Estimating causal effects using prior information on nontrial treatments
Background Departures from randomized treatments complicate the analysis of many randomized controlled trials. Intention-to-treat analysis estimates the effect of being allocated to treatment. It is now possible to estimate the effect of re...
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| Format: | Online |
| Language: | English |
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SAGE Publications
2010
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3131117/ |
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pubmed-31311172011-07-11 Estimating causal effects using prior information on nontrial treatments Bond, Simon J White, Ian R Article Background Departures from randomized treatments complicate the analysis of many randomized controlled trials. Intention-to-treat analysis estimates the effect of being allocated to treatment. It is now possible to estimate the effect of receiving treatment without assuming comparability of groups defined by actual treatment. However, the methodology is largely confined to trials where the only treatment changes were switches to other trial treatments. SAGE Publications 2010-12 /pmc/articles/PMC3131117/ /pubmed/20817650 http://dx.doi.org/10.1177/1740774510382439 Text en © The Author(s), 2010. Reprints and permissions: http://www.sagepub.co.uk/journalsPermissions.nav |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Bond, Simon J White, Ian R |
| spellingShingle |
Bond, Simon J White, Ian R Estimating causal effects using prior information on nontrial treatments |
| author_facet |
Bond, Simon J White, Ian R |
| author_sort |
Bond, Simon J |
| title |
Estimating causal effects using prior information on nontrial
treatments |
| title_short |
Estimating causal effects using prior information on nontrial
treatments |
| title_full |
Estimating causal effects using prior information on nontrial
treatments |
| title_fullStr |
Estimating causal effects using prior information on nontrial
treatments |
| title_full_unstemmed |
Estimating causal effects using prior information on nontrial
treatments |
| title_sort |
estimating causal effects using prior information on nontrial
treatments |
| description |
Background Departures from randomized treatments
complicate the analysis of many randomized controlled trials. Intention-to-treat
analysis estimates the effect of being allocated to treatment.
It is now possible to estimate the effect of receiving
treatment without assuming comparability of groups defined by actual treatment.
However, the methodology is largely confined to trials where the only treatment
changes were switches to other trial treatments. |
| publisher |
SAGE Publications |
| publishDate |
2010 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3131117/ |
| _version_ |
1611464144717873152 |