Evidence map›Paper›PMID 39410741›Full record

ArticleStatistics in medicine2024

Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome.

Xinxin Sun, Yongyun Shin, Jennifer Elston Lafata, Stephen W Raudenbush

Abstract read
In one paragraph

Article in Statistics in medicine, 2024. 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.

Xinxin SunVirginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0003-0614-872X
Yongyun ShinVirginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0003-0654-2620
Jennifer Elston LafataThe University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-8550-6195
Stephen W RaudenbushThe University of Chicago, Chicago, Illinois, USA.

Funding

e-Assist: A Post-Visit Patient Portal Tool to Promote Colorectal Cancer ScreeningR01CA197205 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI ELSTON LAFATA, JENNIFER M · 2015 to 2019
$3.0M
Institute of Education Sciences R305D210022NCI NIH HHS R01 CA197205NCI NIH HHS R01CA197205
6 · The paper itself

Abstract

Within each of 170 physicians, patients were randomized to access e-assist, an online program that aimed to increase colorectal cancer screening (CRCS), or control. Compliance was partial:

Indexed as

Colorectal NeoplasmsPatient ComplianceCausalityComputer SimulationEarly Detection of CancerFemaleHumansLikelihood FunctionsModels, StatisticalMulticenter Studies as TopicRandomized Controlled Trials as Topicadaptive Gauss–Hermite quadraturemaximum likelihoodmissing at randomone‐sided noncomplianceshared random effectsite‐specific CACE

Identifiers

PMID39410741
PMCPMC11586915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.