Analysis of ectopic pregnancy data using marginal and conditional models.

Abstract:

:This work is motivated by a longitudinal study of women and their ectopic pregnancy outcomes in Lund, Sweden. In this article, we review and apply the Liang-Zeger methodology to the Lund ectopic pregnancy data set. We further analyse the ectopic pregnancy data using conditional modelling approaches suggested by Rosner and Bonney. From the Lund ectopic pregnancy data, we learned that PID is the strongest predictor of subsequent development of ectopic pregnancy and that there is a monotone relationship between PID severity and ectopic pregnancy. We also learned that the presence of mycoplasma from lower or upper genital tract sites at index laparoscopy is also a strong predictor of ectopic pregnancy. Other correlates of ectopic pregnancy include age at pregnancy and history of gynaecologic surgery.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Hadgu A,Koch G,Westrom L

doi

10.1002/(sici)1097-0258(19971115)16:21<2403::aid-s

subject

Has Abstract

pub_date

1997-11-15 00:00:00

pages

2403-17

issue

21

eissn

0277-6715

issn

1097-0258

pii

10.1002/(SICI)1097-0258(19971115)16:21<2403::AID-S

journal_volume

16

pub_type

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