Evidence map›Paper›PMID 39757494›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2025

A Fast Nonparametric Sampling Method for Time to Event in Individual-Level Simulation Models.

David U Garibay-Treviño, Hawre Jalal, Fernando Alarid-Escudero

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

David U Garibay-TreviñoSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, ON, Canada.ORCID 0000-0002-0459-1579
Hawre JalalSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, ON, Canada.ORCID 0000-0002-8224-6834
Fernando Alarid-EscuderoDepartment of Health Policy, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-5076-1172

Funding

Comparative Modeling of Effective Policies for Colorectal Cancer ControlU01CA253913 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI RUTTER, CAROLYN M, ZAUBER, ANN GRAHAM · 2020 to 2025
$6.5M
Population Modeling of Bladder Cancer Detection and ControlU01CA265750 · NCI · BROWN UNIVERSITY · PI JALAL, HAWRE, TRIKALINOS, THOMAS · 2021 to 2025
$3.4M
NCI NIH HHS U01 CA253913NCI NIH HHS U01 CA265750
6 · The paper itself

Abstract

highlightsThe nonparametric sampling method is generic and can sample times to an event from any discrete (or discretizable) hazard without requiring any parametric assumption.The method is showcased with 5 commonly used distributions in discrete-event simulation models.The method produced very similar expected times to events, as well as their probability distribution, compared with analytical results.We provide a multivariate categorical sampling function for R and Python programming languages to sample times to events from processes with different hazards simultaneously.

Indexed as

Computer SimulationModels, StatisticalHumansStatistics, NonparametricTime Factorsdiscrete event simulationmultivariate categorical samplingnonhomogeneous poisson point process (NHPPP)non-parametric samplingtime to event

Identifiers

PMID39757494
PMCPMC11736974

What OpenQuestion holds

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LicenceCC BY
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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.