genomics Integration and Ovarian Cancer Survival
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Christopher Conley, University of California at Davis; Jie Peng, UC Davis; Pei Wang, Icahn School of Medicine at Mount Sinai
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Identifying Morphologies of Precancerous Cells
Theresa Gebert, Carnegie Mellon University
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Probabilistic or Deterministic Data Linkage? Experience from Linking Cancer Registry Data with Health Claims Data
Bin Huang, University of Kentucky; Quan Chen, University of Kentucky
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Seeking Optimal Oral Cancer Drug Combinations
Ricardo Palafox, CSU Fullerton; Jessica Jaynes , CSU Fullerton
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Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
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Integrative Statistical Analysis Pipeline for RNA-Seq and NanoString with Application to Gene Expression Data of Cancer Patients
Jeea Choi, Novartis Pharmaceuticals; Catarina D. Campbell, Novartis Institutes for BioMedical Research; Xiaoshan Wang, Novartis Pharmaceuticals; He Wei, Novartis Pharmaceuticals; Robinson Douglas, Novartis Pharmaceuticals; Stephane Wong, Novartis Pharmaceuticals; Bin Fu, Novartis Pharmaceuticals; Rebecca Leary, Novartis Institutes for BioMedical Research; Kavitha Venkatesan, Novartis Institutes for BioMedical Research; Ying A Wang, Novartis Pharmaceuticals
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Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
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Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
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Integrative Statistical Analysis Pipeline for RNA-Seq and NanoString with Application to Gene Expression Data of Cancer Patients
Jeea Choi, Novartis Pharmaceuticals; Catarina D. Campbell, Novartis Institutes for BioMedical Research; Xiaoshan Wang, Novartis Pharmaceuticals; He Wei, Novartis Pharmaceuticals; Robinson Douglas, Novartis Pharmaceuticals; Stephane Wong, Novartis Pharmaceuticals; Bin Fu, Novartis Pharmaceuticals; Rebecca Leary, Novartis Institutes for BioMedical Research; Kavitha Venkatesan, Novartis Institutes for BioMedical Research; Ying A Wang, Novartis Pharmaceuticals
8:40 AM
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Age-Related Variations in Cancer Mortality Rates
Keshav Pokhrel, University of Michigan-Dearborn
8:50 AM
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Systematic Review of Test/Estimation Approach in Comparative Cancer Clinical Studies with Time-To-Event Outcomes
Miki Horiguchi, Kitasato University; Hajime Uno, Dana Farber Cancer Institute
9:05 AM
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Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
9:15 AM
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Spatial-Temporal Small Area Estimation Models for Cancer Incidence
Benmei Liu, National Cancer Institute; Li Zhu, National Cancer Institute; Huann-Sheng Chen, National Cancer Institute; Joe Zou, Information Management Services; Rebecca Siegel, American Cancer Society; Kim D. Miller, American Cancer Society; Ahmedin Jemal, American Cancer Society; Eric J. Feuer, National Cancer Institute
9:15 AM
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A Multi-Step Classifier Addressing Cohort Heterogeneity Improves Performance of Prognostic Biomarkers in Three Cancer Types
Ellis Patrick, University of Sydney; Samuel Mueller, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
9:35 AM
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Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center
9:55 AM
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Big Data Analysis Points Toward New Cancer Therapeutic Discovery Approach
Bin Chen, UCSF
10:35 AM
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A Robust Approach to Sample Size Calculation in Cancer Immunotherapy Trials with Delayed Treatment Effect
Ting Ye, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison
10:55 AM
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Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
11:15 AM
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Developing Genomic Biomarker to Guide Personalized Patient Management in Oncology: Validity and Utility of Clinical Diagnostic Applications
Michael Crager, Genomic Health; Ruixiao Lu, Genomic Health, Inc.
11:25 AM
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Identifying and Validating Surrogate Endpoints for Overall Survial (OS) in Metastatic Castration-Resistant Prostate Cancer
Xiaowei Guan, Pfizer, Inc.; Michelle Casey, Pfizer, Inc.; De Phung, Astellas Pharma, Inc. ; Suha Sari, Pfizer, Inc.; Eren Demirhan, Pfizer, Inc.
