JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 687
Type: Contributed
Date/Time: Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #307789
Title: Two-Phase Study Design: Weighting Considerations
Author(s): Shoshana Daniel*+
Companies: Covance
Keywords: Epidemiologic Methods ; Two-phase Design ; Weighting Schemes ; Prevalence Estimation ; Confidence Intervals ; Sensitivity and Specificity
Abstract:

In disease prevalence studies, cases can be identified by applying the diagnostic procedure to all subjects in the sample. However, when ascertainment of disease status is difficult and/or costly, a two-phase design can be employed as an alternative. In the first phase, all subjects are screened using a simple and inexpensive screening procedure (e.g., questionnaire, simple laboratory test). In the second phase, sub-samples of those who screened positive and negative undergo a confirmatory procedure to verify the true disease status. Statistical methods are available to extrapolate prevalence estimates for the subjects in the first phase based on the prevalence estimates obtained in the second phase (e.g., McNamee, 2002; Morvan et. al., 2008). We extend the literature prevalence and variance results to allow for weighting of non-diagnostic disease related criteria in the estimates. In so doing, we obtain conditional prevalence estimates for the population when the covariate distribution differs between the population at large and the screener.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.