Evidence map›Paper›PMID 39584059›Full record

ArticlePerspectives on behavior science2024

Pragmatic Application of Risk Ratios in Behavior Analysis.

P Raymond Joslyn, Samuel L Morris

Abstract read
In one paragraph

Article in Perspectives on behavior science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

2 authors.

P Raymond JoslynDepartment of Psychology, West Virginia University, Morgantown, WV USA.ORCID 0000-0002-8207-6505
Samuel L MorrisDepartment of Psychology, Louisiana State University, Baton Rouge, LA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Joslyn and Morris (2024) recently published a tutorial on adapting and applying risk ratios to within-subject behavioral data. Newland (2024; this issue) offers a commentary on Joslyn and Morris that expands the discussion of risk ratios and how they are typically applied in group comparison research. He is also critical of the approach described by Joslyn and Morris, and advocates against its use primarily because it differs from the traditional calculation. Although we agree with many of Newland's assertions about the benefits of the traditional approach, we disagree that it is the only method of evaluating relative risk that may be useful to behavior analysts. In this response to Newland, we summarize and respond to his concerns, discuss our own concerns with his perspective, consider variables that may affect the relative utility of the two approaches, and provide concluding remarks.

Indexed as

Conditional probabilityQuantitative methodsRelative riskRisk ratioUnconditional probability

Identifiers

PMID39584059
PMCPMC11582286

What OpenQuestion holds

Textmetadata
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.