Evidence map›Paper›PMID 37155554›Full record

ArticleThe Stata journal2023

artcat: Sample-size calculation for an ordered categorical outcome.

Ian R White, Ella Marley-Zagar, Tim P Morris, Mahesh K B Parmar, Patrick Royston, Abdel G Babiker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Stata journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Making Sense of Hierarchical Composite End Points in Randomized Clinical Trials-A Primer for Infectious Diseases Clinicians and Researchers.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Review
  2. Article
  3. 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

6 authors.

Ian R WhiteMRC Clinical Trials Unit, University College London, London, U.K.
Ella Marley-ZagarMRC Clinical Trials Unit, University College London, London, U.K.
Tim P MorrisMRC Clinical Trials Unit, University College London, London, U.K.
Mahesh K B ParmarMRC Clinical Trials Unit, University College London, London, U.K.
Patrick RoystonMRC Clinical Trials Unit, University College London, London, U.K.
Abdel G BabikerMRC Clinical Trials Unit, University College London, London, U.K.

Funding

Medical Research Council MC_UU_00004/09Medical Research Council MC_UU_12023/29
6 · The paper itself

Abstract

We describe a new command, artcat, that calculates sample size or power for a randomized controlled trial or similar experiment with an ordered categorical outcome, where analysis is by the proportional-odds model. artcat implements the method of Whitehead (1993,

Indexed as

artcatcategorical variableclinical trialevaluationnoninferiority trialpowerproportional-odds modelrandomized controlled trialsample sizest0700substantial-superiority trial

Identifiers

PMID37155554
PMCPMC7614472

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.