Grant Number:	5R01CA074302-05 Interpret this number
Primary Investigator:	Finkelstein, Dianne
Organization:	Massachusetts General Hospital
Project Title:	Statistical Methods for Research in Cancer and AIDS
Fiscal Year:	2001

DESCRIPTION (Adapted from the Applicant's Abstract): In studies of cancer and AIDS, patients are monitored for clinical events and laboratory markers that are known to be associated with declining health and an increased risk of death. Understanding the pattern of disease progression is important for the clinical management of individual patients, as well as for the design and analysis of clinical trials for new therapies. The statistical analysis of disease progression is complicated by the fact that patients miss visits, resulting in incomplete information either on when an event occurred (interval censored data) or on the value of a clinical or laboratory measurement at some points in time. This issue is made more complex in the context of a study of a fatal disease, where it is important to appropriately handle mortality. This proposal is aimed at determining a useful approach to analyzing multiple outcomes of progression from a study with missing, truncated, and censored data. For this, we have four aims. 1.) We will develop methods for the analysis of multivariate failure time data, where the failures are subject to interval censoring. 2.) We will develop a method for the analysis of the failure time data from a cancer genetics study, where the participants are subject to truncation because the genetic test became available only recently (1996). 3.) We will develop a method for the analysis of screening data, for which the chance of being screened is dependent on the event (failure) of interest (informative censoring). 4.) We will develop methods of estimating the effect of longitudinal changes in a marker of progression on the hazard of a subsequent event indicating progression. These methods will be applied to data from clinical trials and observational studies in cancer (conducted at the MGH Cancer Center), in AIDS (conducted by the NIH sponsored AIDS Clinical Trials Group), and in cancer genetics (conducted by the NIH sponsored Cancer Genetics Network).




A Test For The Relationship Between A Time-varying Marker And Both Recovery And Progression With Missing Data
Authors: Schoenfeld,D.A. , Rajicic,N. , Ficociello,L.H. , Finkelstein,D.M. .
Source: Statistics In Medicine, 2011-03-30 00:00:00.0; 30(7), p. 718-24.
PMID: 21394748
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A Score Test For Association Of A Longitudinal Marker And An Event With Missing Data
Authors: Finkelstein,D.M. , Wang,R. , Ficociello,L.H. , Schoenfeld,D.A. .
Source: Biometrics, 2010 Sep; 66(3), p. 726-32.
PMID: 19754923
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Analysis Of The Relationship Between Longitudinal Gene Expressions And Ordered Categorical Event Data
Authors: Rajicic N. , Finkelstein D.M. , Schoenfeld D.A. , Inflammation and Host Response to Injury Research Program Investigators .
Source: Statistics In Medicine, 2009-09-30 00:00:00.0; 28(22), p. 2817-32.
PMID: 19618375
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Bayesian Design Using Adult Data To Augment Pediatric Trials
Authors: Schoenfeld D.A. , Hui Zheng null , Finkelstein D.M. .
Source: Clinical Trials (london, England), 2009 Aug; 6(4), p. 297-304.
PMID: 19667026
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Analysis Of Familial Aggregation Studies With Complex Ascertainment Schemes
Authors: Matthews A.G. , Finkelstein D.M. , Betensky R.A. .
Source: Statistics In Medicine, 2008-10-30 00:00:00.0; 27(24), p. 5076-92.
PMID: 18618413
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Design considerations in a sib-pair study of linkage for susceptibility loci in cancer.
Authors: Kerber R.A. , Amos C.I. , Yeap B.Y. , Finkelstein D.M. , Thomas D.C. .
Source: Bmc Medical Genetics, 2008-07-10 00:00:00.0; 9, p. 64.
EPub date: 2008-07-10 00:00:00.0.
PMID: 18616822
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Multivariate Logistic Regression For Familial Aggregation In Age At Disease Onset
Authors: Matthews A.G. , Finkelstein D.M. , Betensky R.A. .
Source: Lifetime Data Analysis, 2007 Jun; 13(2), p. 191-209.
PMID: 17410428
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Regression Analysis Of Failure Time Data With Informative Interval Censoring
Authors: Zhang Z. , Sun L. , Sun J. , Finkelstein D.M. .
Source: Statistics In Medicine, 2007-05-30 00:00:00.0; 26(12), p. 2533-46.
