Publication Name	World Journal of Clinical Cases
Manuscript ID	13533
Country

Received	2014-08-26 19:51
Peer-Review Started	2014-08-27 11:53
To Make the First Decision	2014-10-14 18:09
Return for Revision	2014-10-20 10:31
Revised	2015-01-14 11:13
Second Decision	2015-05-06 13:53
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2015-05-18 17:27
Articles in Press	2015-05-18 17:26
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2015-07-07 18:53
Publish the Manuscript Online	2015-07-27 18:31

ISSN	2307-8960 (online)
Open Access	This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Statistics & Probability
Manuscript Type	Minireviews
Article Title	Bayesian methods in reporting and managing Australian clinical indicators
Manuscript Source	Invited Manuscript
All Author List	Peter P Howley, Stephen J Hancock, Robert W Gibberd, Sheuwen Chuang and Frank A Tuyl
Funding Agency and Grant Number
Corresponding Author	Dr. Peter P Howley, School of Mathematical and Physical Sciences\Statistics, The University of Newcastle, c/- Room v123, Mathematics Building, Callaghan 2308, Australia. peter.howley@newcastle.edu.au
Key Words	Clinical indicators; Improvement; System gains; Bayesian; Statistical models
Core Tip	The article’s purpose is to bring attention to the increasing use of Bayesian methods in the clinical field to overcome shortcomings of previous analyses, and provide an application of how such methods are used in clinical management in Australia; in particular, on how to best report and use clinical indicator data for system improvement. The paper identifies flaws associated with traditional clinical indicator reporting techniques which are still often-used; describes part of current Australian clinical indicator reporting methods; and demonstrates how and why Bayesian methods are fundamental to the improved methods overcoming issues that would otherwise arise with such data.
Publish Date	2015-07-27 18:31
Citation	Howley PP, Hancock SJ, Gibberd RW, Chuang S, Tuyl FA. Bayesian methods in reporting and managing Australian clinical indicators. World J Clin Cases 2015; 3(7): 625-634
URL	http://www.wjgnet.com/2307-8960/full/v3/i7/625.htm
DOI	http://dx.doi.org/10.12998/wjcc.v3.i7.625

Full Article (PDF)	WJCC-3-625.pdf
Full Article (Word)	WJCC-3-625.doc
Manuscript File	13533-Review.docx
Answering Reviewers	13533-Answering reviewers.pdf
Audio Core Tip	13533-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	13533-Conflict-of-interest statement.pdf
Copyright License Agreement	13533-Copyright assignment.pdf
Peer-review Report	13533-Peer-review(s).pdf
Scientific Misconduct Check	13533-Scientific misconduct check.pdf
Scientific Editor Work List	13533-Scientific editor work list.pdf