Evidence map›Paper›PMID 32540231›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods.

Natalia Kunst, Edward C F Wilson, David Glynn, Fernando Alarid-Escudero, Gianluca Baio, Alan Brennan, Michael Fairley, Jeremy D Goldhaber-Fiebert, Chris Jackson, Hawre Jalal and 5 more

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Methods for Communicating the Impact of Parameter Uncertainty in a Multiple-Strategies Cost-Effectiveness Comparison.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
  3. Pooled it
  4. General-Purpose Methods for Simulating Survival Data for Expected Value of Sample Information Calculations.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Trial
  5. A Pragmatic Bayesian Adaptive Trial Design Based on the Value of Information: The Value-Driven Adaptive Design.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Accurate EVSI Estimation for Nonlinear Models Using the Gaussian Approximation Method.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  11. Article
  12. Making Drug Approval Decisions in the Face of Uncertainty: Cumulative Evidence versus Value of Information.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  13. Article
  14. Article
  15. Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022
    Article
  16. Article
  17. Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  18. Article
  19. Expected Value of Sample Information to Guide the Design of Group Sequential Clinical Trials.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  20. Value of Information Analysis in Models to Inform Health Policy.Annual review of statistics and its application · 2022
    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

15 authors.

Natalia KunstDepartment of Health Management and Health Economics, University of Oslo, Oslo, Norway; Yale University School of Medicine, New Haven, CT, USA; Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands; LINK Medical Research, Oslo, Norway. Electronic address: natalia.kunst@medisin.uio.no.
Edward C F WilsonHealth Economics Group, Norwich Medical School, University of East Anglia, Norwich, England, UK.
David GlynnUniversity of York, York, England, UK.
Fernando Alarid-EscuderoCenter for Research and Teaching in Economics, Aguascalientes, Mexico.
Gianluca BaioUniversity College London, London, England, UK.
Alan BrennanSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, England, UK.
Michael FairleyStanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA.
Jeremy D Goldhaber-FiebertStanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA.
Chris JacksonMRC Biostatistics Unit, University of Cambridge, Cambridge, England, UK.
Hawre JalalUniversity of Pittsburgh, Pittsburgh, PA, USA.
Nicolas A MenziesHarvard TH Chan School of Public Health, Harvard University, Boston, MA, USA.
Mark StrongSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, England, UK.
Howard ThomUniversity of Bristol, Bristol, England, UK.
Anna HeathUniversity College London, London, England, UK; The Hospital for Sick Children, Toronto, ON, Canada; University of Toronto, Toronto, ON, Canada.
Collaborative Network for Value of Information

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
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
Evaluating health and economic effects of targeted strategies in TB/HIVR01AI112438 · NIAID · YALE UNIVERSITY · PI COHEN, THEODORE H, SALOMON, JOSHUA A · 2014 to 2017
$2.4M
CIHR MYG-151207Medical Research Council G0601721Medical Research Council MC_UU_00002/11Medical Research Council MCUU00002/11Medical Research Council MR/S036709/1NCATS NIH HHS KL2 TR001856NCI NIH HHS U01 CA199335NIAID NIH HHS R01 AI112438
6 · The paper itself

Abstract

Value of information (VOI) analyses can help policy makers make informed decisions about whether to conduct and how to design future studies. Historically a computationally expensive method to compute the expected value of sample information (EVSI) restricted the use of VOI to simple decision models and study designs. Recently, 4 EVSI approximation methods have made such analyses more feasible and accessible. Members of the Collaborative Network for Value of Information (ConVOI) compared the inputs, the analyst's expertise and skills, and the software required for the 4 recently developed EVSI approximation methods. Our report provides practical guidance and recommendations to help inform the choice between the 4 efficient EVSI estimation methods. More specifically, this report provides: (1) a step-by-step guide to the methods' use, (2) the expertise and skills required to implement the methods, and (3) method recommendations based on the features of decision-analytic problems.

Indexed as

Decision MakingDecision Support TechniquesResearch DesignHumansPolicy MakingResearchSoftware

Identifiers

PMID32540231
PMCPMC8183576

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.