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Maximum-likelihood estimation and presentation for the interaction between treatments in observational studies with a dichotomous outcome
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektronik, matematik och naturvetenskap, Matematik.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
2017 (engelsk)Inngår i: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141, Vol. 46, nr 9, s. 7138-7153Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In observational studies for the interaction between treatments, one needs to estimate and present both the treatment effects and the interaction to learn the significance of the interaction to the treatment effects. In this article, we estimate the treatment effects and the interaction jointly by using only one logistic model and based on maximum-likelihood. We present the interaction by (1) point estimate and confidence interval of the interaction, (2) point estimate and confidence region of (treatment effect, interaction) and (3) point estimate and confidence interval of the interaction when the maximum-likelihood estimate of one treatment effect falls into specified range.

sted, utgiver, år, opplag, sider
2017. Vol. 46, nr 9, s. 7138-7153
Emneord [en]
treatment effect; interaction between treatments; point estimate; interval estimate; logistic model
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-22744DOI: 10.1080/03610918.2016.1230213ISI: 000418384300030Scopus ID: 2-s2.0-85018852517OAI: oai:DiVA.org:hig-22744DiVA, id: diva2:1045998
Tilgjengelig fra: 2016-11-11 Laget: 2016-11-11 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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