Estimands, estimators and sensitivity analysis in clinical trials
Why estimands are important -- Estimands and how to define them -- Strategies for dealing with intercurrent events -- Real world examples in choosing and specifying estimands -- Causal inference and estimands -- Putting the principles into practice -- Overview of estimators -- Modeling consideration...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, FL, London, New York
CRC Press, Taylor & Francis Group
2021
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| Ausgabe: | First issued in paperback |
| Schriftenreihe: | Chapman & Hall/CRC biostatistics series
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Tag hinzufügen | Zusammenfassung: | Why estimands are important -- Estimands and how to define them -- Strategies for dealing with intercurrent events -- Real world examples in choosing and specifying estimands -- Causal inference and estimands -- Putting the principles into practice -- Overview of estimators -- Modeling considerations -- Overview of analyses for composite intercurrent event strategies -- Overview of analyses for hypothetical intercurrent event strategies -- Overview of analyses for principal stratification intercurrent event strategies -- Overview of analyses for while-on-treatment intercurrent event strategies -- Overview of analyses for treatment policy intercurrent event strategies -- Missing data -- Sensitivity analyses -- Example data -- Direct maximum likelihood -- Multiple imputation -- Inverse probability weighted generalized estimated equations -- Doubly robust methods -- Reference-based imputation -- Delta adjustment -- Overview of principal stratification methods -- Analytic case study of depression clinical trials -- Analytic case study #2 -- Analytic case study #3. "The concepts of estimands, analyses (estimators) and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language; providing technical details; providing real world examples and providing SAS and R code to implement analyses"-- |
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| Beschreibung: | Literaturverzeichnis: Seite 299-307 |
| Beschreibung: | xxv, 318 Seiten Diagramme |
| ISBN: | 9781032242620 978-1-032-24262-0 9781138592506 978-1-138-59250-6 |