Let Continuous Outcome Variables Remain Continuous

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. W...

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Main Authors:	Enayatollah Bakhshi, Brian McArdle, Kazem Mohammad, Behjat Seifi, Akbar Biglarian
Format:	Article
Language:	English
Published:	Hindawi Limited 2012-01-01
Series:	Computational and Mathematical Methods in Medicine
Online Access:	http://dx.doi.org/10.1155/2012/639124

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spelling	doaj-7eb43dadc56244b599f93d97e5b324112020-11-24T21:02:29ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182012-01-01201210.1155/2012/639124639124Let Continuous Outcome Variables Remain ContinuousEnayatollah Bakhshi0Brian McArdle1Kazem Mohammad2Behjat Seifi3Akbar Biglarian4Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, IranDepartment of Statistics, The University of Auckland, Private Bag 92010, Auckland, New ZealandDepartment of Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, IranDepartment of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, IranDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, IranThe 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.http://dx.doi.org/10.1155/2012/639124
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Enayatollah Bakhshi Brian McArdle Kazem Mohammad Behjat Seifi Akbar Biglarian
spellingShingle	Enayatollah Bakhshi Brian McArdle Kazem Mohammad Behjat Seifi Akbar Biglarian Let Continuous Outcome Variables Remain Continuous Computational and Mathematical Methods in Medicine
author_facet	Enayatollah Bakhshi Brian McArdle Kazem Mohammad Behjat Seifi Akbar Biglarian
author_sort	Enayatollah Bakhshi
title	Let Continuous Outcome Variables Remain Continuous
title_short	Let Continuous Outcome Variables Remain Continuous
title_full	Let Continuous Outcome Variables Remain Continuous
title_fullStr	Let Continuous Outcome Variables Remain Continuous
title_full_unstemmed	Let Continuous Outcome Variables Remain Continuous
title_sort	let continuous outcome variables remain continuous
publisher	Hindawi Limited
series	Computational and Mathematical Methods in Medicine
issn	1748-670X 1748-6718
publishDate	2012-01-01
description	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.
url	http://dx.doi.org/10.1155/2012/639124
work_keys_str_mv	AT enayatollahbakhshi letcontinuousoutcomevariablesremaincontinuous AT brianmcardle letcontinuousoutcomevariablesremaincontinuous AT kazemmohammad letcontinuousoutcomevariablesremaincontinuous AT behjatseifi letcontinuousoutcomevariablesremaincontinuous AT akbarbiglarian letcontinuousoutcomevariablesremaincontinuous
_version_	1716775224114937856

Let Continuous Outcome Variables Remain Continuous

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