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 standards could greatly undermine the reliability and trustworthiness of the resultant models. Consequently, the aim of our study was to examine the current statistical practices employed in obstetric care and offer recommendations to enhance the utilization of statistical methods in the development of prognostic prediction models.

Material and methods

We conducted a cross-sectional survey using a sample of studies developing or validating prognostic prediction models for obstetric care publis

SUBMITTER: Tan J 

PROVIDER: S-EPMC10867372 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature