How to use multiple logistic regression in retrospective database analyses

Citation
J. Abarca et Ep. Armstrong, How to use multiple logistic regression in retrospective database analyses, FORMULARY, 35(10), 2000, pp. 832
Citations number
11
Categorie Soggetti
Pharmacology
Journal title
FORMULARY
ISSN journal
1082801X → ACNP
Volume
35
Issue
10
Year of publication
2000
Database
ISI
SICI code
1082-801X(200010)35:10<832:HTUMLR>2.0.ZU;2-L
Abstract
Accurately measuring the effectiveness of medical or pharmacological interv entions is essential in economic evaluations. Many economic evaluations are performed retrospectively using medical and pharmacy claims databases. A c hallenge to using this approach is that variation in treatment patterns pre vents simple comparisons between patient groups. Multiple logistic regressi on is a powerful technique that can overcome this challenge and is suited f or evaluating dichotomous outcomes (eg, disease/no disease). An example is presented that applies multiple logistic regression to determine the impact of different drug therapies on hospitalization risk for heart failure amon g patient with congestive heart failure.