11:35 AM
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
11:45 AM
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The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: a Density Regression Mediation Approach
Katrina Devick, Harvard TH Chan School of Public Health; Linda Valeri, McLean Hospital, Harvard Medical School; Jarvis Chen, Harvard TH Chan School of Public Health; Alejandro Jara, Pontificia Universidad Catolica de Chile; Marie-Abele Bind, Harvard University; Brent A. Coull, Harvard TH Chan School of Public Health
2:05 PM
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Unsupervised Learning for Deciphering Mutational Signatures in Human Cancer
Ludmil B Alexandrov, University of California, San Diego; Velimir V Vesselinov, Los Alamos National Lab; Boian S Alexandrov, Los Alamos National Lab
2:55 PM
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Predicting Cancer Outcomes from Genomics Data
Peter Campbell, Wellcome Trust Sanger Institute
3:20 PM
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Wednesday, 08/01/2018
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Secondary Data Analysis to Predict Therapeutic Outcome of Colorectal Cancer Patients
Hannah Monique Bredikhin, Purdue University; Jun Xie, Purdue University
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Probabilistic Inference of Clonal Gene Expression Through Integration of RNA and DNA-Seq at Single-Cell Resolution
Kieran Campbell, University of British Columbia; Sohrab P Shah, BC Cancer Agency; Alexandre Bouchard-Côté, University of British Columbia
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Cross Platform Normalization Method Using Matched Sample
Serin Zhang, Florida State University; Jinfeng Zhang, Florida State University; Jiang Shao, Florida State University; Xing Qiu, University of Rochester
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Integration of Simultaneous Group Effects in MiRNA and Targeted Gene Sets in Ovarian Cancer
Wenjun He, Dept. Biostatistics, Univ. at Buffalo; Ravikumar Muthuswamy, Center for Immunotherapy, Roswell Park Comprehensive Cancer Center; Daniel Gaile, Dept. of Biostatistics, University at Buffalo; Kevin Eng, Roswell Park Comprehensive Cancer Center
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Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Charles B Hall, Albert Einstein College of Medicine; Rachel Zeig-Owens, Albert Einstein College of Medicine; Amy R. Kahn, Bureau of Cancer Epidemiology, New York State Department of Health; James Cone, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Jiehui Li, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Mark Farfel, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Robert Brackbill, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Paolo Boffetta, Icahn School of Medicine at Mount Sinai
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Moving Beyond Longrank/Hazard Ratio Test/Estimation Approach in Cancer Clinical Trials
Hajime Uno, Dana Farber Cancer Institute; Miki Horiguchi, Kitasato University
8:35 AM
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Semiparametric Estimation of the Cure Fraction in Population-Based Cancer Survival Analysis
Ennan Gu, University of South Carolina; Jiajia Zhang, University of South Carolina
9:05 AM
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Estimating Personal Cure in Colorectal Cancer Patients Using the SEER Data
Margaret Stedman, Stanford Univ
9:20 AM
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Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Charles B Hall, Albert Einstein College of Medicine; Rachel Zeig-Owens, Albert Einstein College of Medicine; Amy R. Kahn, Bureau of Cancer Epidemiology, New York State Department of Health; James Cone, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Jiehui Li, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Mark Farfel, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Robert Brackbill, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Paolo Boffetta, Icahn School of Medicine at Mount Sinai
9:40 AM
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Missing Imputation of Cancer Proteome with Iterative Prediction Model
Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Weiping Ma, Icahn School of Medicine at Mount Sinai; Pei Wang, Icahn School of Medicine at Mount Sinai ; Lin Chen, University of Chicago
9:50 AM
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Analysis of Lethal Cancer Among a Cohort of Initially Disease-Free Women
Bernard Rosner, Harvard Medical School; Elizabeth Poole, Sanofi
10:35 AM
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Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center
Sujata M Patil, Memorial Sloan Kettering Cancer Center; Ushma Neill, Memorial Sloan Kettering Cancer Center; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:55 AM
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Deep Learning in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
2:05 PM
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Direct Estimation of Differential Networks Under High-Dimensional Nonparanormal Graphical Models
Qingyang Zhang, University of Arkansas
2:20 PM
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Population-Based Disease Risk Prediction Modeling Using National Survey, Clinical, and Registry Data: Application to Risk Prediction for Oropharyngeal Cancer in the US Population
Barry Ira Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute
3:20 PM
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Thursday, 08/02/2018
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Mathematical Modeling Identifies Optimum Lapatinib Dosing Schedules for the Treatment of Glioblastoma Patients
Shayna Stein, Harvard University; Franziska Michor, Dana Farber Cancer Institute
9:05 AM
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A Bayesian Adaptive Phase 1/2 Design of Cisplatin and Cabazitaxel in Prostate Cancer with Visceral Metastasis
Mourad Tighiouart, Cedars-Sinai Medical Center
10:35 AM
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Individualized Dosing Sequences in Dynamic Precision Medicine for Cancer
Robert Beckman, Georgetown University
11:15 AM
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Developing Polygenic Risk Prediction Models for Cancer Subtypes Incorporating Multivariate Disease Characteristics
Haoyu Zhang, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; Ni Zhao, Johns Hopkins University; Montserrat García-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:20 AM
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Survival Analysis of Recurrent Events on Prostate Cancer: Facts from Cancer Genome
Munni Begum, Ball State University
11:35 AM
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