How to use multiple logistic regression in retrospective database analyses

J. Abarca, E. P. Armstrong

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Accurately measuring the effectiveness of medical or pharmacological interventions is essential in economic evaluations. Many economic evaluations are performed retrospectively using medical and pharmacy claims databases. A challenge to using this approach is that variation in treatment patterns prevents simple comparisons between patient groups. Multiple logistic regression is a powerful technique that can overcome this challenge and is suited for 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 among patient with congestive heart failure.

Original languageEnglish (US)
Pages (from-to)832-841
Number of pages10
Issue number10
StatePublished - 2000

ASJC Scopus subject areas

  • Pharmacology (medical)


Dive into the research topics of 'How to use multiple logistic regression in retrospective database analyses'. Together they form a unique fingerprint.

Cite this