Grant Number:	5U01CA097414-02 Interpret this number
Primary Investigator:	Tsodikov, Alexander
Organization:	University Of Utah
Project Title:	Survival Effects of Prostate Cancer Surveillance
Fiscal Year:	2003

DESCRIPTION (provided by applicant) The primary objective of this project is to develop an integrated statistical approach to modeling, estimation and prediction of the therapeutic benefit and population impact of prostate cancer surveillance. The approach we propose allows us to estimate contributions of different effects ofsurveillance on diagnosis and survival of patients with prostate cancer and population processes. These effects are the curative effect of surveillance, lead time effect and over-diagnosis. We will evaluate the effect of heterogeneity and associated over-optimistic selection bias on the observedprostate cancer incidence and mortality. Quantitative interpretation for the observed incidence and mortality trends in prostate cancer will be provided. Predictions of the impact of intensifiedsurveillance and changes in population heterogeneity on prostate cancer incidence, mortality, andthe time natural history of the disease will be made. The approach will be applied to data onprostate cancer from the Utah Population Database, the Utah Cancer Registry, public data from theSEER program, and clinical data from the Memorial Sloan Kettering Cancer Center. Simulations using mechanistic models of prostate cancer and screening will be used to validate our models.




A Self-consistency Approach to Multinomial Logit Model with Random Effects.
Authors: Wang S. , Tsodikov A. .
Source: Journal Of Statistical Planning And Inference, 2010-07-01 00:00:00.0; 140(7), p. 1939-1947.
PMID: 20383288
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Effects of a high dose, aglycone-rich soy extract on prostate-specific antigen and serum isoflavone concentrations in men with localized prostate cancer.
Authors: deVere White R.W. , Tsodikov A. , Stapp E.C. , Soares S.E. , Fujii H. , Hackman R.M. .
Source: Nutrition And Cancer, 2010; 62(8), p. 1036-43.
PMID: 21058191
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Stage-specific cancer incidence: an artificially mixed multinomial logit model.
Authors: Chefo S. , Tsodikov A. .
Source: Statistics In Medicine, 2009-07-10 00:00:00.0; 28(15), p. 2054-76.
PMID: 19452568
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Lead Time And Overdiagnosis In Prostate-specific Antigen Screening: Importance Of Methods And Context
Authors: Draisma G. , Etzioni R. , Tsodikov A. , Mariotto A. , Wever E. , Gulati R. , Feuer E. , de Koning H. .
Source: Journal Of The National Cancer Institute, 2009-03-18 00:00:00.0; 101(6), p. 374-83.
PMID: 19276453
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Dr. Andrei Yakovlev: visionary, leader, iconoclast.
Authors: Gusev Y. , Hanin L. , Klebanov L. , Tsodikov A. , Yanev N.M. , Zorin A. .
Source: Biology Direct, 2008-03-26 00:00:00.0; 3, p. 10.
EPub date: 2008-03-26 00:00:00.0.
PMID: 18366793
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Quantifying the role of PSA screening in the US prostate cancer mortality decline.
Authors: Etzioni R. , Tsodikov A. , Mariotto A. , Szabo A. , Falcon S. , Wegelin J. , DiTommaso D. , Karnofski K. , Gulati R. , Penson D.F. , et al. .
Source: Cancer Causes & Control : Ccc, 2008 Mar; 19(2), p. 175-81.
PMID: 18027095
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A first-generation multiplex biomarker analysis of urine for the early detection of prostate cancer.
Authors: Laxman B. , Morris D.S. , Yu J. , Siddiqui J. , Cao J. , Mehra R. , Lonigro R.J. , Tsodikov A. , Wei J.T. , Tomlins S.A. , et al. .
Source: Cancer Research, 2008-02-01 00:00:00.0; 68(3), p. 645-9.
PMID: 18245462
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Generalized Self-Consistency: Multinomial logit model and Poisson likelihood.
Authors: Tsodikov A. , Chefo S. .
Source: Journal Of Statistical Planning And Inference, 2008; 138(8), p. 23802397.
PMID: 18709183
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Profile information matrix for nonlinear transformation models.
Authors: Tsodikov A. , Garibotti G. .
Source: Lifetime Data Analysis, 2007 Mar; 13(1), p. 139-59.
PMID: 17021958
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A population model of prostate cancer incidence.
Authors: Tsodikov A. , Szabo A. , Wegelin J. .
Source: Statistics In Medicine, 2006-08-30 00:00:00.0; 25(16), p. 2846-66.
PMID: 16397859
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Two-sample statistics for testing the equality of survival functions against improper semi-parametric accelerated failure time alternatives: an application to the analysis of a breast cancer clinical trial.
Authors: Broët P. , Tsodikov A. , De Rycke Y. , Moreau T. .
Source: Lifetime Data Analysis, 2004 Jun; 10(2), p. 103-20.
PMID: 15293627
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Estimating Cure Rates From Survival Data: An Alternative to Two-Component Mixture Models.
Authors: Tsodikov A.D. , Ibrahim J.G. , Yakovlev A.Y. .
Source: Journal Of The American Statistical Association, 2003-12-01 00:00:00.0; 98(464), p. 1063-1078.
PMID: 21151838
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Semiparametric models: a generalized self-consistency approach.
Authors: Tsodikov A. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2003-08-01 00:00:00.0; 65(3), p. 759-774.
PMID: 21127741
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