ArticleIndian journal of psychological medicine2023
Understanding Statistical Noise in Research: 2. Noise in Clinical Trials and Observational Studies.
Article in Indian journal of psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Poorly Recognized and Uncommonly Acknowledged Limitations of Randomized Controlled Trials.Indian journal of psychological medicine · 2025Article
- Breaking through the noise: how to unveil the cognitive impact of long COVID on pre-existing conditions with executive dysfunctions?Frontiers in psychiatry · 2024Article
- Understanding Statistical Noise in Research: 3. Noise in Regression Analysis.Indian journal of psychological medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.