Universität zu Köln

Laubender, Ruediger P. and Bender, Ralf (2014). A note on calculating asymptotic confidence intervals for the adjusted risk difference and number needed to treat in the Cox regression model. Stat. Med., 33 (5). S. 798 - 811. HOBOKEN: WILEY. ISSN 1097-0258

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Abstract

Recently, Laubender and Bender (Stat.Med.2010; 29: 851-859) applied the average risk difference (RD) approach to estimate adjusted RD and corresponding number needed to treat measures in the Cox proportional hazards model. We calculated standard errors and confidence intervals by using bootstrap techniques. In this paper, we develop asymptotic variance estimates of the adjusted RD measures and corresponding asymptotic confidence intervals within the counting process theory and evaluated them in a simulation study. We illustrate the use of the asymptotic confidence intervals by means of data of the Dusseldorf Obesity Mortality Study. Copyright (c) 2013 John Wiley & Sons, Ltd.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Laubender, Ruediger P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bender, Ralf UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-445651
DOI:	10.1002/sim.5913
Journal or Publication Title:	Stat. Med.
Volume:	33
Number:	5
Page Range:	S. 798 - 811
Date:	2014
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1097-0258
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SURVIVAL FUNCTION; NNT MEASURES; CURVES; TIME Multiple languages Mathematical & Computational Biology; Public, Environmental & Occupational Health; Medical Informatics; Medicine, Research & Experimental; Statistics & Probability Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/44565