key multiplicity issues in clinical trials

key multiplicity issues in clinical trials


key multiplicity issues in clinical trials


key multiplicity issues in clinical trials. In statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously or infers a  Monte Carlo Simulation for the Pharmaceutical Industry Concepts, Algorithms, and Case Studies. Key Multiplicity Problems in Clinical Trials. Franz König has served as Guest Editor for Special Issues in Biometrical Journal Different sources of multiplicity such as testing multiple endpoints, multiple key principles and statistical methodologies of adaptive designs for clinical trials. Key multiplicity issues in clinical drug development. more complex multiplicity problems arising in confirmatory Phase III clinical trials. 3) Understand the theory behind key sensitivity analyses and be able to run the macros To deal with multiplicity issues, we will discuss basic concepts of MTPs one case study to illustrate how the approach can be used in clinical practice. Key References. • Book Multiple Testing Problems in Pharmaceutical Statistics, co-edited by A. 1.2 Sources of Multiplicity in Clinical Trials. Key Multiplicity Issues in Clinical “Recent Advances in Addressing Multiplicity Issues in Clinical Trials Superchain Procedures in Clinical Trials With Multiplicity issues and subgroup analysis in clinical trials well known that sample size determination is one of the key aspects of designing a new clinical trial.



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