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Cancer Control Research

Surveillance Research   Active Grants

This list contains grants carried over from prior fiscal years and new grants awarded in the current fiscal year.

Grants 1 to 79 of 79

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PI Name
Organization Name
Project Title
(click for Abstract)
Grant Number
(click for Publications)**
Airoldi, Edoardo Maria
Harvard University
16th IMS New Researchers Conference 1R13CA189533-01
Baladandayuthapani, Veerabhadran
University Of Tx Md Anderson Can Ctr
Integrative methods for high-dimensional genomics data 5R01CA160736-04
Begg, Colin B.
Sloan-Kettering Inst Can Research
Statistical Strategies for Establishing Etiologic Heterogeneity of Tumors 5R01CA163251-03
Biswas, Swati
University Of Texas Dallas
Identifying rare haplotype-environment interactions using Logistic Bayesian Lasso 5R03CA171011-03
Biswas, Swati
University Of Texas Dallas
A Model for Individualized Risk Prediction of Contralateral Breast Cancer 1R21CA186086-01
Bui, Alex
University Of California Los Angeles
A Predictive Prognostic Model for Glioblastoma Multiforme 5R01CA157553-03
Carlin, Bradley P.
University Of Minnesota
Statistical Methods and Software for More Efficient, Ethical, and Affordable Clin 5R01CA157458-03
Chen, Jinbo
University Of Pennsylvania
Statistical Methods for Cancer Absolute Risk Prediction 5R01CA164305-02
Chen, Lin
University Of Chicago
Multivariate functional analysis of the genetic basis of cancer 5R03CA174984-02
Chen, Ying Qing
Fred Hutchinson Cancer Research Center
Methods for Time-Varying Disease Attribution in Chronic Disease Prevention 5R01CA172415-02
Crothers, Kristina Anne
University Of Washington
Benefits and Harms of Lung Cancer Screening in HIV Infection 5R01CA173754-02
Daniels, Michael J.
University Of Texas, Austin
Bayesian methods for (incomplete) longitudinal Cancer data 7R01CA085295-13
Daniels, Michael J.
University Of Texas, Austin
Bayesian approaches for missingness and causality in cancer and behavior studies 1R01CA183854-01
Davidian, Marie
North Carolina State University Raleigh
Flexible Statistical Methods for Biomedical Data 5R01CA085848-14
Esserman, Laura J.
University Of California, San Francisco
Modeling the Impact of Targeted Therapy Based on Breast Cancer Subtypes 1U01CA187945-01
Etzioni, Ruth D.
Fred Hutchinson Cancer Research Center
PROMISS - Prostate Modeling to Identify Surveillance Strategies 5R01CA183570-02
Etzioni, Ruth D.
Fred Hutchinson Cancer Research Center
Modeling prostate cancer control: prevention, screening, treatment, followup care 5U01CA157224-05
Extermann, Martine
H. Lee Moffitt Cancer Ctr & Res Inst
Decision Models to Compare Treatments in Older Patients with AML 5R01CA168677-02
Guan, Yongtao
University Of Miami Coral Gables
New Statistical Methods to Handle Spatial Uncertainty in Cancer Risk Estimation 5R01CA169043-02
Haneuse, Sebastien
Harvard School Of Public Health
Clustered semi-competing risks analysis in quality of end-of-life care studies 1R01CA181360-01
Hughes, John
University Of Minnesota
Copula Models for Spatial Epidemiology of Cancer 1R03CA179555-01A1
Hur, Chin
Massachusetts General Hospital
Esophageal Adenocarcinoma Policy Model: Trends, Risk Factors and Screening 5R01CA140574-05
Hur, Chin
Massachusetts General Hospital
Controlling Esophageal Cancer in the US.: A Colloraborative Modeling Project 5U01CA152926-05
Inoue, Lurdes Y.T.
University Of Washington
Modeling Breast Cancer Recurrence Using New Statistical Methods for Semi-Markov P 5R01CA160239-03
Johnson, Valen Earl
Texas A&M University
