|Grant Number:||5R01CA042949-19 Interpret this number|
|Primary Investigator:||Langholz, Bryan|
|Organization:||University Of Southern California|
|Project Title:||Time Related Factors in Cancer Epidemiology|
DESCRIPTION (provided by applicant): The long-term goals of this grant are to develop study designs and methods of statistical analysis for epidemiologic research of cancer and other chronic diseases. In this proposal, we focus on case-control studies in three broad aims: The first is to develop case-control design and analysis solutions to a number of important problems we have identified based on our applied work on "standard"' and counter matched case-control studies. These include appropriate analysis of case-control studies with random digit dial controls, Mantel-Haenszel and polytomous logistic regression estimators for studies with complex control selection, development of new population based case-control study designs that use inexpensive correlate exposure information to improve cost-efficiency, and analysis of case-control studies with missing covariate data. The second is to develop efficiency bound methods appropriate to case-control study designs as well as investigate estimation methods that make use of cohort or external information to improve case-control study efficiency. These results will clarify when auxiliary at-risk and covariate information can be used to improve efficiency in analysis of nested case-control studies and provide methods that exploit this information. The third aim is outreach to investigators interested in the methods including maintaining software and data examples on our website and limited consultation. The impact of these projects is to expand the design and analysis "tools"' available to epidemiologic research in a way that will improve validity and cost-efficiency.
A semiparametric missing-data-induced intensity method for missing covariate data in individually matched case-control studies.
Authors: Gebregziabher M, Langholz B
Source: Biometrics, 2010 Sep;66(3), p. 845-54.
Oral contraceptives and postmenopausal hormones and risk of contralateral breast cancer among BRCA1 and BRCA2 mutation carriers and noncarriers: the WECARE Study.
Authors: Figueiredo JC, Haile RW, Bernstein L, Malone KE, Largent J, Langholz B, Lynch CF, Bertelsen L, Capanu M, Concannon P, Borg A, Børresen-Dale AL, Diep A, Teraoka S, Torngren T, Xue S, Bernstein JL
Source: Breast Cancer Res Treat, 2010 Feb;120(1), p. 175-83.
EPub date: 2009 Jul 14.
Statistical methods for analysis of radiation effects with tumor and dose location-specific information with application to the WECARE study of asynchronous contralateral breast cancer.
Authors: Langholz B, Thomas DC, Stovall M, Smith SA, Boice JD Jr, Shore RE, Bernstein L, Lynch CF, Zhang X, Bernstein JL
Source: Biometrics, 2009 Jun;65(2), p. 599-608.
EPub date: 2008 Jul 18.
Using tensor product splines in modeling exposure-time-response relationships: application to the Colorado Plateau Uranium Miners cohort.
Authors: Berhane K, Hauptmann M, Langholz B
Source: Stat Med, 2008 Nov 20;27(26), p. 5484-96.
Dose to the contralateral breast from radiotherapy and risk of second primary breast cancer in the WECARE study.
Authors: Stovall M, Smith SA, Langholz BM, Boice JD Jr, Shore RE, Andersson M, Buchholz TA, Capanu M, Bernstein L, Lynch CF, Malone KE, Anton-Culver H, Haile RW, Rosenstein BS, Reiner AS, Thomas DC, Bernstein JL, Women's Environmental, Cancer, and Radiation Epidemiology Study Collaborative Group
Source: Int J Radiat Oncol Biol Phys, 2008 Nov 15;72(4), p. 1021-30.
EPub date: 2008 Jun 14.
Oral contraceptives, postmenopausal hormones, and risk of asynchronous bilateral breast cancer: the WECARE Study Group.
Authors: Figueiredo JC, Bernstein L, Capanu M, Malone KE, Lynch CF, Anton-Culver H, Stovall M, Bertelsen L, Haile RW, Bernstein JL, WECARE Study Group
Source: J Clin Oncol, 2008 Mar 20;26(9), p. 1411-8.
EPub date: 2008 Feb 4.
Study design: evaluating gene-environment interactions in the etiology of breast cancer - the WECARE study.
Authors: Bernstein JL, Langholz B, Haile RW, Bernstein L, Thomas DC, Stovall M, Malone KE, Lynch CF, Olsen JH, Anton-Culver H, Shore RE, Boice JD Jr, Berkowitz GS, Gatti RA, Teitelbaum SL, Smith SA, Rosenstein BS, Børresen-Dale AL, Concannon P, Thompson WD, WECARE study
Source: Breast Cancer Res, 2004;6(3), p. R199-214.
EPub date: 2004 Mar 9.
Selecting controls for assessing interaction in nested case-control studies.
Authors: Cologne J, Langholz B
Source: J Epidemiol, 2003 Jul;13(4), p. 193-202.
Stratified case sampling and the use of family controls.
Authors: Siegmund KD, Langholz B
Source: Genet Epidemiol, 2001 Apr;20(3), p. 316-27.
Testing linkage disequilibrium in sibships.
Authors: Siegmund KD, Langholz B, Kraft P, Thomas DC
Source: Am J Hum Genet, 2000 Jul;67(1), p. 244-8.
EPub date: 2000 May 30.
Exposure stratified case-cohort designs.
Authors: Borgan O, Langholz B, Samuelsen SO, Goldstein L, Pogoda J
Source: Lifetime Data Anal, 2000 Mar;6(1), p. 39-58.
Application of the missing-indicator method in matched case-control studies with incomplete data.
Authors: Huberman M, Langholz B
Source: Am J Epidemiol, 1999 Dec 15;150(12), p. 1340-5.
New techniques for the analysis of cohort studies.
Authors: Thomas D
Source: Epidemiol Rev, 1998;20(1), p. 122-34.
Estimation of absolute risk from nested case-control data.
Authors: Langholz B, Borgan O
Source: Biometrics, 1997 Jun;53(2), p. 767-74.
Estimation of excess risk from case-control data using Aalen's linear regression model.
Authors: Borgan O, Langholz B
Source: Biometrics, 1997 Jun;53(2), p. 690-7.
Fitting genetic data using Gibbs sampling: an application to nevus counts in 38 Utah kindreds.
Authors: Thomas DC
Source: Cytogenet Cell Genet, 1992;59(2-3), p. 228-30.
A Gibbs sampling approach to linkage analysis.
Authors: Thomas DC, Cortessis V
Source: Hum Hered, 1992;42(1), p. 63-76.
Efficiency of cohort sampling designs: some surprising results.
Authors: Langholz B, Thomas DC
Source: Biometrics, 1991 Dec;47(4), p. 1563-71.
Survival models for familial aggregation of cancer.
Authors: Mack W, Langholz B, Thomas DC
Source: Environ Health Perspect, 1990 Jul;87, p. 27-35.
Nested case-control and case-cohort methods of sampling from a cohort: a critical comparison.
Authors: Langholz B, Thomas DC
Source: Am J Epidemiol, 1990 Jan;131(1), p. 169-76.
Bivariate survival models for analysis of genetic and environmental effects in twins.
Authors: Thomas DC, Langholz B, Mack W, Floderus B
Source: Genet Epidemiol, 1990;7(2), p. 121-35.