Evidence map›Paper›PMID 32424400›Full record

ArticleHuman reproduction (Oxford, England)2020

Choice of statistical model in observational studies of ART.

Laura E Dodge, Leslie V Farland, Katharine F B Correia, Stacey A Missmer, Emily A Seidler, Jack Wilkinson, Anna M Modest, Michele R Hacker

Abstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. The importance of mediation in reproductive health studies.Human reproduction (Oxford, England) · 2020
    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

8 authors.

Laura E DodgeDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Leslie V FarlandDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Katharine F B CorreiaDepartment of Mathematics and Statistics, Amherst College, Amherst, MA, USA.
Stacey A MissmerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Emily A SeidlerDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Jack WilkinsonCentre for Biostatistics Manchester Academic Health Science Centre, University of Manchester, Manchester, England, UK.
Anna M ModestDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Michele R HackerDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
NICHD NIH HHS L50 HD085412NIEHS NIH HHS P30 ES006694Wellcome Trust
6 · The paper itself

Abstract

Analyzing data on ART presents unique and sometimes complicated challenges related to choosing the unit(s) of analysis and the statistical model. In this commentary, we provide examples of how these challenges arise and guidance for overcoming them. We discuss the implications of different ways to count treatment cycles, considering the perspectives of research questions, data management and analysis and patient counseling. We present the advantages and disadvantages of different statistical models, and finally, we discuss the definition and calculation of the cumulative incidence of live birth, which is a key outcome of research on ART.

Indexed as

Live BirthReproductive Techniques, AssistedFemaleHumansModels, StatisticalPregnancyPregnancy, Multipleassisted reproductive technologiesdata analysisdata reportingresearch methodsstatistical models

Identifiers

PMID32424400
PMCPMC7368396

What OpenQuestion holds

Textmetadata
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.