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Etiology/Epidemiologic Studies

Grants 1 to 30 of 30

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PI Name
Organization Name		 Project Title
(click for Abstract)		 Grant Number
(click for Publications)**
Banerjee, Sudipto
UNIVERSITY OF MINNESOTA TWIN CITIES 		HIERACHIAL MODELING APPROACHES FOR GEOGRAPHICAL BOUNDARY ANALYSIS IN CANCER STUDI 5R01CA112444-03
Carlin, Bradley P.
UNIVERSITY OF MINNESOTA TWIN CITIES 		STATISTICAL METHODS IN CANCER CONTROL AND EPIDEMIOLOGY 2R01CA095955-05A2
Chen, Hua Yun
UNIVERSITY OF ILLINOIS AT CHICAGO 		NOVEL STATISTICAL METHODS FOR DATA WITH MISSING VALUES 5R01CA106355-03
Daniels, Michael J.
UNIVERSITY OF FLORIDA 		BAYESIAN METHODS FOR LONGITUDINAL CANCER DATA 5R01CA085295-08
Edwards, Don
UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA 		MODELING INTER-RATER AGREEMENT USING MIXED MODELS 5R03CA114783-02
Guo, Wensheng
UNIVERSITY OF PENNSYLVANIA 		NEW FUNCTIONAL MODELS FOR BIOMEDICAL DATA 5R01CA084438-07
Haneuse, Sebastien
CENTER FOR HEALTH STUDIES 		DESIGN AND INFERENCE FOR HYBRID ECOLOGICAL STUDIES 5R01CA125081-02
Heitjan, Daniel F.
UNIVERSITY OF PENNSYLVANIA 		STATISTICAL METHODS IN SMOKING CESSATION RESEARCH 5R01CA116723-02
Hossain, Md Monir
UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA 		EVALUATION AND DEVELOPMENT OF CANCER CLUSTER DIAGNOSTICS 5R03CA125828-02
Klein, John P.
MEDICAL COLLEGE OF WISCONSIN 		TECHNIQUES FOR MODELING COMPLEX LONGITIDINAL STUDIES 5R01CA054706-14
Kosorok, Michael R.
UNIVERSITY OF NORTH CAROLINA CHAPEL HILL 		SEMIPARAMETRIC AND EMPIRICAL PROCESS METHODS IN ONCOLOGY 5R01CA075142-11
Kuntz, Karen M.
UNIVERSITY OF MINNESOTA TWIN CITIES 		A POPULATION BASED POLICY MODEL FOR COLORECTAL CANCER 5U01CA088204-08
Li, Yi
DANA-FARBER CANCER INSTITUTE 		COMMUNITY-BASED STUDIES IN CANCER AND ENVIRONMENT 2R01CA095747-05A2
Lin, Danyu
UNIVERSITY OF NORTH CAROLINA CHAPEL HILL 		SEMIPARAMETRIC REGRESSION ANALYSIS OF CENSORED DATA 5R37GM047845-18
Lin, Danyu
UNIVERSITY OF NORTH CAROLINA CHAPEL HILL 		STATISTICAL METHODS IN CANCER RESEARCH 2R01CA082659-10
Lin, Xihong
HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) 		CONFERENCES ON EMERGING STATISTICAL ISSUES IN BIOMEDICAL RESEARCH 5R13CA124365-03
Lin, Xihong
HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) 		STATISTICAL METHODS FOR CORRELATED AND HIGH-DIMENSIONAL BIOMEDICAL DATA 5R37CA076404-12
Luebeck, E. Georg
FRED HUTCHINSON CANCER RESEARCH CENTER 		MODELING COLON CANCER, INTERVENTION AND PREVENTION 5R01CA107028-04
Maceachren, Alan
PENNSYLVANIA STATE UNIVERSITY-UNIV PARK 		GEOVISUALIZATION AND SPATIAL ANALYSIS OF CANCER DATA 5R01CA095949-05
Mobley, Lee Rivers
RESEARCH TRIANGLE INSTITUTE 		GEOSPATIAL FACTORS & IMPACTS: MEASUREMENT AND USE 5R01CA126858-02
Mukherjee, Bhramar
UNIVERSITY OF MICHIGAN AT ANN ARBOR 		SYNERGISM OF GENE AND ENVIRONMENT IN CANCER STUDIES: A NEW BAYESIAN APPROACH 5R03CA130045-02
Neuhaus, John M.
UNIVERSITY OF CALIFORNIA SAN FRANCISCO 		ASSESSING / DEVELOPING METHODS FOR COMPLEX DEPENDENT DATA 5R01CA082370-06
Pepe, Margaret S.
FRED HUTCHINSON CANCER RESEARCH CENTER 		STATISTICAL METHODS FOR MEDICAL TESTS AND BIOMARKERS 5R01GM054438-12
Prentice, Ross L.
FRED HUTCHINSON CANCER RESEARCH CENTER 		STATISTICAL METHODS FOR MEDICAL STUDIES 5P01CA053996-31
Qaqish, Bahjat F.
UNIVERSITY OF NORTH CAROLINA CHAPEL HILL 		ESTIMATION OF ASSOCIATION FOR MULTIVARIATE BINARY DATA 5R01CA101901-03
Thompson, James A.
TEXAS AGRILIFE RESEARCH 		THE JOINT RISKS OF HAZADOUS AIR POLLULANTS AMONG CHILDHOOD CANCER HISTOTYPES 5R03CA119696-02
Turnbull, Bruce W.
CORNELL UNIVERSITY ITHACA 		STATISTICAL METHODS FOR CANCER RESEARCH 5R01CA066218-28
Wang, Naisyin
TEXAS A&M UNIVERSITY SYSTEM 		MEASUREMENT ERROR, MISSING DATA AND SEMIPARAMETRICS 5R01CA074552-11
Wang, Xiaofei F.
DUKE UNIVERSITY 		SEMIPARAMETRIC ROC CURVE REGRESSION FOR CANCER SCREENING STUDIES 5R03CA131596-02
Zhou, Haibo
UNIVERSITY OF NORTH CAROLINA CHAPEL HILL 		STATISTICAL METHODS FOR OUTCOME-DEPENDENT SAMPLING 2R01CA079949-07A1

** 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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