Evidence mapPaperPMID 39743987Full record

ArticleStatistics in biopharmaceutical research2024

Covariate-adaptive biased coin randomization for master protocols with multiple interventions and biomarker-stratified allocation.

Tianhao Song, Lisa M LaVange, Anastasia Ivanova

Abstract read
In one paragraph

Article in Statistics in biopharmaceutical research, 2024. 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. Trial
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

3 authors.

Tianhao SongDepartment of Biostatistics, CB #7420, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7420, USA.
Lisa M LaVangeDepartment of Biostatistics, CB #7420, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7420, USA.
Anastasia IvanovaDepartment of Biostatistics, CB #7420, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7420, USA.

Funding

NHLBI NIH HHS U24 HL138998NHLBI NIH HHS UG1 HL139054
6 · The paper itself

Abstract

In a multi-arm trial with predefined subgroups for each intervention to target, it is often desirable to enrich assignment to an intervention by enrolling more biomarker-positive participants to the intervention. We describe how to implement a biased coin design to achieve desired allocation ratios among interventions and between the number of biomarker-positive and biomarker-negative participants assigned to each intervention. We illustrate the proposed method with the randomization algorithm implemented in the Precision Interventions for Severe and/or Exacerbation-prone Asthma (PrecISE) trial.

Indexed as

biased coin designbiomarker-positive subgroupCovariate-adaptive randomizationenrichment

Identifiers

PMID39743987
PMCPMC11684769

What Socratic 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 Socratic graph.