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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.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Mathematics.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
2016 (English)In: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141Article in journal (Refereed) Accepted
Abstract [en]

AbstractIn 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.

Place, publisher, year, edition, pages
2016.
Keyword [en]
treatment effect; interaction between treatments; point estimate; interval estimate; logistic model
National Category
Mathematics
Identifiers
URN: urn:nbn:se:hig:diva-22744DOI: 10.1080/03610918.2016.1230213OAI: oai:DiVA.org:hig-22744DiVA: diva2:1045998
Note

Accepted author version published

Available from: 2016-11-11 Created: 2016-11-11 Last updated: 2016-11-11Bibliographically approved

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