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The use of a new logistic regression model for predicting the outcome of pregnancies of unknown location
Author(s) -
G. Condous,
E. Okaro,
Asma Khalid,
D. Timmerman,
Chuan Lü,
Y.-D. Zhou,
Sabine Van Huffel,
T. Bourne
Publication year - 2004
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/deh341
Subject(s) - logistic regression , outcome (game theory) , statistics , regression analysis , obstetrics , medicine , mathematics , mathematical economics
The aim of this study was to generate and evaluate new logistic regression models from simple demographic and hormonal data to predict the outcome of pregnancies of unknown location (PULs).

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