2020
DOI: 10.1007/s43441-019-00063-9
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Aligning Estimators With Estimands in Clinical Trials: Putting the ICH E9(R1) Guidelines Into Practice

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Cited by 49 publications
(46 citation statements)
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“…Furthermore, a sensitivity analysis will adjust for unequal observation time and use the difference in pain cumulated over 1 year between both treatment groups. Here, we follow the hypothetical estimand strategy for dealing with intercurrent events, wanting to know what outcomes would have been observed if patients had survived 1 year [ 29 ]. In this study, there are several types of intercurrent events (ICEs: like death, drop-out, toxicity), which stay in conflict with a standardized process for longitudinal measurements of pain over a fixed time period.…”
Section: Primary and Secondary Endpointsmentioning
confidence: 99%
“…Furthermore, a sensitivity analysis will adjust for unequal observation time and use the difference in pain cumulated over 1 year between both treatment groups. Here, we follow the hypothetical estimand strategy for dealing with intercurrent events, wanting to know what outcomes would have been observed if patients had survived 1 year [ 29 ]. In this study, there are several types of intercurrent events (ICEs: like death, drop-out, toxicity), which stay in conflict with a standardized process for longitudinal measurements of pain over a fixed time period.…”
Section: Primary and Secondary Endpointsmentioning
confidence: 99%
“…Common strategies aligned with a treatment effect following definitions of "while on treatment" (i.e., the net effect observed just, while patients are still on treatment), or even "hypothetical" (i.e., the expected effect should the ICE not occurred) ignore that an ICE actually occurred. Finally, other strategies are possible, but despite several statistical methods that have been proposed for handling ICEs in survival analyses [8], they are also based on assumptions, and it might be difficult to reach a general consensus on the optimal way for handling them. For these reasons, PFS is a more vulnerable endpoint compared to overall survival, which can easily be retrieved as well as objectively assessed regardless of any ICE under the "treatment policy" strategy.…”
Section: Progression-free Survival Is a Vulnerable Endpointmentioning
confidence: 99%
“…Furthermore, the addendum frequently uses statistical terminology, including the word “estimand” itself, which reduces the document's appeal to nonstatisticians. In response to ICH E9(R1), there has been a proliferation of cross‐industry working groups, scientific papers, 6‐11 regulatory guidance documents 12‐14 and conference sessions on the topic of estimands, which is a clear recognition of their importance. However, most discussions have focused on issues associated with intercurrent events (ICEs; post‐randomisation changes of treatment or patient “state”) and the statistical consequences of the different approaches to handling them.…”
Section: Introductionmentioning
confidence: 99%