Fr. 147.00

Biopharmaceutical Applied Statistics Symposium - Volume 3 Pharmaceutical Applications

English · Hardback

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Description

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This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the problems they encounter.
The BASS book series is initially divided into three volumes addressing: 1) Design of Clinical Trials; 2) Biostatistical Analysis of Clinical Trials; and 3) Pharmaceutical Applications.

This book is the third of the 3-volume book series. The topics covered include: Targeted Learning of Optimal Individualized Treatment Rules under Cost Constraints, Uses of Mixture Normal Distribution in Genomics and Otherwise, Personalized Medicine - Design Considerations, Adaptive Biomarker Subpopulation and Tumor Type Selection in Phase III Oncology Trials, High Dimensional Data in Genomics; Synergy or Additivity - The Importance of Defining the Primary Endpoint, Full Bayesian Adaptive Dose Finding Using Toxicity Probability Interval (TPI), Alpha-recycling for the Analyses of Primary and Secondary Endpoints of Clinical Trials, Expanded Interpretations of Results of Carcinogenicity Studies of Pharmaceuticals, Randomized Clinical Trials for Orphan Drug Development, Mediation Modeling in Randomized Trials with Non-normal Outcome Variables, Statistical Considerations in Using Images in Clinical Trials, Interesting Applications over 30 Years of Consulting, Uncovering Fraud, Misconduct and OtherData Quality Issues in Clinical Trials, Development and Evaluation of High Dimensional Prognostic Models, and Design and Analysis of Biosimilar Studies.

List of contents

Part I: Personalized Medicine.- 1 Targeted Learning of Optimal Individualized Treatment Rules under Cost Constraints.- 2 Uses of Mixture Normal Distribution in Genomics and Otherwise.- 3 Personalized Medicine - Design Considerations.- 4 Adaptive Biomarker Subpopulation and Tumor Type Selection in Phase III Oncology Trials.- 5 High Dimensional Data in Genomics.- Part II: Novel Applications.- 6 Synergy or Additivity - The Importance of Defining the Primary Endpoint.- 7 Full Bayesian Adaptive Dose Finding using Toxicity Probability Interval (TPI).- 8 Alpha-recycling for the Analyses of Primary and Secondary Endpoints of Clinical Trials.- 9 Expanded Interpretations of Results of Carcinogenicity Studies of Pharmaceuticals.- 1 Clinical Trials in Orphan Drug Development.- 11 Mediation Modeling in Randomized Trials with Non-normal Outcome Variables.- 12 Statistical Considerations in Using Images in Clinical Trials.- 13 Interesting Applications over 30 Years of Consulting.- 14 Uncovering Fraud, Misconduct and Other Data Quality Issues in Clinical Trials.- 15 Development and Evaluation of High Dimensional Prognostic Models.- 16 Design and Analysis of Biosimilar Studies.

Summary

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments – particularly biopharmaceutical clinical trials.  The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the problems they encounter.

The BASS book series is initially divided into three volumes addressing: 1) Design of Clinical Trials; 2) Biostatistical Analysis of Clinical Trials; and 3) Pharmaceutical Applications.  

This book is the third of the 3-volume book series. The topics covered include: Targeted Learning of Optimal Individualized Treatment Rules under Cost Constraints, Uses of Mixture Normal Distribution in Genomics and Otherwise, Personalized Medicine – Design Considerations, Adaptive Biomarker Subpopulation and Tumor Type Selection in Phase III Oncology Trials, High Dimensional Data in Genomics; Synergy or Additivity - The Importance of Defining the Primary Endpoint, Full Bayesian Adaptive Dose Finding Using Toxicity Probability Interval (TPI), Alpha-recycling for the Analyses of Primary and Secondary Endpoints of Clinical Trials, Expanded Interpretations of Results of Carcinogenicity Studies of Pharmaceuticals, Randomized Clinical Trials for Orphan Drug Development,  Mediation Modeling in Randomized Trials with Non-normal Outcome Variables, Statistical Considerations in Using Images in Clinical Trials, Interesting Applications over 30 Years of Consulting, Uncovering Fraud, Misconduct and OtherData Quality Issues in Clinical Trials, Development and Evaluation of High Dimensional Prognostic Models, and Design and Analysis of Biosimilar Studies.

Product details

Assisted by Ding-Gen Chen (Editor), Ding-Geng Chen (Editor), Sandeep Menon (Editor), Karl E. Peace (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 01.01.2018
 
EAN 9789811078194
ISBN 978-981-10-7819-4
No. of pages 426
Dimensions 161 mm x 242 mm x 29 mm
Weight 816 g
Illustrations XV, 426 p. 74 illus., 46 illus. in color.
Series ICSA Book Series in Statistics
ICSA Book Series in Statistics
Subjects Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

B, Epidemiology & medical statistics, Statistics, bioinformatics, Mathematics and Statistics, Life sciences: general issues, Statistics for Life Sciences, Medicine, Health Sciences, Statistics in Life Sciences, Medicine, Health Sciences, Biostatistics

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