Reweighting estimators to extend the external validity of clinical trials : methodological considerations

Methods to extend the strong internal validity of randomized controlled trials to reliably estimate treatment effects in target populations are gaining attention. This paper enumerates steps recommended for undertaking such extended inference, discusses currently viable choices for each one, and provides recommendations. We demonstrate a complete extended inference from a clinical trial studying a pharmaceutical treatment for Alzheimer's disease (AD) to a realistic target population of European residents diagnosed with AD. This case study highlights approaches to overcoming practical difficulties and demonstrates limitations of reliably extending inference from a trial to a real-world population.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:33

Enthalten in:

Journal of biopharmaceutical statistics - 33(2023), 5 vom: 03. Sept., Seite 515-543

Sprache:

Englisch

Beteiligte Personen:

Kaizar, Eloise [VerfasserIn]
Lin, Chen-Yen [VerfasserIn]
Faries, Douglas [VerfasserIn]
Johnston, Joseph [VerfasserIn]

Links:

Volltext

Themen:

Diagnostic
Extended inference
Generalization
Journal Article
Research Support, Non-U.S. Gov't
Transportation

Anmerkungen:

Date Completed 22.08.2023

Date Revised 29.08.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1080/10543406.2022.2162067

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM351993630