Evidence map›Paper›PMID 38463445›Full record

ArticleThe annals of applied statistics2022

A NOVEL FRAMEWORK TO ESTIMATE MULTIDIMENSIONAL MINIMUM EFFECTIVE DOSES USING ASYMMETRIC POSTERIOR GAIN AND

Ying Kuen Cheung, Thevaa Chandereng, Keith M Diaz

Abstract read
In one paragraph

Article in The annals of applied statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Monotone response surface of multi-factor condition: estimation and Bayes classifiers.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2023
    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

3 authors.

Ying Kuen CheungDepartment of Biostatistics, Columbia University.ORCID 0000-0001-8530-035X
Thevaa ChanderengDepartment of Biostatistics, Columbia University.ORCID 0000-0003-4078-9176
Keith M DiazDepartment of Medicine, Columbia University.ORCID 0000-0003-0190-0548

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Relationship between the 24-Hour Activity Cycle and 24-Hour Blood Pressure (PDS administrative supplement to R01HL153642)R01HL153642 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEUNG, KEN, DIAZ, KEITH M · 2021 to 2025
$3.8M
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
NCATS NIH HHS UL1 TR001873NHLBI NIH HHS R01 HL153642NIMH NIH HHS R01 MH109496
6 · The paper itself

Abstract

In this article we address the problem of estimating minimum effective doses in dose-finding clinical trials of multidimensional treatment. We are motivated by a behavioral intervention trial where we introduce sedentary breaks to subjects with a goal to reduce their glucose level monitored over 8 hours. Each sedentary break regimen is defined by two elements: break frequency and break duration. The trial aims to identify minimum combinations of frequency and duration that shift mean glucose, that is, the minimum effective dose (MED) combinations. The means of glucose reduction associated with the dose combinations are only partially ordered. To circumvent constrained estimation due to partial ordering, we propose estimating the MED by maximizing a weighted product of combinationwise posterior gains. The estimation adopts an asymmetric gain function, indexed by a decision parameter

Indexed as

Adaptive dose-findinggeneralized PIPEglucose monitoringsedentary breaksweighted posterior gain

Identifiers

PMID38463445
PMCPMC10923175

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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.