Modeling repeated labor curves in consecutive pregnancies: Individualized prediction of labor progression from previous pregnancy data-Reference-Cited by-同舟云学术

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Modeling repeated labor curves in consecutive pregnancies: Individualized prediction of labor progression from previous pregnancy data

Published:2020-01-14 Issue:8 Volume:39 Page:1068-1083
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Buhule Olive D.¹^ORCID,Choo‐Wosoba Hyoyoung²,Albert Paul S.²^ORCID

Affiliation:

1. Department of Biostatistics and Medical Informatics, School of Medicine and Public HealthUniversity of Wisconsin‐Madison Madison Wisconsin

2. Biostatistics Branch, Division of Cancer Epidemiology and GeneticsNational Cancer Institute, NIH Bethesda Maryland

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8462

Reference29 articles.

1. Modeling longitudinal data with a random change point and no time-zero: Applications to inference and prediction of the labor curve

2. The Development and Validation of a Dynamic Model to Account for the Progress of Labor in the Assessment of Pain

3. Contemporary Patterns of Spontaneous Labor With Normal Neonatal Outcomes

4. A nonlinear model for highly unbalanced repeated time-to-event data: Application to labor progression

5. A B-Spline Based Semiparametric Nonlinear Mixed Effects Model

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