Evidence map›Paper›PMID 42453565›Full record

ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2026

Using case description information to reduce sensitivity to bias for the attributable fraction among the exposed.

Kan Chen, Jing Cheng, M Elizabeth Halloran, Dylan S Small

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kan ChenDepartment of Biostatistics, Harvard University, 677 Huntington Avenue, Boston, MA 02115-6028, USA.ORCID https://orcid.org/0000-0003-4519-1894
Jing ChengDepartment of Epidemiology & Biostatistics, UCSF, 550 16th St 2nd floor, San Francisco, CA 94158-2549, USA.
M Elizabeth HalloranFred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109-1024, USA.
Dylan S SmallDepartment of Statistics and Data Science, University of Pennsylvania, 3rd & 4th Floors, 265 S 37th St, Philadelphia 19104-1686, USA.ORCID https://orcid.org/0000-0003-4928-2646

Funding

Advancing Analysis of Multi-omics Data in Alzheimer's Disease ResearchRF1AG063481 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LONG, QI · 2019 to 2020
$3.8M
NIA NIH HHS RF1 AG063481
6 · The paper itself

Abstract

The attributable fraction among the exposed (

Indexed as

attributable effectsattributable fraction among the exposedFisher’s combination of p-valuesobservational studiesselection biassensitivity analysis

Identifiers

PMID42453565
PMCPMC13366221

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.