Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2579
Title: Dynamic modelling of a challenge-escalation cross-over study of treatment of capsaicin-induced coughing
Authors: LINDSEY, James 
Stevens, JW
Jones, B
Jackson, D
Issue Date: 2002
Publisher: JOHN WILEY & SONS LTD
Source: STATISTICS IN MEDICINE, 21(20). p. 3023-3033
Abstract: in a complex seven-period cross-over trial to study the effects of a drug in attenuating capsaicin-induced coughing, counts of numbers of coughs were recorded 32 times in each period. Subjects were subjected to four escalating levels of capsaicin at each of one and five hours after treatment, with counts of coughs being recorded in four one-minute intervals at each level. Such longitudinal count studies often show considerable individual variability about any regression curve that might be fitted. We develop a non-linear autoregressive model for such count data that also allows for overdispersion. Copyright (C) 2002 John Wiley Sons, Ltd.
Notes: Univ Limburg, B-3590 Diepenbeek, Belgium. GlaxoSmithKline, Harlow, Essex, England. Astra R&D, Loughborough, Leics, England.Lindsey, JK, Univ Limburg, B-3590 Diepenbeek, Belgium.
Keywords: autoregression; count data; cross-over study; non-linear regression; overdispersion
Document URI: http://hdl.handle.net/1942/2579
ISSN: 0277-6715
e-ISSN: 1097-0258
DOI: 10.1002/sim.1248
ISI #: 000178591400003
Category: A1
Type: Journal Contribution
Validations: ecoom 2003
Appears in Collections:Research publications

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