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Subgroup analyses involve splitting all the participant data into subgroups, often so as to make comparisons between them. Subgroup analyses may be done for subsets of participants (such as males and females), or for subsets of studies (such as different geographical locations).
Subgroup analyses, either specified a priori or post-hoc, are performed to assess the treatment effect specific to a subgroup of treated patients.
1 cze 2019 · Learn how to interpret subgroup analyses in systematic reviews, using theoretical examples and a real-life case study. Find out why subgroup analyses are important, how to assess their statistical significance, covariate distribution, plausibility, importance and confounding.
To concede to the need of individually based guidelines, many RCTs report analyses on specific subgroups of patients. 1,2 The main aim of a subgroup analysis is to identify either consistency of or large differences in the magnitude of treatment effect among different categories of patients.
22 lis 2007 · By “subgroup analysis,” we mean any evaluation of treatment effects for a specific end point in subgroups of patients defined by baseline characteristics. The end...
Subgroup analysis refers to repeating the analysis of a study within subgroups of subjects defined by a subgrouping variable. For example: smoking status defining two subgroups: smokers and non-smokers).
1 maj 2018 · We explain the importance of interpreting subgroup analyses, and demonstrate how to interpret subgroup analyses using theoretical examples and a real-life subgroup analysis with...