Consistent model selection in the p>>n setting 5R01CA158113-04
Kohler, Betsy A.
North American Assn/Central Cancer Reg
First Combined Conference of the North American Association of Central Cancer Reg 1R13CA186653-01
Kong, Chung
Massachusetts General Hospital
Comparative Modeling of Lung Cancer Control Policies 5U01CA152956-05
Krieger, Nancy
Harvard School Of Public Health
Jim Crow & health disparities: exploring age-period-cohort effects 5R21CA168470-02
Krieger, Nancy
Harvard School Of Public Health
Long-Term Trends in Breast Cancer Tumor Profiles & Disparities 5R21CA166115-02
Kulldorff, Martin
Harvard Pilgrim Health Care, Inc.
SaTScan: Spatial Scan Statistic Surveillance Software II 5R01CA165057-07
Lawson, Andrew B.
Medical University Of South Carolina
Advances in Geospatial Survival Modeling for Small Area Cancer Data 1R03CA176702-01A1
Lawson, Andrew B.
Medical University Of South Carolina
Surveillance of Spatial Case Event Data in Cancer Studies 1R03CA179665-01A1
Lawson, Andrew B.
Medical University Of South Carolina
Uncertainty in spatial health analysis due to missingness and aggregation effects 5R01CA172805-02
Lee, David J.
University Of Miami School Of Medicine
Analysis of Linked NHIS Registry Data 1R03CA186936-01
Lee, Sandra J.
Dana-Farber Cancer Inst
Comparative Assessment of Screening Strategies for Melanoma 1R21CA182241-01A1
Lee, Sandra J.
Dana-Farber Cancer Inst
Analytical Investigation of Breast Cancer Progression: DCIS, Overdiagnosis 5R01CA164301-03
Li, Huilin
New York University School Of Medicine
Secondary Analysis of Longitudinal Trait in Genome Wide Association Studies - Res 5U01CA170948-02
Li, Yan
Univ Of Maryland, College Park
Semiparametric inference for case-control studies with complex sampling 5R03CA171064-02
Lian, Min
Washington University
MODELING SPATIAL ACCESSIBILITY TO LOWER ENDOSCOPY SERVICES IN THE UNITED STATES 5R21CA169807-02
Lin, Danyu
Univ Of North Carolina Chapel Hill
Statistical Methods in Chronic Disease Research 5R01CA082659-15
Lin, Xihong
Harvard School Of Public Health
Statistical Informatics for Cancer Research 5P01CA134294-07
Lin, Xihong
Harvard School Of Public Health
Conferences on Emerging Statistical Issues in Biomedical Research 5R13CA124365-09
Lin, Xihong
Harvard School Of Public Health
Statistical Methods for Correlated and High-Dimensional Biomedical Data 5R37CA076404-18
Lipsitz, Stuart R.
Brigham And Women'S Hospital
Analyzing National Complex Sample Surveys for Epidemiologic Studies of Cancer 5R01CA160679-03
Long, Qi
Emory University
Evaluating Prediction Models for Cancer Endpoints Subject to Dependent Censoring 5R03CA173770-02
Long, Qi
Emory University
Feature Selection for Genomic Data Using Known and Novel Biological Information 1R03CA183006-01
Lu, Wenbin
North Carolina State University Raleigh
Flexible Statistical Methods for Complex Survival Data in Biomedical Studies 5R01CA140632-04
Luebeck, Georg E.
Fred Hutchinson Cancer Research Center
Biomathematical Evaluation of Colon Cancer Screening and Prevention 5R01CA107028-08
Luebeck, Georg E.
Fred Hutchinson Cancer Research Center
Esophageal Cancer from Cells to Population: A Multiscale Approach 5U01CA182940-02
Luo, Xianghua
University Of Minnesota
Statistical Methods for Analyzing Data of Recurrent Infections after Hematopoieti 1R03CA187991-01
Mandelblatt, Jeanne
Georgetown University
Comparative Modeling: Informing Breast Cancer Control Practice & Policy 5U01CA152958-05
Mccarthy, Ellen P.
Beth Israel Deaconess Medical Center
Integrating Competing Risks into the CISNET DFCI Breast Cancer Model 1R21CA180793-01A1
Meza, Rafael
University Of Michigan
