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Grant Details

Grant Number: 5R01CA095955-07 Interpret this number
Primary Investigator: Carlin, Bradley
Organization: University Of Minnesota
Project Title: Statistical Methods in Cancer Control and Epidemiology
Fiscal Year: 2010


Abstract

DESCRIPTION (provided by applicant): Project Summary Sophisticated computer programs known as geographic information systems (GISs) have revolutionized the analysis of spatially referenced datasets, through their ability to ``layer'' multiple data sources over a common study area. However, methods for statistical inference on these complex datasets are only now beginning to develop. In this proposal we develop statistical methodology in five specific aim areas related to cancer control and epidemiology. First, we develop hierarchical predictive process approaches to easing the problems associated with the need to repeatedly invert large matrices in fitting geostatistical models to large datasets. Second, we propose new methods for handling multivariate marked point processes, as would be required for a spatial point pattern where the points are marked by the type of cancer or perhaps treatment selection of each individual. Third, we consider semiparametric hierarchical models for cancer survival data using mixtures of Polya trees. Fourth, we consider the analysis of continuous-time spatiotemporal data arising from longitudinal experiments designed to estimate functional relationships. Fifth, describe a suite of R packages that help integrate necessary georeferenced database and display components with hierarchical modeling capability, thus bringing the hierarchical spatial analysis we propose to a far broader potential audience than is currently possible. We provide several cancer-related examples to illustrate the methods we propose. PUBLIC HEALTH RELEVANCE: The relevance of this work to public health lies in its ability to improve the understanding and decision-making abilities of state-based professionals engaged in planning for comprehensive cancer control programs. Our focus is squarely on real problems in cancer research, including determining whether women with breast cancer who live further from radiation treatment facilities are significantly more likely to opt for mastectomy over breast conserving surgery (``lumpectomy"), and investigating the change in estimated UV exposure levels over time by geographic region, and whether these levels are associated with higher rates of skin cancer.



Publications

Semiparametric Bayesian latent variable regression for skewed multivariate data.
Authors: Bhingare A. , Sinha D. , Pati D. , Bandyopadhyay D. , Lipsitz S.R. .
Source: Biometrics, 2019 06; 75(2), p. 528-538.
EPub date: 2019-03-29 00:00:00.0.
PMID: 30365158
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Discussion of 'small-sample behavior of novel phase I cancer trial designs' by Assaf P Oron and Peter D Hoff.
Authors: Carlin B.P. , Zhong W. , Koopmeiners J.S. .
Source: Clinical Trials (london, England), 2013 Feb; 10(1), p. 81-5; discussion 88-92.
PMID: 23345305
Related Citations

A trivariate continual reassessment method for phase I/II trials of toxicity, efficacy, and surrogate efficacy.
Authors: Zhong W. , Koopmeiners J.S. , Carlin B.P. .
Source: Statistics In Medicine, 2012-12-20 00:00:00.0; 31(29), p. 3885-95.
EPub date: 2012-12-20 00:00:00.0.
PMID: 22807126
Related Citations

Commensurate Priors for Incorporating Historical Information in Clinical Trials Using General and Generalized Linear Models.
Authors: Hobbs B.P. , Sargent D.J. , Carlin B.P. .
Source: Bayesian Analysis, 2012-08-28 00:00:00.0; 7(3), p. 639-674.
PMID: 24795786
Related Citations

Bayesian adaptive trial design for a newly validated surrogate endpoint.
Authors: Renfro L.A. , Carlin B.P. , Sargent D.J. .
Source: Biometrics, 2012 Mar; 68(1), p. 258-67.
PMID: 21838811
Related Citations

Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials.
Authors: Hobbs B.P. , Carlin B.P. , Mandrekar S.J. , Sargent D.J. .
Source: Biometrics, 2011 Sep; 67(3), p. 1047-56.
PMID: 21361892
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Multilevel empirical bayes modeling for improved estimation of toxicant formulations to suppress parasitic sea lamprey in the upper great lakes.
Authors: Hatfield L.A. , Gutreuter S. , Boogaard M.A. , Carlin B.P. .
Source: Biometrics, 2011 Sep; 67(3), p. 1153-62.
PMID: 21361894
Related Citations

