![](https://investorshub.advfn.com/uicon/8777.png?cb=1703671008)
Friday, March 15, 2024 8:01:57 PM
From the complaint:
17. Until January 15, 2022, Defendants represented Anavex would use particular
primary and secondary research outcomes for its Avatar study about adult Rett syndrome. On
February 1, 2022, the Company released its Avatar study results. The actual methods and outcomes
used to analyze the Avatar study were different from those previously announced. Analysts
critiqued these methods as being unusual and not clinically validated. Nonetheless, the Company
persisted and claimed it would use these same tests for analysis of its Excellence trial about
pediatric Rett syndrome.
This simply exposes the ignorance of the plaintiff and their council...
The post below is from a preview of a textbook titled "Statistical Design, Monitoring, and Analysis of Clinical Trials"
It clearly shows that analysis of trial data should be done more like a mining expedition than the book report that the plaintiff alleges.
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HomeBiosciencePharmaceutical ScienceClinical Trials - Pharmaceutical ScienceStatistical Design, Monitoring, and Analysis of Clinical Trials
Statistical Design, Monitoring, and Analysis of Clinical Trials
Book
Statistical Design, Monitoring, and Analysis of Clinical Trials
Principles and Methods
ByWeichung Joe Shih, Joseph Aisner
Edition2nd Edition
First Published2021
eBook Published25 October 2021
Pub. LocationNew York
ImprintChapman and Hall/CRC
DOIhttps://doi.org/10.1201/9781003176527
Pages404
eBook ISBN9781003176527
SubjectsBioscience, Mathematics & Statistics, Medicine, Dentistry, Nursing & Allied Health
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Citation
ABSTRACT
Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters.
Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations.
This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.
TABLE OF CONTENTS
Chapter 1|28 pages
Overview
Abstract
Chapter 2|23 pages
Concepts and Methods of Statistical Designs
Abstract
Chapter 3|10 pages
Efficiency with Trade-Offs and Crossover Designs
Abstract
Chapter 4|40 pages
Sample Size and Power Calculations
Abstract
Chapter 5|34 pages
Analysis of Covariance and Stratified Analysis
Abstract
Chapter 6|30 pages
Regression Analysis of Survival Data
Abstract
Chapter 7|13 pages
Sequential Designs and Methods—Part I: Expected Sample Size and Two-Stage Phase II Trials in Oncology
Abstract
Chapter 8|21 pages
Sequential Designs and Methods—Part II: Monitoring Safety and Futility
Abstract
Chapter 9|28 pages
Sequential Designs and Methods—Part III: Classical Group Sequential Trials
Abstract
Chapter 10|32 pages
Monitoring the Maximum Information and Adaptive Sample Size Designs
Abstract
Chapter 11|19 pages
Multiplicity Issues and Methods for Controlling the Type I Error Rate
Abstract
Chapter 12|18 pages
Clinical Trials with Predictive Biomarkers
Abstract
Chapter 13|18 pages
Seamless Phase II/III: Select-the-Winner Design
Abstract
Chapter 14|14 pages
Statistical Significance and p-Values
Abstract
Chapter 15|34 pages
Estimand, Intercurrent Events, and Missing Data
Abstract
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