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  1. Journal of biopharmaceutical statistics
  2. Year: 2014, Volume: 24
  3. Year: 2014, Volume: 24, Issue: 2
  4. Cost-Effectiveness Analysis: a proposal of new reporting standards in statistical analysis
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Year: 2016, Volume: 26
Year: 2015, Volume: 25
Year: 2014, Volume: 24
Year: 2014, Volume: 24, Issue: 6
Year: 2014, Volume: 24, Issue: 5
Year: 2014, Volume: 24, Issue: 4
Year: 2014, Volume: 24, Issue: 3
Year: 2014, Volume: 24, Issue: 2
A MULTIPLE IMPUTATION METHOD FOR SENSITIVITY ANALYSES OF TIME-TO-EVENT DATA WITH POSSIBLY INFORMATIVE CENSORING
Multivariate Recurrent Events in the Presence of Multivariate Informative Censoring with Applications to Bleeding and Transfusion Events in Myelodyplastic Syndrome
Cost-Effectiveness Analysis: a proposal of new reporting standards in statistical analysis
Year: 2014, Volume: 24, Issue: 1
Year: 2013, Volume: 23
Year: 2012, Volume: 22
Year: 2011, Volume: 21
Year: 2010, Volume: 20
Year: 2009, Volume: 19
Year: 2008, Volume: 18

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Cost-Effectiveness Analysis: a proposal of new reporting standards in statistical analysis

Content Provider PubMed Central
Author Bang, Heejung Zhao, Hongwei
Abstract Cost-effectiveness analysis (CEA) is a method for evaluating the outcomes and costs of competing strategies designed to improve health, and has been applied to a variety of different scientific fields. Yet, there are inherent complexities in cost estimation and CEA from statistical perspectives (e.g., skewness, bi-dimensionality, and censoring). The incremental cost-effectiveness ratio that represents the additional cost per one unit of outcome gained by a new strategy has served as the most widely accepted methodology in the CEA. In this article, we call for expanded perspectives and reporting standards reflecting a more comprehensive analysis that can elucidate different aspects of available data. Specifically, we propose that mean and median-based incremental cost-effectiveness ratios and average cost-effectiveness ratios be reported together, along with relevant summary and inferential statistics as complementary measures for informed decision making.
Related Links http://dx.doi.org/10.1080/10543406.2013.860157
Ending Page 460
Page Count 18
Starting Page 443
File Format PDF
ISSN 10543406
e-ISSN 15205711
Journal Journal of biopharmaceutical statistics
Issue Number 2
Volume Number 24
Language English
Publisher Date 2014-03-04
Access Restriction Open
Subject Keyword Statistics and Probability Pharmacology (medical) Pharmacology Research in Higher Education
Content Type Text
Resource Type Article
Subject Statistics and Probability Pharmacology Pharmacology (medical)
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