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 language||English (US)|
|Number of pages||10|
|State||Published - Jan 1 2000|
ASJC Scopus subject areas
- Pharmacology (medical)