PMID: 17072823
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Survival Methods
Authors: Rao,S.R. , Schoenfeld,D.A. .
Source: Circulation, 2007-01-02 00:00:00.0; 115(1), p. 109-13.
PMID: 17200454
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Analysis Of Co-aggregation Of Cancer Based On Registry Data
Authors: Matthews,A.G. , Betensky,R.A. , Anton-Culver,H. , Bowen,D. , Griffin,C. , Isaacs,C. , Kasten,C. , Mineau,G. , Nayfield,S. , Schildkraut,J. , et al. .
Source: Community Genetics, 2006; 9(2), p. 87-92.
PMID: 16612058
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An Estimator For Treatment Comparisons Among Survivors In Randomized Trials
Authors: Hayden,D. , Pauler,D.K. , Schoenfeld,D. .
Source: Biometrics, 2005 Mar; 61(1), p. 305-10.
PMID: 15737107
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Modelling The Relationship Between Continuous Covariates And Clinical Events Using Isotonic Regression
Authors: Ancukiewicz,M. , Finkelstein,D.M. , Schoenfeld,D.A. .
Source: Statistics In Medicine, 2003-10-30 00:00:00.0; 22(20), p. 3151-9.
PMID: 14518020
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Comparing Survival Of A Sample To That Of A Standard Population
Authors: Finkelstein D.M. , Muzikansky A. , Schoenfeld D.A. .
Source: Journal Of The National Cancer Institute, 2003-10-01 00:00:00.0; 95(19), p. 1434-9.
PMID: 14519749
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Predicting Time To Prostate Cancer Recurrence Based On Joint Models For Non-linear Longitudinal Biomarkers And Event Time Outcomes
Authors: Pauler D.K. , Finkelstein D.M. .
Source: Statistics In Medicine, 2002-12-30 00:00:00.0; 21(24), p. 3897-911.
PMID: 12483774
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Analysis Of Failure Time Data With Dependent Interval Censoring
Authors: Finkelstein D.M. , Goggins W.B. , Schoenfeld D.A. .
Source: Biometrics, 2002 Jun; 58(2), p. 298-304.
PMID: 12071402
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Testing For Dependence Between Failure Time And Visit Compliance With Interval-censored Data
Authors: Betensky R.A. , Finkelstein D.M. .
Source: Biometrics, 2002 Mar; 58(1), p. 58-63.
PMID: 11890327
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A Proportional Hazards Model For Multivariate Interval-censored Failure Time Data
Authors: Goggins W.B. , Finkelstein D.M. .
Source: Biometrics, 2000 Sep; 56(3), p. 940-3.
PMID: 10985240
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A non-parametric maximum likelihood estimator for bivariate interval censored data.
Authors: Betensky R.A. , Finkelstein D.M. .
Source: Statistics In Medicine, 1999-11-30 00:00:00.0; 18(22), p. 3089-100.
PMID: 10544308
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An extension of Kendall's coefficient of concordance to bivariate interval censored data.
Authors: Betensky R.A. , Finkelstein D.M. .
Source: Statistics In Medicine, 1999-11-30 00:00:00.0; 18(22), p. 3101-9.
PMID: 10544309
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Applying The Cox Proportional Hazards Model For Analysis Of Latency Data With Interval Censoring
Authors: Goggins W.B. , Finkelstein D.M. , Zaslavsky A.M. .
Source: Statistics In Medicine, 1999-10-30 00:00:00.0; 18(20), p. 2737-47.
PMID: 10521863
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Combining Mortality And Longitudinal Measures In Clinical Trials
Authors: Finkelstein D.M. , Schoenfeld D.A. .
Source: Statistics In Medicine, 1999-06-15 00:00:00.0; 18(11), p. 1341-54.
PMID: 10399200
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Applying The Cox Proportional Hazards Model When The Change Time Of A Binary Time-varying Covariate Is Interval Censored
Authors: Goggins W.B. , Finkelstein D.M. , Zaslavsky A.M. .
Source: Biometrics, 1999 Jun; 55(2), p. 445-51.
PMID: 11318198
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A Markov Chain Monte Carlo Em Algorithm For Analyzing Interval-censored Data Under The Cox Proportional Hazards Model
Authors: Goggins W.B. , Finkelstein D.M. , Schoenfeld D.A. , Zaslavsky A.M. .
Source: Biometrics, 1998 Dec; 54(4), p. 1498-507.
PMID: 9883548
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