Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China

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General Info

Geography

China (CHN)

Heilongjiang

Coverage type

Subnational

Time period covered

01/2018 - 12/2020

Data type

Scientific literature

Keywords

Diabetes, Pregnancy

Citation

Authors

Diao D, Diao F, Xiao B, Liu N, Zheng D, Li F, Yang X

Journal

J Diabetes Res

Volume

2022

Pages

2590415

Publication year

2022

Suggested citation

Diao D, Diao F, Xiao B, Liu N, Zheng D, Li F, Yang X. Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China. J Diabetes Res. 2022; 2022: 2590415.

DOI

10115520222590415

PMID

35493606

GHDx Entry last modified on: Mar 22, 2024

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Bayes Conditional Probability-Based Causation Analysis between Gestational Diabetes Mellitus (GDM) and Pregnancy-Induced Hypertension (PIH): A Statistic Case Study in Harbin, China

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