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Oct 5, 2017 · Although it is not statistically possible to prove that two treatments are identical, it is possible to determine that a new treat-ment is not worse than the control treatment by an...
For observational data, there is an interplay between confounders and modifiers of treatment effect (aka predictive biomarkers), making model selection more challenging
Consider possible intercurrent events when defining the clinical question of interest. In a trial for a drug of type 2 diabetes mellitus, suppose the primary endpoint is the change in HbA1c...
Assumes no interaction between baseline outcome measurement and treatment. This means it assumes that the relationship between baseline and post-intervention outcomes are the same for …
This paper aims to identify problems in the evaluation of the magnitude of treatment-related change, or responsiveness of health status or health-related quality of life instruments, which are...
Jun 9, 2016 · The penultimate question we put to our partners centered around the complexity of defining subjective thresholds using Key Risk Indicators (KRIs) rather than (or in addition to) the …
ot be possible to derive a threshold (or the threshold that is derived may not be adequate). It is also possible that different anchors may provide substantially different meaningful change threshold …
Nov 25, 2023 · In this paper we review recent advances in statistical methods for the evaluation of the heterogeneity of treatment effects (HTE), including subgroup identification and estimation of …
Mar 4, 2014 · Several methodologies for assessing the statistical and clinical significance of intervention effects in randomised clinical trials were considered. Balancing simplicity and …
Sep 27, 2024 · We explore interpretation of a meaningful between-group difference (MBGD) in clinical outcome assessment scores, primarily in the context of randomized clinical trials.
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