Evidence map›Paper›PMID 41983295›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Sensitivity Analysis: A Practical Guide to Teaching.

Stefano Tarantola, Ivana Aleksovska, Mariia Kozlova, Alessio Lachi, Samuele Lo Piano, Rossana Rosati, Andrea Saltelli

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Stefano TarantolaEuropean Commission, Joint Research Centre, Ispra, Italy.
Ivana AleksovskaEuropean Commission, Joint Research Centre, Ispra, Italy.
Mariia KozlovaDepartment of Business Studies, LUT Business School, Lappeenranta, Finland.
Alessio LachiDepartment of Medicine, Saint Camillus International University of Health and Medical Sciences, Rome, Italy.
Samuele Lo PianoFaculty of Management and Economics, Gdańsk University of Technology, Gdańsk, Poland.
Rossana RosatiEuropean Commission, Joint Research Centre, Ispra, Italy.
Andrea SaltelliBarcelona School of Management, University Pompeu Fabra, Barcelona, Spain.

Funding

Horizon Europe R&D program (project i4Driving) 101076165
6 · The paper itself

Abstract

Sensitivity analysis is the process of attributing the variability of model outputs to uncertainties in input parameters and assumptions. Why is this technique important? Which methods and concepts should be prioritized in teaching it? And what instructional strategies are best suited to different audiences? This work seeks to address these questions by drawing on the experience gained from 12 summer schools conducted by the authors since 1999, along with numerous specialized training courses delivered to academia, research organizations, and international institutions. We aim to distill these experiences into practical guidance for teaching sensitivity analysis, offering both methodological foundations and pedagogical strategies to support educators and future practitioners.

Indexed as

global sensitivity analysismodel‐based decision makingpedagogical frameworkquantitative modeling educationrisk analysisrisk assessmentuncertainty quantification

Identifiers

PMID41983295
PMCPMC13080593

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.