Evidence map›Paper›PMID 42282900›Full record

ArticleJournal of statistical planning and inference2021

Comparing Adaptive Interventions under a General Sequential Multiple Assignment Randomized Trial Design via Multiple Comparisons with the Best.

Xiaobo Zhong, Ying Kuen Cheung, Min Qian, Bin Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of statistical planning and inference, 2021. 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

4 authors.

Xiaobo ZhongDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, New York 10029, USA.
Ying Kuen CheungDepartment of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, New York 10032, USA.
Min QianDepartment of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, New York 10032, USA.
Bin ChengDepartment of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, New York 10032, USA.

Funding

Novel Methods for Evaluation and Implementation of Behavioral Intervention Technologies for DepressionR01MH109496 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEUNG, KEN, MOHR, DAVID CURTIS · 2016 to 2019
$1.6M
Building Multistage Treatment Regimens for Depression after Acute Coronary SyndromeSyndromeR21MH108999 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI QIAN, MIN · 2016 to 2017
$440k
NIMH NIH HHS R01 MH109496NIMH NIH HHS R21 MH108999
6 · The paper itself

Abstract

This paper considers screening of adaptive interventions or adaptive treatment strategies embedded in a sequential multiple assignment randomized trial (SMART). As a SMART typically consists of numerous adaptive interventions, inferential procedures based on pairwise comparisons of all interventions may suffer substantial loss in efficiency after accounting for multiplicity. We propose simultaneous confidence intervals that compare the values of interventions of interest to that of the unknown best intervention by generalizing the method in Edwards and Hsu (1983). The multiple comparison with the best (MCB) intervals are applied as screening tool: an intervention with MCB interval excluding zero will be declared as inferior to the true best at a pre-specified confidence level, and hence excluded from further exploration. Simulation studies show that the proposed method outperforms the multiple comparison procedures based on Bonferroni's correction in terms of width of confidence intervals for estimation. The method is applied to analyze data from the CODIACS trial in patients with depression.

Indexed as

Dynamical treatmentMultiple comparisonMultistage decisionSimultaneous confidence intervalstreatment screening

Identifiers

PMID42282900
PMCPMC13251714

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.