Now showing items 1-10 of 23
Committee on the Status of Women in the Economics Profession 2017 Annual Survey
(2018-01-04)
Presentation of results of the annual survey of economics departments conducted by the American Economic Association's Committee on the Status of Women in the Economics Profession. Allied Social Science Association meetings ...
A false-discovery-rate-based loss framework for selection of interactions
(John Wiley & Sons, Ltd., 2008-05-20)
Interaction effects have been consistently found important in explaining the variation in outcomes in many scientific research fields. Yet, in practice, variable selection including interactions is complicated due to the ...
Developing multicomponent interventions using fractional factorial designs
(John Wiley & Sons, Ltd., 2009-09-20)
Multicomponent interventions composed of behavioral, delivery, or implementation factors in addition to medications are becoming increasingly common in health sciences. A natural experimental approach to developing and ...
A Bayesian model for longitudinal count data with non-ignorable dropout
(Blackwell Publishing Ltd, 2008-12)
Good item or bad—can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions
(Blackwell Publishing Ltd, 2008-06)
ICPSR Comment in response to Federal Register notice "Comments for the Advisory Committee on Data for Evidence Building"
(2021-02-09)
Comments of the Inter-university Consortium for Political and Social Research (ICPSR) in response to Federal Register notice “Comments for the Advisory Committee on Data for Evidence Building” Docket Number EAB 2021-0001 ...
Combining information from multiple surveys to enhance estimation of measures of health This article is a U.S. Government work and is in the public domain in the U.S.A.
(John Wiley & Sons, Ltd., 2007-04-15)
Survey estimates are often affected by non-sampling errors due to missing data, coverage error, and measurement or response error. Such non-sampling errors can be difficult to assess, and possibly correct for, using ...