Understanding Statistical Noise in Research: 2. Noise in Clinical Trials and Observational Studies.

Signal confounding noise observational studies postrandomization bias randomized controlled trials regression

Journal

Indian journal of psychological medicine

ISSN: 0253-7176

Titre abrégé: Indian J Psychol Med

Pays: United States

ID NLM: 7910727

Informations de publication

Date de publication:
Mar 2023

Historique:

entrez: 17 3 2023

pubmed: 18 3 2023

medline: 18 3 2023

Statut: ppublish

Résumé

The previous article in this series explained basic concepts related to statistical signals and statistical noise in research. This article explains statistical noise in the context of randomized controlled trials (RCTs) and observational studies and offers suggestions on how noise in such studies may be reduced so as to better detect and understand the signal. Postrandomization bias related to RCTs and confounding in observational studies are discussed. Examples are provided to facilitate understanding.

Identifiants

DOI: 10.1177/02537176221149162 PMID: 36925488 PMC: PMC10011845

pubmed: 36925488

doi: 10.1177/02537176221149162

pii: 10.1177_02537176221149162

pmc: PMC10011845

doi:

Types de publication

Journal Article

Langues

eng

Pagination

198-200

Informations de copyright

Déclaration de conflit d'intérêts

The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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