68 research outputs found
Chemical composition and dry matter digestibility of sugar cane oxide treated with calcium
Designing multi-arm multi-stage clinical studies
In the early stages of drug development there often is uncertainty about the most promising among a set of different treatments, different doses of the same treatment or sets of combinations of treatments. An efficient solution to determine which intervention is most promising are multi-arm multi-stage clinical studies (MAMS). In this chapter we will discuss the general concept to designing MAMS studies within the group sequential framework and provide detailed solutions for multi-arm multi-stage studies with normally distributed endpoints in which all promising treatments are continued at the interim analyses. An approach to find optimal designs is discussed as well as asymptotic solutions for binary, ordinal and time-to event endpoints
Field test validation of water film depth (WFD) prediction models for pavement surface drainage
Asymptotically Optimal Allocation for Multiple Comparisons with a Control when Variances are Unknown and Unequal
Numerical Evaluation of Singular Multivariate Normal Distribution
Journal of Statistical Computation and Simulation6811-2
A TIME-COURSE CHARACTERIZATION OF MALE REPRODUCTIVE TOXICITY IN RATS TREATED WITH METHYL METHANESULPHONATE (MMS)
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