Literature DB >> 12174032

Segmented regression analysis of interrupted time series studies in medication use research.

A K Wagner1, S B Soumerai, F Zhang, D Ross-Degnan.   

Abstract

Interrupted time series design is the strongest, quasi-experimental approach for evaluating longitudinal effects of interventions. Segmented regression analysis is a powerful statistical method for estimating intervention effects in interrupted time series studies. In this paper, we show how segmented regression analysis can be used to evaluate policy and educational interventions intended to improve the quality of medication use and/or contain costs.

Mesh：

Year:  2002        PMID： 12174032     DOI： 10.1046/j.1365-2710.2002.00430.x

Source DB:  PubMed          Journal:  J Clin Pharm Ther        ISSN： 0269-4727            Impact factor:   2.512


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