Understanding Statistical Noise in Research: 2. Noise in Clinical Trials and Observational Studies-Reference-Cited by-同舟云学术

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

Published:2023-02-01 Issue:2 Volume:45 Page:198-200
ISSN:0253-7176
Container-title:Indian Journal of Psychological Medicine
language:en
Short-container-title:Indian Journal of Psychological Medicine

Author:

Andrade Chittaranjan¹^ORCID

Affiliation:

1. Dept. of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India.

Abstract

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.

Publisher

SAGE Publications

Subject

Clinical Psychology,Psychiatry and Mental health

Link

http://journals.sagepub.com/doi/pdf/10.1177/02537176221149162

Reference9 articles.

1. Understanding Statistical Noise in Research: 1. Basic Concepts

2. Signal-to-Noise Ratio, Variability, and Their Relevance in Clinical Trials

3. The Potential for Postrandomization Confounding in Randomized Clinical Trials

4. Propensity Score Matching in Nonrandomized Studies: A Concept Simply Explained Using Antidepressant Treatment During Pregnancy as an Example

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