Cargando…

Hypothetical Estimands in Clinical Trials: A Unification of Causal Inference and Missing Data Methods

The ICH E9 addendum introduces the term intercurrent event to refer to events that happen after treatment initiation and that can either preclude observation of the outcome of interest or affect its interpretation. It proposes five strategies for handling intercurrent events to form an estimand but...

Descripción completa

Detalles Bibliográficos
Autores principales:	Olarte Parra, Camila, Daniel, Rhian M., Bartlett, Jonathan W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Taylor & Francis 2022
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228513/ https://www.ncbi.nlm.nih.gov/pubmed/37260584 http://dx.doi.org/10.1080/19466315.2022.2081599

Ejemplares similares

Estimands for factorial trials
por: Kahan, Brennan C., et al.
Publicado: (2022)

Understanding estimands
por: Gogtay, Nithya Jaideep, et al.
Publicado: (2021)

Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies
por: Bell, Melanie L, et al.
Publicado: (2019)

Parental feeding and childhood genetic risk for obesity: exploring hypothetical interventions with causal inference methods
por: Herle, Moritz, et al.
Publicado: (2022)

Handling intercurrent events and missing data in non-inferiority trials using the estimand framework: A tuberculosis case study
por: Rehal, Sunita, et al.
Publicado: (2023)

Addressing missing data in randomized clinical trials: A causal inference perspective
por: Cornelisz, Ilja, et al.
Publicado: (2020)

Estimating and reporting treatment effects in clinical trials for weight management: using estimands to interpret effects of intercurrent events and missing data
por: Wharton, Sean, et al.
Publicado: (2021)

Estimands and Complex Innovative Designs
por: Collignon, Olivier, et al.
Publicado: (2022)

Rethinking intercurrent events in defining estimands for tuberculosis trials
por: Pham, Tra My, et al.
Publicado: (2022)

Commentary: Incorporating concepts and methods from causal inference into life course epidemiology
por: De Stavola, Bianca L, et al.
Publicado: (2017)

Commentary: Incorporating concepts and methods from causal inference into life course epidemiology
por: De Stavola, Bianca L, et al.
Publicado: (2016)

University of Pennsylvania 11th annual conference on statistical issues in clinical trials: Estimands, missing data and sensitivity analysis (afternoon panel session)
por: Little, Roderick J, et al.
Publicado: (2019)

Estimands in epigenome-wide association studies
por: Kruppa, Jochen, et al.
Publicado: (2021)

Estimands—What they are and why they are important for pharmacometricians
por: Akacha, Mouna, et al.
Publicado: (2021)

Estimands in published protocols of randomised trials: urgent improvement needed
por: Kahan, Brennan C., et al.
Publicado: (2021)

Estimands: bringing clarity and focus to research questions in clinical trials
por: Clark, Timothy Peter, et al.
Publicado: (2022)

Translating questions to estimands in randomized clinical trials with intercurrent events
por: Stensrud, Mats J., et al.
Publicado: (2022)

Why estimands are needed to define treatment effects in clinical trials
por: Keene, Oliver N., et al.
Publicado: (2023)

Eliminating Ambiguous Treatment Effects Using Estimands
por: Kahan, Brennan C, et al.
Publicado: (2023)

Marking 2-Years of New Thinking in Clinical Trials: The Estimand Journey
por: Fletcher, C., et al.
Publicado: (2022)

Re-randomisation trials in multi-episode settings: Estimands and independence estimators
por: Kahan, Brennan C, et al.
Publicado: (2022)

Estimands in cluster-randomized trials: choosing analyses that answer the right question
por: Kahan, Brennan C, et al.
Publicado: (2022)

Some considerations on target estimands for health technology assessment
por: Remiro‐Azócar, Antonio
Publicado: (2022)

A scoping review of causal methods enabling predictions under hypothetical interventions
por: Lin, Lijing, et al.
Publicado: (2021)

Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation
por: Olarte Parra, Camila, et al.
Publicado: (2022)

Statistical methods and graphical displays of quality of life with survival outcomes in oncology clinical trials for supporting the estimand framework
por: Sakamaki, Kentaro, et al.
Publicado: (2022)

Unification and grand unification
por: Peccei, R D
Publicado: (1983)

Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?
por: Daniel, Rhian M, et al.
Publicado: (2016)

Data integration in causal inference
por: Shi, Xu, et al.
Publicado: (2022)

Causal inference and observational data
por: Olier, Ivan, et al.
Publicado: (2023)

Evaluating how clear the questions being investigated in randomised trials are: systematic review of estimands
por: Cro, Suzie, et al.
Publicado: (2022)

Estimands to quantify prolonged hospital stay associated with nosocomial infections
por: Wolkewitz, Martin, et al.
Publicado: (2019)

Principles and recommendations for incorporating estimands into clinical study protocol templates
por: Lynggaard, Helle, et al.
Publicado: (2022)

Inferring causality in biological oscillators
por: Tyler, Jonathan, et al.
Publicado: (2021)

Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions
por: Kahan, Brennan C., et al.
Publicado: (2020)

Unification and supersymmetry
por: Ellis, Jonathan Richard
Publicado: (1983)

Defining Clinical Trial Estimands: A Practical Guide for Study Teams with Examples Based on a Psychiatric Disorder
por: Polverejan, Elena, et al.
Publicado: (2023)

Functional Loss and Mortality in Randomized Clinical Trials for Amyotrophic Lateral Sclerosis: To Combine, or Not to Combine—That is the Estimand
por: van Eijk, Ruben P.A., et al.
Publicado: (2022)

Commentary: Estimands in cluster trials: thinking carefully about the target of inferenceand the consequences for analysis choice
por: Hemming, Karla, et al.
Publicado: (2022)

Causal inference with observational data in addiction research
por: Chan, Gary C. K., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_tvlffe8ftqt6e9t70evd0jqmuj