Group and conditional posterior inclusion probabilities for each factor in Western China, 2004–2012, using Bayesian Kernel Machine Regression hierarchical variable selection with missing data imputed by MICE. Article Swipe
Xiaojing Zeng (2577715)
,
Dongjian Yang (8923223)
,
Shiyang Li (4096573)
,
Xiaolin Hua (608523)
,
Yanlin Wang (110566)
,
Jun Zhang (48506)
,
Zhiwei Liu (151279)
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pmed.1004837.s015
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pmed.1004837.s015
Note: GroupPIP, group posterior inclusion probabilities; CondPIP, conditional posterior inclusion probabilities; MCH, maternal and child health; Ob/Gyn, obstetrics and gynecology; PCDI, per capita disposable income. (DOCX)
Related Topics To Compare & Contrast
Concepts
Missing data
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Posterior probability
Mathematics
Bayesian probability
Imputation (statistics)
Feature selection
Kernel (algebra)
Selection (genetic algorithm)
Group (periodic table)
Econometrics
Kernel regression
Factor analysis
Inclusion (mineral)
Conditional probability distribution
Regression
Variable (mathematics)
Logistic regression
Grouped data
Bayesian inference
Bayesian linear regression
Latent variable
Conditional probability
Covariate
Conditional independence
Kernel method
Computer science
Regression analysis
Kernel density estimation
Bayesian statistics
Selection bias
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