Evidence map›Paper›PMID 34375473›Full record

ReviewPharmacoepidemiology and drug safety2021

Core concepts in pharmacoepidemiology: Violations of the positivity assumption in the causal analysis of observational data: Consequences and statistical approaches.

Yaqian Zhu, Rebecca A Hubbard, Jessica Chubak, Jason Roy, Nandita Mitra

Open access · greenAbstract readReview
In one paragraph

Review in Pharmacoepidemiology and drug safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Should We Extend the Use of Oral Antibiotics in Infective Endocarditis? The ENDO-ORAL Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  9. Network-based prediction and real-world patient data observation identify doxycycline as a repurposable drug in Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  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

5 authors at 3 institutions in 1 country.

Yaqian ZhuDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-5187-2667
Rebecca A HubbardDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0879-0994
Jessica ChubakKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID 0000-0003-1630-9021
Jason RoyDepartment of Biostatistics and Epidemiology, School of Public Health, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0001-5178-4210
Nandita MitraDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-7714-3910
University of Pennsylvania · USKaiser Permanente · USRutgers, The State University of New Jersey · US

Funding

Commonly Used Medications and Risk of Colorectal Cancer RecurrenceR01CA172073 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI CHUBAK, JESSICA · 2013 to 2016
$2.1M
Improving confounder control in EHR-based studies of cancer epidemiologyR21CA227613 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HUBBARD, REBECCA · 2019 to 2020
$474k
NCI NIH HHS R01 CA172073NCI NIH HHS R21 CA227613
6 · The paper itself

Abstract

In the causal analysis of observational data, the positivity assumption requires that all treatments of interest be observed in every patient subgroup. Violations of this assumption are indicated by nonoverlap in the data in the sense that patients with certain covariate combinations are not observed to receive a treatment of interest, which may arise from contraindications to treatment or small sample size. In this paper, we emphasize the importance and implications of this often-overlooked assumption. Further, we elaborate on the challenges nonoverlap poses to estimation and inference and discuss previously proposed methods. We distinguish between structural and practical violations and provide insight into which methods are appropriate for each. To demonstrate alternative approaches and relevant considerations (including how overlap is defined and the target population to which results may be generalized) when addressing positivity violations, we employ an electronic health record-derived data set to assess the effects of metformin on colon cancer recurrence among diabetic patients.

Indexed as

Propensity ScoreCausalityHumansextrapolationgeneralizabilityoverlappropensity scoretrimmingweighting

Identifiers

PMID34375473
PMCPMC8492528
OpenAlexW3191543646

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.