Evidence map›Paper›PMID 28061043›Full record

ReviewMedical decision making : an international journal of the Society for Medical Decision Making2017

An Overview of R in Health Decision Sciences.

Hawre Jalal, Petros Pechlivanoglou, Eline Krijkamp, Fernando Alarid-Escudero, Eva Enns, M G Myriam Hunink

Abstract readReview
In one paragraph

Review in Medical decision making : an international journal of the Society for Medical Decision Making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. A Tutorial on Discrete Event Simulation Models Using a Cost-Effectiveness Analysis Example in R.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  5. The evolution of applied field epidemiology training in Canada: The last fifty years, and a vision for the future.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Article
  13. Cost and Cost-Effectiveness of Treating Human Epidermal Growth Factor Receptor 2-Low Metastatic Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Sample size matters: A step-by-step guide for radiologists.Journal of clinical imaging science · 2025
    Review
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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.

Hawre JalalUniversity of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA (HJ).
Petros PechlivanoglouThe Hospital for Sick Children, Toronto and University of Toronto, Toronto, Ontario, Canada (PP).
Eline KrijkampErasmus MC, Rotterdam, the Netherlands (EK).
Fernando Alarid-EscuderoUniversity of Minnesota School of Public Health, Minneapolis, MN, USA (FA-E, EE).
Eva EnnsUniversity of Minnesota School of Public Health, Minneapolis, MN, USA (FA-E, EE).
M G Myriam HuninkErasmus MC, Rotterdam, The Netherlands and Harvard T.H. Chan School of Public Health, Boston, MA, USA (MGMH).

Funding

Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future ResearchU01CA199335 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2015 to 2019
$5.5M
NCI NIH HHS U01 CA199335
6 · The paper itself

Abstract

As the complexity of health decision science applications increases, high-level programming languages are increasingly adopted for statistical analyses and numerical computations. These programming languages facilitate sophisticated modeling, model documentation, and analysis reproducibility. Among the high-level programming languages, the statistical programming framework R is gaining increased recognition. R is freely available, cross-platform compatible, and open source. A large community of users who have generated an extensive collection of well-documented packages and functions supports it. These functions facilitate applications of health decision science methodology as well as the visualization and communication of results. Although R's popularity is increasing among health decision scientists, methodological extensions of R in the field of decision analysis remain isolated. The purpose of this article is to provide an overview of existing R functionality that is applicable to the various stages of decision analysis, including model design, input parameter estimation, and analysis of model outputs.

Indexed as

Decision Support TechniquesProgramming LanguagesSoftwareCost-Benefit AnalysisData Interpretation, StatisticalHumansMarkov ChainsModels, Statisticalcost-effectiveness analysiseconomic evaluationliterature reviewR project

Identifiers

PMID28061043
PMCPMC12185038

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.