Joint modeling of multiple longitudinal patient-reported outcomes and survival.
Authors: Hatfield L.A. , Boye M.E. , Carlin B.P. .
Source: Journal Of Biopharmaceutical Statistics, 2011 Sep; 21(5), p. 971-91.
PMID: 21830926
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Mining Boundary Effects in Areally Referenced Spatial Data Using the Bayesian Information Criterion.
Authors: Li P. , Banerjee S. , McBean A.M. .
Source: Geoinformatica, 2011 Jul; 15(3), p. 435-454.
PMID: 21643463
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Spatially dependent polya tree modeling for survival data.
Authors: Zhao L. , Hanson T.E. .
Source: Biometrics, 2011 Jun; 67(2), p. 391-403.
PMID: 20731644
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Turning the Bayesian crank.
Authors: MacLehose R.F. , Oakes J.M. , Carlin B.P. .
Source: Epidemiology (cambridge, Mass.), 2011 May; 22(3), p. 365-7.
PMID: 21464652
Related Citations

DPpackage: Bayesian Non- and Semi-parametric Modelling in R.
Authors: Jara A. , Hanson T.E. , Quintana F.A. , Müller P. , Rosner G.L. .
Source: Journal Of Statistical Software, 2011-04-01 00:00:00.0; 40(5), p. 1-30.
PMID: 21796263
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The Polya Tree Sampler: Towards Efficient and Automatic Independent Metropolis-Hastings Proposals.
Authors: Hanson T.E. , Monteiro J.V. , Jara A. .
Source: Journal Of Computational And Graphical Statistics : A Joint Publication Of American Statistical Association, Institute Of Mathematical Statistics, Interface Foundation Of North America, 2011-03-01 00:00:00.0; 20(1), p. 41-62.
PMID: 22135487
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Analysis of cure rate survival data under proportional odds model.
Authors: Gu Y. , Sinha D. , Banerjee S. .
Source: Lifetime Data Analysis, 2011 Jan; 17(1), p. 123-34.
PMID: 20521166
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A Bayesian Semiparametric Temporally-Stratified Proportional Hazards Model with Spatial Frailties.
Authors: Hanson T.E. , Jara A. , Zhao L. .
Source: Bayesian Analysis, 2011; 6(4), p. 1-48.
PMID: 22247752
Related Citations

A Semiparametric Bayesian Approach to Multivariate Longitudinal Data.
Authors: Ghosh P. , Hanson T. .
Source: Australian & New Zealand Journal Of Statistics, 2010 Sep; 52(3), p. 275-288.
PMID: 21731424
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Hierarchical and joint site-edge methods for medicare hospice service region boundary analysis.
Authors: Ma H. , Carlin B.P. , Banerjee S. .
Source: Biometrics, 2010 Jun; 66(2), p. 355-64.
PMID: 19645704
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Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials.
Authors: Banerjee S. , Finley A.O. , Waldmann P. , Ericsson T. .
Source: Journal Of The American Statistical Association, 2010-06-01 00:00:00.0; 105(490), p. 506-521.
PMID: 20676229
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Partitioning degrees of freedom in hierarchical and other richly-parameterized models.
Authors: Cui Y. , Hodges J.S. , Kong X. , Carlin B.P. .
Source: Technometrics : A Journal Of Statistics For The Physical, Chemical, And Engineering Sciences, 2010-02-01 00:00:00.0; 52(1), p. 124-136.
PMID: 20559456
Related Citations

Disease mapping.
Authors: Waller L.A. , Carlin B.P. .
Source: Chapman & Hall/crc Handbooks Of Modern Statistical Methods, 2010; 2010, p. 217-243.
PMID: 25285319
Related Citations

Bayesian wombling for spatial point processes.
Authors: Liang S. , Banerjee S. , Carlin B.P. .
Source: Biometrics, 2009 Dec; 65(4), p. 1243-53.
PMID: 19302408
Related Citations

