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Let Continuous Outcome Variables Remain Continuous
Joint Authors
Bakhshi, Enayatollah
Seifi, Behjat
Mohammad, Kazem
Biglarian, Akbar
McArdle, Brian
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The complementary log-log is an alternative to logistic model.
In many areas of research, the outcome data are continuous.
We aim to provide a procedure that allows the researcher to estimate the coefficients of the complementary log-log model without dichotomizing and without loss of information.
We show that the sample size required for a specific power of the proposed approach is substantially smaller than the dichotomizing method.
We find that estimators derived from proposed method are consistently more efficient than dichotomizing method.
To illustrate the use of proposed method, we employ the data arising from the NHSI.
American Psychological Association (APA)
Bakhshi, Enayatollah& McArdle, Brian& Mohammad, Kazem& Seifi, Behjat& Biglarian, Akbar. 2012. Let Continuous Outcome Variables Remain Continuous. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-487296
Modern Language Association (MLA)
Bakhshi, Enayatollah…[et al.]. Let Continuous Outcome Variables Remain Continuous. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-487296
American Medical Association (AMA)
Bakhshi, Enayatollah& McArdle, Brian& Mohammad, Kazem& Seifi, Behjat& Biglarian, Akbar. Let Continuous Outcome Variables Remain Continuous. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-487296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487296