id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bk128912m57	Qian Zhang	Methods for Moderation Analysis with Missing Data	2015		.txt	text/plain	163	5	27	The factors are missing data mechanisms, population moderation effect sizes, sample sizes, missing data proportions, and distributions of predictor X. Influence of adding auxiliary variables is also discussed in terms of estimation accuracy for NML and NMI. In the study, I consider a simple moderated multiple regression (MMR) model, where the effect of predictor X on the outcome Y is moderated by a moderator U. My primary interest is to find ways of estimating and testing the moderation effect with the existence of missing data.	cache/bk128912m57.txt	txt/bk128912m57.txt