Peace / Menon / Chen | Biopharmaceutical Applied Statistics Symposium | Buch | 978-981-10-7819-4 | sack.de

Buch, Englisch, 426 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 828 g

Reihe: ICSA Book Series in Statistics

Peace / Menon / Chen

Biopharmaceutical Applied Statistics Symposium

Volume 3 Pharmaceutical Applications

Buch, Englisch, 426 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 828 g

Reihe: ICSA Book Series in Statistics

ISBN: 978-981-10-7819-4
Verlag: Springer Nature Singapore


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.
Peace / Menon / Chen Biopharmaceutical Applied Statistics Symposium jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


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.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.