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Multilevel Logistic Regression Analysis using MLwiN [推广有奖]

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Lisrelchen 发表于 2013-12-19 06:42:24 |显示全部楼层 |坛友微信交流群
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Journal of Data Science 9(2011), 93-110

Multilevel Logistic Regression Analysis Applied to Binary Contraceptive Prevalence Data

Md. Hasinur Rahaman Khan and J. Ewart H. Shaw

University of Warwick

Abstract: In public health, demography and sociology, large-scale surveys often follow a hierarchical data structure as the surveys are based on multistage stratified cluster sampling. The appropriate approach to analyzing such survey data is therefore based on nested sources of variability which come from different levels of the hierarchy. When the variance of the residual errors is correlated between individual observations as a result of these nested structures, traditional logistic regression is inappropriate. We use the
2004 Bangladesh Demographic and Health Survey (BDHS) contraceptive binary data which is a multistage stratified cluster dataset. This dataset is used to exemplify all aspects of working with multilevel logistic regression models, including model conceptualization, model description, understanding of the structure of required multilevel data, estimation of the model via the statistical package MLwiN, comparison between different estimations, and investigation of the selected determinants of contraceptive use.
Multilevel Logistic Regression Analysis Applied to Binary Contraceptive Prevalen.pdf (109.71 KB)


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关键词:Multilevel regression regressio logistic Analysis structure therefore Journal surveys public

nkunku 发表于 2013-12-19 07:11:06 |显示全部楼层 |坛友微信交流群

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tianwk 发表于 2020-3-26 22:27:26 |显示全部楼层 |坛友微信交流群
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