Evidence map›Paper›PMID 37167008›Full record

ArticleStatistical methods in medical research2023

Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes.

Jamie Yap, John J Dziak, Raju Maiti, Kevin Lynch, James R McKay, Bibhas Chakraborty, Inbal Nahum-Shani

Abstract read
In one paragraph

Article in Statistical methods in medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Jamie YapInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-0899-7146
John J DziakInstitute for Health Research and Policy, University of Illinois Chicago, Chicago, IL, USA.
Raju MaitiEconomic Research Unit, Indian Statistical Institute, Kolkata, West Bengal, India.ORCID 0000-0001-8429-5106
Kevin LynchPsychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-0426-0323
James R McKayPsychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Bibhas ChakrabortyCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-7366-0478
Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.

Funding

TREATMENT STRATEGIES FOR METHODONE NONRESPONDERSP60DA005186 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI O'BRIEN, CHARLES P · 1997 to 2012
$28.1M
Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Research Methods CoreP01AA016821 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI MCKAY, JAMES R. · 2008 to 2012
$2.7M
NIAAA NIH HHS P01 AA016821NIDA NIH HHS P50 DA039838NIDA NIH HHS P50 DA054039NIDA NIH HHS P60 DA005186NIDA NIH HHS R01 DA039901
6 · The paper itself

Abstract

Dynamic treatment regimens (DTRs), also known as

Indexed as

Randomized Controlled Trials as TopicResearch DesignAlgorithmsClinical ProtocolsHumansSample SizeAdaptive interventiondynamic treatment regimenlongitudinal outcomeoverdispersed countsample size estimationsequential multiple assignment randomized trialSMART

Identifiers

PMID37167008
PMCPMC10520220

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.