Evidence map›Paper›PMID 30662101›Full record

ArticleAnnals of statistics2016

STATISTICAL INFERENCE FOR THE MEAN OUTCOME UNDER A POSSIBLY NON-UNIQUE OPTIMAL TREATMENT STRATEGY.

Alexander R Luedtke, Mark J van der Laan

Abstract read
In one paragraph

Article in Annals of statistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
  2. Causal K-Means Clustering.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2026
    Article
  3. Data Fusion for Partial Identification of Causal Effects.Advances in neural information processing systems · 2025
    Article
  4. Covariate-assisted bounds on causal effects with instrumental variables.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025
    Article
  5. Replicable Bandits for Digital Health Interventions.Statistical science : a review journal of the Institute of Mathematical Statistics · 2025
    Article
  6. Polygenic prediction of treatment efficacy with causal transfer learning.medRxiv : the preprint server for health sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Testing for the Markov property in time series via deep conditional generative learning.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2023
    Article
  11. Article
  12. Causal isotonic calibration for heterogeneous treatment effects.Proceedings of machine learning research · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Post-Contextual-Bandit Inference.Advances in neural information processing systems · 2021
    Article
  20. 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

2 authors.

Alexander R LuedtkeUniversity of California, Berkeley.
Mark J van der LaanUniversity of California, Berkeley.

Funding

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 AI074345
6 · The paper itself

Abstract

We consider challenges that arise in the estimation of the mean outcome under an optimal individualized treatment strategy defined as the treatment rule that maximizes the population mean outcome, where the candidate treatment rules are restricted to depend on baseline covariates. We prove a necessary and sufficient condition for the pathwise differentiability of the optimal value, a key condition needed to develop a regular and asymptotically linear (RAL) estimator of the optimal value. The stated condition is slightly more general than the previous condition implied in the literature. We then describe an approach to obtain root-

Indexed as

Efficient estimatornon-regular inferenceonline estimationoptimal treatmentoptimal valuepathwise differentiabilityPrimary 62G05secondary 62N99semi parametric model

Identifiers

PMID30662101
PMCPMC6338452

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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.