Publication Name	World Journal of Methodology
Manuscript ID	93930
Country	Bulgaria

Received	2024-03-08 01:54
Peer-Review Started	2024-03-08 01:54
To Make the First Decision
Return for Revision	2024-04-30 02:39
Revised	2024-05-12 17:47
Second Decision	2024-05-27 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-05-27 08:15
Articles in Press	2024-05-27 08:15
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-06-02 00:31
Typeset the Manuscript	2024-06-12 00:39
Publish the Manuscript Online	2024-06-25 09:25

ISSN	2222-0682 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright	©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Statistics & Probability
Manuscript Type	Minireviews
Article Title	Method “Monte Carlo” in healthcare
Manuscript Source	Invited Manuscript
All Author List	Tsvetelina Velikova, Niya Mileva and Emilia Naseva
Funding Agency and Grant Number	Funding Agency Grant Number European Union-NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria BG-RRP-2.004-0008
Corresponding Author	Emilia Naseva, PhD, Senior Scientist, Faculty of Public Health “Prof. Tsekomir Vodenicharov, MD, Dsc”, Medical University of Sofia, 15 Acad. I. E. Geshov Blvd, Sofia 1431, Bulgaria. e.naseva@foz.mu-sofia.bg
Key Words	Monte Carlo; Simulation; Healthcare; Modeling; Decision analysis; Stochastic methods; Statistical techniques; Health economics
Core Tip	The potential of the Monte Carlo method in healthcare spreads across decision-making, risk analysis, and modeling- in healthcare. Emphasizing versatility, the method navigates uncertainties, offering insights for optimal resource allocation, cost-effectiveness evaluations, and strategic planning in the healthcare domain. The Monte Carlo technique could be demystified through clear illustrations and real-world examples, empowering practitioners to harness its power for robust analyses, enhancing decision accuracy, and contributing to improved healthcare strategies and outcomes.
Publish Date	2024-06-25 09:25
Citation	<p>Velikova T, Mileva N, Naseva E. Method “Monte Carlo” in healthcare. <i>World J Methodol</i> 2024; 14(3): 93930</p>
URL	https://www.wjgnet.com/2222-0682/full/v14/i3/93930.htm
DOI	https://dx.doi.org/10.5662/wjm.v14.i3.93930

Full Article (PDF)	WJM-14-93930-with-cover.pdf
Manuscript File	93930_Revision_Auto_Edited.docx
Answering Reviewers	93930-answering-reviewers.pdf
Audio Core Tip	93930-audio.mp3
Conflict-of-Interest Disclosure Form	93930-conflict-of-interest-statement.pdf
Copyright License Agreement	93930-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	93930-foundation-statement.pdf
Non-Native Speakers of English Editing Certificate	93930-non-native-speakers.pdf
Peer-review Report	93930-peer-reviews.pdf
Scientific Misconduct Check	93930-scientific-misconduct-check.png
Scientific Editor Work List	93930-scientific-editor-work-list.pdf
CrossCheck Report	93930-crosscheck-report.pdf