Investigation of statistical methods used in prognostic prediction models for obstetric care: A 10 year‐span cross‐sectional study

Investigation of statistical methods used in prognostic prediction models for obstetric care: A 10 year‐span cross‐sectional study

Abstract Introduction Obstetric care is a highly active area in the development and application of prognostic prediction models. The development and validation of these models often require the utilization of advanced statistical techniques. However, failure to adhere to rigorous methodological stan...

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Bibliographic Details
Main Authors: Jing Tan, Chunrong Liu, Min Yang, Yiquan Xiong, Shiyao Huang, Yana Qi, Meng Chen, Lehana Thabane, Xinghui Liu, Lin He, Xin Sun
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Acta Obstetricia et Gynecologica Scandinavica
Subjects:
cross‐sectional survey
model derivation
model validation
obstetric care
prognostic prediction model
statistical methods
Online Access:https://doi.org/10.1111/aogs.14757
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https://doi.org/10.1111/aogs.14757

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