Collins, L.M., Schafer, J.L. and Kam, C.-M. (2001) A Comparison of Inclusive and Restrictive Strategies in Modern Missing Data Procedures. Psychological Methods, 6, 330.
https://doi.org/10.1037/1082-989X.6.4.330

has been cited by the following article:

• 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