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    Wiley ; 2020
    In:  Pharmaceutical Statistics Vol. 19, No. 5 ( 2020-09), p. 626-635
    In: Pharmaceutical Statistics, Wiley, Vol. 19, No. 5 ( 2020-09), p. 626-635
    Abstract: The term “intercurrent events” has recently been used to describe events in clinical trials that may complicate the definition and calculation of the treatment effect estimand. This paper focuses on the use of an attributable estimand to address intercurrent events. Those events that are considered to be adversely related to randomized treatment (eg, discontinuation due to adverse events or lack of efficacy) are considered attributable and handled with a composite estimand strategy, while a hypothetical estimand strategy is used for intercurrent events not considered to be related to randomized treatment (eg, unrelated adverse events). We explore several options for how to implement this approach and compare them to hypothetical “efficacy” and treatment policy estimand strategies through a series of simulation studies whose design is inspired by recent trials in chronic obstructive pulmonary disease (COPD), and we illustrate through an analysis of a recently completed COPD trial.
    Type of Medium: Online Resource
    ISSN: 1539-1604 , 1539-1612
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2083706-9
    detail.hit.zdb_id: 2163550-X
    SSG: 15,3
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