Now showing items 1-10 of 12
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 ...
International Health Economics Association Seventeenth Annual Kenneth J. Arrow Award in Health Economics
(John Wiley & Sons, Ltd., 2008-09)
No Abstract
Genetic information, obesity, and labor market outcomes
(John Wiley & Sons, Ltd., 2008-09)
Economists have argued that obesity may lead to worse labor market outcomes, especially for women. Empirical methods to test this hypothesis have not thus far adequately controlled for the endogeneity of obesity. We use ...
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 ...
Weight and wages: fat versus lean paychecks
(John Wiley & Sons, Ltd., 2009-05)
Past empirical work has shown a negative relationship between the body mass index (BMI) and wages in most cases. We improve on this work by allowing the marginal effect of non-linear BMI groups to vary by gender, age, and ...
On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random
(John Wiley & Sons, Ltd., 1999-09-15)
Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each ...
A hot-deck multiple imputation procedure for gaps in longitudinal data on recurrent events
(John Wiley & Sons, Ltd., 2008-01-15)
We consider the analysis of longitudinal data sets that include times of recurrent events, where interest lies in variables that are functions of the number of events and the time intervals between events for each individual, ...
A Bayesian sensitivity model for intention-to-treat analysis on binary outcomes with dropouts
(John Wiley & Sons, Ltd., 2009-02-15)
Intention-to-treat (ITT) analysis is commonly used in randomized clinical trials. However, the use of ITT analysis presents a challenge: how to deal with subjects who drop out. Here we focus on randomized trials where the ...
Proximity to death and participation in the long-term care market
(John Wiley & Sons, Ltd., 2009-08)
The extent to which increasing longevity increases per capita demand for long-term care depends on the degree to which utilization is concentrated at the end of life. We estimate the marginal effect of proximity to death, ...