TITLE:
Multilevel Modeling of Binary Outcomes with Three-Level Complex Health Survey Data
AUTHORS:
Shafquat Rozi, Sadia Mahmud, Gillian Lancaster, Wilbur Hadden, Gregory Pappas
KEYWORDS:
Health Care Utilization, Complex Health Survey with Sampling Weights, Simulations for Complex Survey, Pseudo Likelihood, Three-Level Data
JOURNAL NAME:
Open Journal of Epidemiology,
Vol.7 No.1,
January
25,
2017
ABSTRACT: Complex survey designs often involve unequal selection probabilities of clus-ters or units within clusters. When estimating models for complex survey data, scaled weights are incorporated into the likelihood, producing a pseudo likeli-hood. In a 3-level weighted analysis for a binary outcome, we implemented two methods for scaling the sampling weights in the National Health Survey of Pa-kistan (NHSP). For NHSP with health care utilization as a binary outcome we found age, gender, household (HH) goods, urban/rural status, community de-velopment index, province and marital status as significant predictors of health care utilization (p-value