Literature DB >> 12197300

Inferences about population means of health care costs.

Xiao-Hua Zhou1.   

Abstract

The analysis of health care costs is complicated by the skewed and heteroscedastic nature of their distribution with possibly additional zero values. Statistical methods that do not adjust for these features can lead to incorrect conclusions. This paper reviews recent developments in statistical methods for the analysis of health care costs; our focus is on population means.

Mesh：

Year:  2002        PMID： 12197300     DOI： 10.1191/0962280202sm290ra

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN： 0962-2802            Impact factor:   3.021


  4 in total

1.  Choice of statistical model for cost-effectiveness analysis and covariate adjustment: empirical application of prominent models and assessment of their results.

Authors:  Theodoros Mantopoulos; Paul M Mitchell; Nicky J Welton; Richard McManus; Lazaros Andronis
Journal:  Eur J Health Econ       Date:  2015-10-07

Review 2.  Review of statistical methods for analysing healthcare resources and costs.

Authors:  Borislava Mihaylova; Andrew Briggs; Anthony O'Hagan; Simon G Thompson
Journal:  Health Econ       Date:  2010-08-27       Impact factor: 3.046

3.  Design of a new Z-test for the uncertainty of Covid-19 events under Neutrosophic statistics.

Authors:  Muhammad Aslam
Journal:  BMC Med Res Methodol       Date:  2022-04-06       Impact factor: 4.615

4.  A new approach to analyse longitudinal epidemiological data with an excess of zeros.

Authors:  Alette S Spriensma; Tibor R S Hajos; Michiel R de Boer; Martijn W Heymans; Jos W R Twisk
Journal:  BMC Med Res Methodol       Date:  2013-02-20       Impact factor: 4.615
  4 in total

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