Modeling longitudinal data with a random change point and no time-zero: Applications to inference and prediction of the labor curve-Reference-Cited by-同舟云学术

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

Published:2014-08-25 Issue:4 Volume:70 Page:1052-1060
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

McLain Alexander C.¹,Albert Paul S.²

Affiliation:

1. Department of Epidemiology and Biostatistics; University of South Carolina; 800 Sumter Street Columbia South Carolina 29208 U.S.A.

2. Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS; 6100 Executive Blvd Room 7B05 Rockville Maryland 20852 U.S.A.

Funder

National Institute of Child Health and Human Development

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12218/fullpdf

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4. The development and validation of a dynamic model to account for the progress of labor in the assessment of pain;Conell-Price;Anesthesia & Analgesia,2008

5. An Introduction to the Bootstrap

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