Simon Schneider

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Internal pilot studies are a popular design feature to address uncertainties in the sample size calculations caused by vague information on nuisance parameters. Despite their popularity, only very recently blinded sample size reestimation procedures for trials with count data were proposed and their properties systematically investigated. Although blinded(More)
Counts of events are increasingly common as primary endpoints in randomized clinical trials. With between-patient heterogeneity leading to variances in excess of the mean (referred to as overdispersion), statistical models reflecting this heterogeneity by mixtures of Poisson distributions are frequently employed. Sample size calculation in the planning of(More)
BACKGROUND Effective and safe management of oral anticoagulant treatment (OAT) requires a high level of patient knowledge and adherence. The aim of this study was to assess patient knowledge about OAT and factors associated with patient knowledge. METHODS This is a baseline survey of a cluster-randomized controlled trial in 22 general practices with an(More)
BACKGROUND AKI frequently develops in sepsis patients, significantly decreasing the overall prognosis. There are currently no diagnostic markers available which reliably predict the prognosis of sepsis-associated AKI. Recently, ATP content of CD4+ T cells (ATP_CD4) has been shown to correlate with survival in sepsis. The aim of the study was to determine(More)
Blinded sample size re‐estimation in clinical trials with time‐to‐event or recurrent event endpoints Two‐stage designs are popular means to maintain the power of a hypothesis tests at a pre‐ specified level independent of the size of the nuisance parameters by estimating the nuisance parameters from data of the first design stage and adjusting the sample(More)
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