2009
DOI: 10.1016/j.jns.2009.07.017
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Statistical methods for the analysis of relapse data in MS clinical trials

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Cited by 49 publications
(72 citation statements)
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“…18 We assessed relapse rate using an Andersen-Gill model 19 for recurrent events and assessed time to confirmed EDSS score progression using Cox regression analysis.…”
Section: Genotype Assessmentmentioning
confidence: 99%
“…18 We assessed relapse rate using an Andersen-Gill model 19 for recurrent events and assessed time to confirmed EDSS score progression using Cox regression analysis.…”
Section: Genotype Assessmentmentioning
confidence: 99%
“…A subsequent publication recommended negative binomial regression as the best technique for the analysis of the overdispersed Poisson distributed variable, relapse rate. 15 Therefore, the negative binomial method, without adjustment for strata, is presented for all such analyses in this paper. The treatment effect and a dispersion parameter were used to model the number of relapses with an offset variable reflecting the log of the duration over which the subject was followed.…”
Section: Methodsmentioning
confidence: 99%
“…The most durable efficacy measures are annualised relapse rate (ARR) [19], probability of or time to sustained disability progression (increase in Expanded Disability Status Scale [EDSS] sustained for 3 or 6 months) [20] and MRI measures of gadolinium (Gad)-enhancing or T2-weighted lesions [21]. More recently measures of whole brain atrophy (believed to be a surrogate marker of long term disability) have emerged [22].…”
mentioning
confidence: 99%