Format

Send to

Choose Destination
See comment in PubMed Commons below
Stat Methods Med Res. 2016 Apr;25(2):728-40. doi: 10.1177/0962280212465499. Epub 2012 Nov 4.

Estimation of sensitivity depending on sojourn time and time spent in preclinical state.

Author information

1
Biostatistics Core, Karmanos Cancer Institute, School of Medicine, Wayne State University, Detroit, MI, USA kimse@karmanos.org.
2
Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA dongfeng.wu@louisville.edu.

Abstract

The probability model for periodic screening was extended to provide statistical inference for sensitivity depending on sojourn time, in which the sensitivity was modeled as a function of time spent in the preclinical state and the sojourn time. The likelihood function with the proposed sensitivity model was then evaluated with simulated data to check its reliability in terms of the mean estimation and the standard error. Simulation results showed that the maximum likelihood estimates of the proposed model have little bias and small standard errors. The extended probability model was further applied to the Johns Hopkins Lung Project data using both maximum likelihood estimation and Bayesian Markov chain Monte Carlo.

KEYWORDS:

Sensitivity; cancer screening; sojourn time; transition probability

PMID:
23129110
DOI:
10.1177/0962280212465499
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Atypon
    Loading ...
    Support Center