Evidence map›Paper›PMID 36855685›Full record

ArticleJournal of the American Statistical Association2022

Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis.

Daniel R Kowal

Abstract read
In one paragraph

Article in Journal of the American Statistical Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. A Path to Simpler Models Starts With Noise.Advances in neural information processing systems · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. 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

1 author.

Daniel R KowalDepartment of Statistics, Rice University.

Funding

Bringing Modern Data Science Tools to Bear on Environmental Mixtures: Administrative Supplement for U3 PopulationsR01ES028819 · NIEHS · UNIVERSITY OF NOTRE DAME · PI MIRANDA, MARIE LYNN · 2018 to 2021
$2.4M
NIEHS NIH HHS R01 ES028819
6 · The paper itself

Abstract

Prediction is critical for decision-making under uncertainty and lends validity to statistical inference. With

Indexed as

Bayesian statisticsfunctional dataphysical activityvariable selection

Identifiers

PMID36855685
PMCPMC9970289

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.