Evidence map›Paper›PMID 27405326›Full record

ArticleStatistical methods in medical research2018

Non-randomized and randomized stepped-wedge designs using an orthogonalized least squares framework.

Yirui Hu, Donald R Hoover

Abstract read
In one paragraph

Article in Statistical methods in medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

2 authors.

Yirui Hu1 Department of Statistics and Biostatistics, Rutgers University New Brunswick, New Jersey, USA.
Donald R Hoover1 Department of Statistics and Biostatistics, Rutgers University New Brunswick, New Jersey, USA.

Funding

Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
"Enhancing Cancer Research in Central Africa IeDEA"U01AI096299 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Denis Nash, Marcel Yotebieng · 2011 to 2026
$35.8M
Reducing Urban Women's HIV Risk: Soap Opera Videos on Video Capable Cell PhonesR01NR010860 · NINR · RUTGERS THE STATE UNIV OF NJ NEWARK · PI JONES, RACHEL · 2009 to 2012
$2.0M
Reducing urban women's HIV risk: Soap opera videos streamed to mobile devicesR01NR014632 · NINR · NORTHEASTERN UNIVERSITY · PI JONES, RACHEL · 2015 to 2018
$2.0M
NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI096299NINR NIH HHS R01 NR010860NINR NIH HHS R01 NR014632
6 · The paper itself

Abstract

Randomized stepped-wedge (R-SW) designs are increasingly used to evaluate interventions targeting continuous longitudinal outcomes measured at T-fixed time points. Typically, all units start out untreated, and randomly chosen units switch to intervention at sequential time points until all receive intervention. As randomization is not always feasible, non-randomized stepped-wedge (NR-SW) designs (units switching to intervention are not randomly chosen) have attracted researchers. We develop an orthogonlized generalized least squares framework for both R-SW and NR-SW designs. The variance of the intervention effect estimate depends on the number of steps ( S), length of step sizes ( t

Indexed as

Least-Squares AnalysisRandom AllocationResearch DesignLong-Term CareOutcome Assessment, Health CareResidential FacilitiesSkin UlcerUrinary Incontinencecompound symmetry covariance approximationfixed and random effectsNon-randomized stepped-wedgeoptimal designorthogonalized least squarespower and sample size estimation

Identifiers

PMID27405326
PMCPMC5225259

What OpenQuestion holds

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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.