Evidence map›Paper›PMID 26450628›Full record

ArticlePsychonomic bulletin & review2016

The fallacy of placing confidence in confidence intervals.

Richard D Morey, Rink Hoekstra, Jeffrey N Rouder, Michael D Lee, Eric-Jan Wagenmakers

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

141 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  8. Auditory Distraction During Reading: A Bayesian Meta-Analysis of a Continuing Controversy.Perspectives on psychological science : a journal of the Association for Psychological Science · 2018
    Pooled it
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  11. Alcohol substitution during one month of cannabis abstinence among non-treatment seeking youth.Progress in neuro-psychopharmacology & biological psychiatry · 2021
    Trial
  12. PEG vs. sennosides for opioid-induced constipation in cancer care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Trial
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  14. Article
  15. Bias and precision in true-score estimation.The British journal of mathematical and statistical psychology · 2026
    Article
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  17. A Bayesian Modeling Approach to Optimize Longitudinal Biomarker Sampling Schedules Using Hormonal Data.American journal of human biology : the official journal of the Human Biology Council · 2026
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  20. Article

81 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Richard D MoreyCardiff University, Cardiff, UK. richarddmorey@gmail.com.
Rink HoekstraUniversity of Groningen, Groningen, Netherlands.
Jeffrey N RouderUniversity of Missouri, Columbia, MO, USA.
Michael D LeeUniversity of California-Irvine, Irvine, CA, USA.
Eric-Jan WagenmakersUniversity of Amsterdam, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - have long been touted as a key component of statistical analyses. There are several kinds of interval estimates, but the most popular are confidence intervals (CIs): intervals that contain the true parameter value in some known proportion of repeated samples, on average. The width of confidence intervals is thought to index the precision of an estimate; CIs are thought to be a guide to which parameter values are plausible or reasonable; and the confidence coefficient of the interval (e.g., 95 %) is thought to index the plausibility that the true parameter is included in the interval. We show in a number of examples that CIs do not necessarily have any of these properties, and can lead to unjustified or arbitrary inferences. For this reason, we caution against relying upon confidence interval theory to justify interval estimates, and suggest that other theories of interval estimation should be used instead.

Indexed as

Bayes TheoremConfidence IntervalsData Interpretation, StatisticalHumansBayesian inference and parameter estimationBayesian statisticsStatistical inferenceStatistics

Identifiers

PMID26450628
PMCPMC4742505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.