HIERARCHICAL SPATIAL MODELS FOR PREDICTING TREE SPECIES ASSEMBLAGES ACROSS LARGE DOMAINS.
Authors: Finley A.O. , Banerjee S. , McRoberts R.E. .
Source: The Annals Of Applied Statistics, 2009-09-01 00:00:00.0; 3(3), p. 1052-1079.
PMID: 20352037
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Improving the performance of predictive process modeling for large datasets.
Authors: Finley A.O. , Sang H. , Banerjee S. , Gelfand A.E. .
Source: Computational Statistics & Data Analysis, 2009-06-15 00:00:00.0; 53(8), p. 2873-2884.
PMID: 20016667
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Spatiotemporal and Spatial Threshold Models for Relating UV Exposures and Skin Cancer in the Central United States.
Authors: Hatfield L.A. , Hoffbeck R.W. , Alexander B.H. , Carlin B.P. .
Source: Computational Statistics & Data Analysis, 2009-06-15 00:00:00.0; 53(8), p. 3001-3015.
PMID: 20161236
Related Citations

Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets.
Authors: Finley A.O. , Banerjee S. , Waldmann P. , Ericsson T. .
Source: Biometrics, 2009 Jun; 65(2), p. 441-51.
PMID: 18759829
Related Citations

Mixtures of Polya trees for flexible spatial frailty survival modelling.
Authors: Zhao L. , Hanson T.E. , Carlin B.P. .
Source: Biometrika, 2009-06-01 00:00:00.0; 96(2), p. 263-276.
PMID: 19779579
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Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: An application to AIDS data.
Authors: Lipsitz S.R. , Fitzmaurice G.M. , Ibrahim J.G. , Sinha D. , Parzen M. , Lipshultz S. .
Source: Journal Of The Royal Statistical Society. Series A, (statistics In Society), 2009 Jan; 172(1), p. 3-20.
PMID: 20585409
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SMOOTHED ANOVA WITH SPATIAL EFFECTS AS A COMPETITOR TO MCAR IN MULTIVARIATE SPATIAL SMOOTHING.
Authors: Zhang Y. , Hodges J.S. , Banerjee S. .
Source: The Annals Of Applied Statistics, 2009; 3(4), p. 1805-1830.
PMID: 20596299
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ANALYSIS OF MINNESOTA COLON AND RECTUM CANCER POINT PATTERNS WITH SPATIAL AND NONSPATIAL COVARIATE INFORMATION.
Authors: Liang S. , Carlin B.P. , Gelfand A.E. .
Source: The Annals Of Applied Statistics, 2008-10-08 00:00:00.0; 3(3), p. 943-962.
PMID: 20414368
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Gaussian predictive process models for large spatial data sets.
Authors: Banerjee S. , Gelfand A.E. , Finley A.O. , Sang H. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2008-09-01 00:00:00.0; 70(4), p. 825-848.
PMID: 19750209
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Hierarchical Multiresolution Approaches for Dense Point-Level Breast Cancer Treatment Data.
Authors: Liang S. , Banerjee S. , Bushhouse S. , Finley A. , Carlin B.P. .
Source: Computational Statistics & Data Analysis, 2008-01-20 00:00:00.0; 52(5), p. 2650-2668.
PMID: 19158942
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Practical Bayesian design and analysis for drug and device clinical trials.
Authors: Hobbs B.P. , Carlin B.P. .
Source: Journal Of Biopharmaceutical Statistics, 2008; 18(1), p. 54-80.
PMID: 18161542
Related Citations

Order-free co-regionalized areal data models with application to multiple-disease mapping.
Authors: Jin X. , Banerjee S. , Carlin B.P. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2007-11-01 00:00:00.0; 69(5), p. 817-838.
PMID: 20981244
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Flexible Cure Rate Modeling Under Latent Activation Schemes.
Authors: Cooner F. , Banerjee S. , Carlin B.P. , Sinha D. .
Source: Journal Of The American Statistical Association, 2007-06-01 00:00:00.0; 102(478), p. 560-572.
PMID: 21031152
Related Citations

spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models.
Authors: Finley A.O. , Banerjee S. , Carlin B.P. .
Source: Journal Of Statistical Software, 2007 Apr; 19(4), p. 1-24.
PMID: 21494410
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Generalized hierarchical multivariate CAR models for areal data.
Authors: Jin X. , Carlin B.P. , Banerjee S. .
Source: Biometrics, 2005 Dec; 61(4), p. 950-61.
PMID: 16401268
Related Citations

Parametric spatial cure rate models for interval-censored time-to-relapse data.
Authors: Banerjee S. , Carlin B.P. .
Source: Biometrics, 2004 Mar; 60(1), p. 268-75.
PMID: 15032798
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