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Grant Details

Grant Number: 5R03CA115012-02 Interpret this number
Primary Investigator: Wu, Dongfeng
Organization: Mississippi State University
Project Title: Statistical Inference for Lead Time in Cancer Screening
Fiscal Year: 2006
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Abstract

DESCRIPTION (provided by applicant): The long-term goal of this research is to develop new statistical methodology for the design and analysis of cancer screening trials. Cancer screening is the major technique for early detection of cancer, hence for disease control. The effectiveness of the screening program directly depends on lead time, which is the length of time the diagnosis is advanced by screening. The property of the lead time for the screening detected cases has been derived in today's literature, mainly in a stable disease model. However, the proportion of people who does not benefit from the screening is not addressed; further more, the long-term contribution of screening has not been evaluated. The specific aims are: (1) Derive the exact probability distribution for the lead time in a periodic screening program, for both the screening-detected cases and the interval cases, in both stable and nonstable disease models. Hence we can make statistical inference about the lead time, estimate the proportion of people who truly benefit from periodic screenings in a long-term scenario, and the proportion that does not. The proposed distribution of the lead time will depend on the sensitivity, the sojourn time distribution, the transition probability into the preclinical state, and the screening time intervals. The proposed method will be verified by extensive simulations. (2) Apply the proposed method to aid in developing the optimal design of periodic screening; in particular, choosing screening time intervals for groups of people with different risks. User-friendly software will be developed and made available to the research community. In summary, the proposed research will be an aid to increase the efficiency and reduce the cost of future periodic screening trials.

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Publications

Sojourn time and lead time projection in lung cancer screening.
Authors: Wu D, Erwin D, Rosner GL
Source: Lung Cancer, 2011 Jun;72(3), p. 322-6.
EPub date: 2010 Nov 13.
PMID: 21075475
Related Citations

Grant Numbers:
NCI NIH HHS - CA-115012

MeSH Terms:
Sensitivity and Specificity Computer Simulation Humans
Bayes Theorem Aged Smoking
Lung Neoplasms Early Detection of Cancer Mass Chest X-Ray
Middle Aged Adenocarcinoma Time Factors
Male

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Estimating key parameters in periodic breast cancer screening-application to the Canadian National Breast Screening Study data.
Authors: Chen Y, Brock G, Wu D
Source: Cancer Epidemiol, 2010 Aug;34(4), p. 429-33.
PMID: 20434974
Related Citations

Grant Numbers:
NCRR NIH HHS - P20RR16481 NCI NIH HHS - R03CA115012 NIDCR NIH HHS - P20-RR/DE177702
NICHD NIH HHS - R01-HD053509 NIDCR NIH HHS - R01DE018215 NCI NIH HHS - R03 CA115012-02
NIEHS NIH HHS - P30-ES014443

MeSH Terms:
Mammography Humans Bayes Theorem
Breast Neoplasms Models, Statistical Mass Screening
Canada Survival Rate Risk Factors
Adult Early Detection of Cancer Middle Aged
Female

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A projection of benefits due to fecal occult blood test for colorectal cancer.
Authors: Wu D, Erwin D, Rosner GL
Source: Cancer Epidemiol, 2009 Oct;33(3-4), p. 212-5.
EPub date: 2009 Sep 4.
PMID: 19733140
Related Citations

Grant Numbers:
NCI NIH HHS - CA-115012 NCI NIH HHS - R03 CA115012-02

MeSH Terms:
Occult Blood Sex Factors Humans
Bayes Theorem Aged Health Policy
Mass Screening Aged, 80 and over Adult
Middle Aged Time Factors Colorectal Neoplasms
Female Male

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Estimating key parameters in FOBT screening for colorectal cancer.
Authors: Wu D, Erwin D, Rosner GL
Source: Cancer Causes Control, 2009 Feb;20(1), p. 41-6.
EPub date: 2008 Aug 15.
PMID: 18704710
Related Citations

Grant Numbers:
NCI NIH HHS - CA-115012 NCI NIH HHS - R03 CA115012-02

MeSH Terms:
Sensitivity and Specificity Occult Blood Humans
Cohort Studies Adult Early Detection of Cancer
Aged Middle Aged Male
Female Colorectal Neoplasms

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Bayesian inference for the lead time in periodic cancer screening.
Authors: Wu D, Rosner GL, Broemeling LD
Source: Biometrics, 2007 Sep;63(3), p. 873-80.
PMID: 17825017
Related Citations

Grant Numbers:
NCI NIH HHS - CA-115012 NCI NIH HHS - CA-093459 NCI NIH HHS - R03 CA115012-01
NCI NIH HHS - R03 CA115012-02

MeSH Terms:
Sensitivity and Specificity Biometry Reproducibility of Results
Humans Diagnosis, Computer-Assisted Bayes Theorem
Breast Neoplasms Population Surveillance Risk Assessment
Mass Screening Risk Factors Time Factors
Female

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Simulation Procedure in Periodic Cancer Screening Trials.
Authors: Wu D, Wu X, Banicescu I, Cariņo RL
Source: J Mod Appl Stat Methods, 2005 Nov;4(2), p. 522-527.
PMID: 17077868
Related Citations

Grant Numbers:
NCI NIH HHS - R03 CA115012-01

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MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening.
Authors: Wu D, Rosner GL, Broemeling L
Source: Biometrics, 2005 Dec;61(4), p. 1056-63.
PMID: 16401279
Related Citations

Grant Numbers:
NCI NIH HHS - R03 CA115012-01 NCI NIH HHS - CA-79466

MeSH Terms:
Sensitivity and Specificity Mass Screening Age Factors
Mammography Humans Adult
Bayes Theorem Breast Neoplasms Middle Aged
Likelihood Functions Female

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Last Updated: August 24, 2012
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