From Mechanism to Population: Modeling HPV-related Oropharyngeal Carcinogenesis 1U01CA182915-01A1
Mobley, Lee Rivers
Georgia State University
Geospatial Factors and Impacts II 5R01CA126858-07
Molinaro, Annette M.
University Of California, San Francisco
Novel Tree-based Statistical Methods for Cancer Risk Prediction 5R01CA163687-03
Morgan, Martin
Fred Hutchinson Cancer Research Center
Cancer Genomics:Integrative and Scalable Solutions in R / Bioconductor 1U24CA180996-01A1
Nelson, Kerrie P.
Boston University Medical Campus
Model Agreement in Cancer Diagnostic Tests 1R01CA172463-01A1
Neuhaus, John M.
University Of California, San Francisco
Assessing / Developing Methods for Complex Dependent Data 5R01CA082370-10
Parmigiani, Giovanni LUIGI
Dana-Farber Cancer Inst
Novel Tools for Familial Risk Prediction 5R21CA177233-02
Parmigiani, Giovanni LUIGI
Dana-Farber Cancer Inst
Bioinformatics Tools for Genomic Analysis of Tumor and Stromal Pathways in Cancer 5R01CA174206-02
Prentice, Ross L.
Fred Hutchinson Cancer Research Center
Statistical Methods for Medical Studies 5P01CA053996-37
Qin, Li-Xuan
Sloan-Kettering Inst Can Research
Statistical Methods for Normalizing Microarrays in Cancer Biomarker Studies 5R01CA151947-04
Schwartzman, Armin
North Carolina State University Raleigh
Multiple testing methods for random fields and high-dimensional dependent data 7R01CA157528-03
Sherman, Simon
University Of Nebraska Medical Center
Multi-Center Thyroid Tumor and Cancer Registry 1R03CA175668-01A1
Sinha, Samiran
Texas A&M University
Innovative approaches for analyzing SEER breast cancer data 5R03CA176760-02
Sun, Jianguo Tony
University Of Missouri-Columbia
Treatment Comparison and Estimation of Relative Risks with Failure Time Data 5R01CA152035-04
Taylor, Jeremy Mg
University Of Michigan
Statistical Methods for Cancer Biomarkers 5R01CA129102-06
Uno, Hajime
Dana-Farber Cancer Inst
Statistical analysis methods for validating risk prediction models 1R21CA185704-01
Wakefield, Jonathan C.
University Of Washington
SPATIO-TEMPORAL EPIDEMIOLOGY: METHODS AND APPLICATIONS 2R01CA095994-05A1
Wang, Naisyin
University Of Michigan
Measurement Error, Missing Data and Semiparametrics 5R01CA074552-17
Wang, Wenyi
University Of Tx Md Anderson Can Ctr
Statistical methods for genomic analysis of heterogeneous tumors 1R01CA183793-01A1
Whittemore, Alice
Stanford University
Statistical Methods for Genetic Epidemiology 5R01CA094069-12
Whittemore, Alice
Stanford University
Bootstrap-based testing of rare sequence variants using family data 5R01CA179011-02
Wu, Felicia
Michigan State University
The Effect of Aflatoxin Regulation on Global Liver Cancer Risks 7R01CA153073-05
Xierali, Imam
Association Of American Medical Colleges
Reducing Physician Distribution Uncertainty in Spatial Accessibility Research 1R21CA182874-01
Zauber, Ann Graham
Sloan-Kettering Inst Can Research
Modeling Effective Health Policies for Colorectal Cancer 5U01CA152959-05
Zhang, Jiajia
University Of South Carolina At Columbia
Innovative Spatial Survival Models with Geographically Varying Coefficients 7R03CA165110-02
Zhang, Jiajia
University Of South Carolina At Columbia
Innovative Spatio-temporal Survival Models Allowing Crossing Survival 1R03CA176739-01A1
Zhu, Liang
St. Jude Children'S Research Hospital
Statistical Analysis for Mixed Recurrent-Event and Panel-Count Data 5R03CA169150-02

** Includes all publications listed in PubMed authored by the Principal Investigator and supported by the specified grant. Please note that not all grants have publications listed in PubMed, and the listing of publications in PubMed may not be complete.

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