Evidence map›Paper›PMID 26079372›Full record

ArticleContemporary clinical trials2015

Adaptive design of confirmatory trials: Advances and challenges.

Tze Leung Lai, Philip W Lavori, Ka Wai Tsang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Contemporary clinical trials, 2015. 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.

  1. Article
  2. Article
  3. On Consequentialism and Fairness.Frontiers in artificial intelligence · 2020
    Review
  4. Article
  5. Article
  6. Review
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.

Tze Leung LaiDepartment of Statistics, Stanford University, Stanford, CA, USA. Electronic address: lait@stanford.edu.
Philip W LavoriDepartment of Health Research and Policy, Stanford University, Stanford, CA, USA.
Ka Wai TsangInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
Interim Analysis and Other Topics in BiostatisticsR01CA088890 · NCI · STANFORD UNIVERSITY · PI LAI, TZE LEUNG · 2002 to 2004
$311k
NCATS NIH HHS UL1 TR001085NCI NIH HHS 1 P30 CA124435-01NCI NIH HHS R01 CA088890NCRR NIH HHS UL1 RR025744
6 · The paper itself

Abstract

The past decade witnessed major developments in innovative designs of confirmatory clinical trials, and adaptive designs represent the most active area of these developments. We give an overview of the developments and associated statistical methods in several classes of adaptive designs of confirmatory trials. We also discuss their statistical difficulties and implementation challenges, and show how these problems are connected to other branches of mainstream Statistics, which we then apply to resolve the difficulties and bypass the bottlenecks in the development of adaptive designs for the next decade.

Indexed as

Research DesignBayes TheoremClinical Trials as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicComputer SimulationData Interpretation, StatisticalHumansSample SizeUnited StatesUnited States Food and Drug AdministrationAdaptive designAdaptive randomizationBayesian inferenceEarly stoppingHybrid resamplingMulti-arm bandits

Identifiers

PMID26079372
PMCPMC4639447

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.