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Pfeffermann, D., Skinner, C.J., Holmes, D.J., Goldstein, H. and Rasbash, J. (1998) Weighting for Unequal Selection Probabilities in Multilevel Models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60, 23-40.
https://doi.org/10.1111/1467-9868.00106

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