This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 142
Type: Contributed
Date/Time: Monday, August 2, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #306489
Title: Robust Covariate Control in Cluster-Randomized Trials with MPLUS and WinBUGS
Author(s): Jiaquan Fan*+
Companies: Westat
Address: 1600 research Blvd., Rockville, MD, 20850, USA
Keywords: Cluster-randomized trials ; multi-level modeling ; Bayesian inference using Gibbs Sampling

Two more statistical software packages, MPLUS and WinBUGS, were tested as a continuation of a previous study of analysis method/software robustness in the analysis of clustered data. We want to evaluate robustness in the context of a randomized complete block design, where each "plot" is a small group of children at the same nursery school and a series of measurements of each child are made. We constructed a series of super populations in which the standard assumptions of hierarchical (mixed effects) linear models were violated. The results were compared with HLM, SUDAAN, PROC MIXED and a semi-parametrical analysis of variance procedure we tested before.

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