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Provides an introduction to the various statistical techniquesinvolved in medical research and drug development with a focus onestimating the success probability of an experiment Success Probability Estimation with Applications to ClinicalTrials details the use of success probability estimation inboth the planning and analyzing of clinical trials and in widelyused statistical tests. Devoted to both statisticians and non-statisticians who areinvolved in clinical trials, Part I of the book presents newconcepts related to success probability estimation and theirusefulness in clinical trials, and…mehr

Produktbeschreibung
Provides an introduction to the various statistical techniquesinvolved in medical research and drug development with a focus onestimating the success probability of an experiment Success Probability Estimation with Applications to ClinicalTrials details the use of success probability estimation inboth the planning and analyzing of clinical trials and in widelyused statistical tests. Devoted to both statisticians and non-statisticians who areinvolved in clinical trials, Part I of the book presents newconcepts related to success probability estimation and theirusefulness in clinical trials, and each section begins with anon-technical explanation of the presented concepts. Part II delvesdeeper into the techniques for success probability estimation andfeatures applications to both reproducibility probabilityestimation and conservative sample size estimation. Success Probability Estimation with Applications to ClinicalTrials: * Addresses the theoretical and practical aspects of thetopic and introduces new and promising techniques in thestatistical and pharmaceutical industries * Features practical solutions for problems that are oftenencountered in clinical trials * Includes success probability estimation for widely usedstatistical tests, such as parametric and nonparametric models * Focuses on experimental planning, specifically the sample sizeof clinical trials using phase II results and data for planningphase III trials * Introduces statistical concepts related to success probabilityestimation and their usefulness in clinical trials Success Probability Estimation with Applications to ClinicalTrials is an ideal reference for statisticians andbiostatisticians in the pharmaceutical industry as well asresearchers and practitioners in medical centers who are activelyinvolved in health policy, clinical research, and the design andevaluation of clinical trials.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
DANIELE DE MARTINI, PhD, is Assistant Professor in theDepartment of Statistics and Quantitative Methods at the Universityof Milano-Bicocca in Italy. He is also a member of the AmericanStatistical Association, Society for Clinical Trials, and ItalianStatistical Society.