Evidence map›Paper›PMID 29398733›Full record

ArticleAnnals of statistics2017

TARGETED SEQUENTIAL DESIGN FOR TARGETED LEARNING INFERENCE OF THE OPTIMAL TREATMENT RULE AND ITS MEAN REWARD.

Antoine Chambaz, Wenjing Zheng, Mark J van der Laan

Abstract read
In one paragraph

Article in Annals of statistics, 2017. 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. Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting.Journal of the American Statistical Association · 2021
    Article
  4. Performance Guarantees for Policy Learning.Annales de l'I.H.P. Probabilites et statistiques · 2020
    Article
  5. Article
  6. 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.

Antoine ChambazUPL, Université Paris Nanterre.
Wenjing ZhengUniversity of California, Berkeley.
Mark J van der LaanUniversity of California, Berkeley.

Funding

TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
Targeted Learning using adaptive designs for HIV Epidemic control in East AfricaR01AI074345 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI PETERSEN, MAYA LIV, VANDERLAAN, MARK J · 2007 to 2023
$6.6M
NIAID NIH HHS R01 AI074345NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

This article studies the targeted sequential inference of an optimal treatment rule (TR) and its mean reward in the non-exceptional case,

Indexed as

62G20banditsoptimal treatment ruleprecision medicinePrimary 62G05pseudo-regretsecondary 62K99targeted minimum loss estimation (TMLE)

Identifiers

PMID29398733
PMCPMC5794253

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.