Evidence map›Paper›PMID 37601275›Full record

ArticleScandinavian journal of statistics, theory and applications2023

Generalizing the information content for stepped wedge designs: A marginal modeling approach.

Fan Li, Jessica Kasza, Elizabeth L Turner, Paul J Rathouz, Andrew B Forbes, John S Preisser

Abstract read
In one paragraph

Article in Scandinavian journal of statistics, theory and applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Fan LiDepartment of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0001-6183-1893
Jessica KaszaSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Elizabeth L TurnerDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.
Paul J RathouzDepartment of Population Health, The University of Texas at Austin, Austin, Texas, USA.
Andrew B ForbesSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
John S PreisserDepartment of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863Patient-Centered Outcomes Research Institute ME-2019C1-16196
6 · The paper itself

Abstract

Stepped wedge trials are increasingly adopted because practical constraints necessitate staggered roll-out. While a complete design requires clusters to collect data in all periods, resource and patient-centered considerations may call for an incomplete stepped wedge design to minimize data collection burden. To study incomplete designs, we expand the metric of information content to discrete outcomes. We operate under a marginal model with general link and variance functions, and derive information content expressions when data elements (cells, sequences, periods) are omitted. We show that the centrosymmetric patterns of information content can hold for discrete outcomes with the variance-stabilizing link function. We perform numerical studies under the canonical link function, and find that while the patterns of information content for cells are approximately centrosymmetric for all examined underlying secular trends, the patterns of information content for sequences or periods are more sensitive to the secular trend, and may be far from centrosymmetric.

Indexed as

centrosymmetrycluster randomized trialsgeneralized estimating equationssymmetric block correlation structurevariance-stabilizing link function

Identifiers

PMID37601275
PMCPMC10434823

What OpenQuestion holds

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Registered trials

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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.