Evidence map›Paper›PMID 24120653›Full record

ArticleContemporary clinical trials2013

A unifying framework for standard and covariate-adaptive randomization procedures based on minimizing suitable imbalance functions.

Vance W Berger

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Contemporary clinical trials, 2013. 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
0.7field-weighted citation impact, top 27% of its field
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, 2 citations in OpenAlex.

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

1 author at 1 institution in 1 country.

Vance W BergerNational Cancer Institute, Biometry Research Group, 9609 Medical Center Drive, Rockville, MD 20850, United States; University of Maryland Baltimore County, United States. Electronic address: vb78c@nih.gov.
National Cancer Institute · US

Funding

Intramural NIH HHS Z99 CA999999NCI NIH HHS Y99 CA999999
6 · The paper itself

Abstract

Minimization is based on minimizing an imbalance function defined in terms of one or more covariates. Standard (non-adaptive) randomization procedures, on the other hand, generally do not specify or try to minimize an imbalance function. However, it turns out that they may be formulated in this manner. Doing so places adaptive and standard randomization procedures within the same framework, and also suggests novel randomization procedures that combine the best elements of both.

Indexed as

Random AllocationData Interpretation, StatisticalHumansRandomized Controlled Trials as TopicSample SizeTreatment OutcomeAdaptive randomizationAllocation concealmentImbalance function

Identifiers

PMID24120653
PMCPMC3850514
OpenAlexW2026867003

What OpenQuestion holds

Textmetadata
LicenceTDM
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.