Factors associated with decreased total and cause-specific maternal mortality in Eastern and Western China during 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.s028

Note: The asterisk * and dagger † symbols in the cell represent that the factor contributes the most to the exposure–response relationship when all other factors are fixed at their 25th and 75th percentiles, respectively. White cell means that the factor is not identified as the component associated with reduced maternal mortality in the mixture. CMD, coexisting medical diseases; HDP, hypertensive disorders in pregnancy; PCDI, per capita. (TIFF)

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Statistics

Feature Selection

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Missing data Statistics Feature selection Logistic regression Bayesian probability Selection (genetic algorithm) Factor analysis Regression Econometrics Principal component analysis Regression analysis Mathematics Linear regression Kernel (algebra) Kernel density estimation Computer science Factor regression model Imputation (statistics) Variable (mathematics) China Risk factor Kernel method Component (thermodynamics)

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DOI: https://doi.org/10.1371/journal.pmed.1004837.s028

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Title: Factors associated with decreased total and cause-specific maternal mortality in Eastern and Western China during 2004–2012, using Bayesian Kernel Machine Regression hierarchical variable selection with missing data imputed by MICE.

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Publication year: 2025

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Publication date: 2025-12-04

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Authors: Xiaojing Zeng (2577715), Dongjian Yang (8923223), Shiyang Li (4096573), Xiaolin Hua (608523), Yanlin Wang (110566), Jun Zhang (48506), Zhiwei Liu (151279)

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Concepts: Missing data, Statistics, Feature selection, Logistic regression, Bayesian probability, Selection (genetic algorithm), Factor analysis, Regression, Econometrics, Principal component analysis, Regression analysis, Mathematics, Linear regression, Kernel (algebra), Kernel density estimation, Computer science, Factor regression model, Imputation (statistics), Variable (mathematics), China, Risk factor, Kernel method, Component (thermodynamics)

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