Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Stern, Novak, Harlow, and colleagues say compensation due Californians forcibly sterilized under eugenics laws

Burgard and Seelye find job insecurity linked to psychological distress among workers in later years

Former PSC trainee Jay Borchert parlays past incarceration and doctoral degree into pursuing better treatment of inmates

More News

Highlights

Savolainen wins Outstanding Contribution Award for study of how employment affects recidivism among past criminal offenders

Giving Blueday at ISR focuses on investing in the next generation of social scientists

Pfeffer and Schoeni cover the economic and social dimensions of wealth inequality in this special issue

PRB Policy Communication Training Program for PhD students in demography, reproductive health, population health

More Highlights

Next Brown Bag

Mon, Jan 23, 2017 at noon:
H. Luke Shaefer

A functional multiple imputation approach to incomplete longitudinal data

Publication Abstract

He, Y., R. Yucel, and Trivellore Raghunathan. 2011. "A functional multiple imputation approach to incomplete longitudinal data." Statistics in Medicine, 30(10): 1137-1156.

In designed longitudinal studies, information from the same set of subjects are collected repeatedly over time. The longitudinal measurements are often subject to missing data which impose an analytic challenge. We propose a functional multiple imputation approach modeling longitudinal response profiles as smooth curves of time under a functional mixed effects model. We develop a Gibbs sampling algorithm to draw model parameters and imputations for missing values, using a blocking technique for an increased computational efficiency. In an illustrative example, we apply a multiple imputation analysis to data from the Panel Study of Income Dynamics and the Child Development Supplement to investigate the gradient effect of family income on children's health status. Our simulation study demonstrates that this approach performs well under varying modeling assumptions on the time trajectory functions and missingness patterns. Copyright (C) 2011 John Wiley & Sons, Ltd.

DOI:10.1002/sim.4201 (Full Text)

Country of focus: United States of America.

Browse | Search : All Pubs | Next