alexa
Reach Us +44-1522-440391
Inference Of Long Term Effects And Over-diagnosis In Periodic Cancer Screening | 7602
ISSN: 2155-6180

Journal of Biometrics & Biostatistics
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
All submissions will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Inference of long term effects and over-diagnosis in periodic cancer screening

2nd International Conference and Exhibition on Biometrics & Biostatistics

Dongfeng Wu

ScientificTracks Abstracts: J Biomet Biostat

DOI: 10.4172/2155-6180.S1.009

Abstract
This project develops a probability model for evaluating long-term effects due to regular screening. Initially asymptomatic people who take part in cancer screening were categorized into four mutually exclusive groups: True-early-detection, No- early-detection, Over-diagnosis, and Symptom-free-life. For each case, probability formulae were derived rigorously. Simulation studies using the HIP (Health Insurance Plan for Greater New York) breast cancer study's data provide estimates for these probabilities and corresponding credible intervals. These probabilities change with a person's age at study entry, screening frequency, screening sensitivity, and other parameters. We also allow human lifetime to be subject to a competing risk of death from other causes by using the actuarial life table from Social Security Administration. The model can provide policy makers with important information regarding the distribution of individuals participating in a screening program who eventually fall into one of the four categories. Key words: over-diagnosis, true-early-detection, symptom-free-life, sensitivity, sojourn time, transition probability.
Biography

Dongfeng Wu is an associate professor in the Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville. She has published more than 25 papers in reputed journals and serving as an editorial board member of the Journal of Biometrics and Biostatistics . She is the Editor-in-Chief of the journal Open Access Medical Statistics .

Relevant Topics
Top