Biopharmaceutical Applied Statistics Symposium

Volume 2 Biostatistical Analysis of Clinical Trials
Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-981-13-4007-9
Verlag: Springer Nature Singapore

Buch, Englisch, 245 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g

Reihe: ICSA Book Series in Statistics

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 second of the 3-volume book series. The topics covered include: Statistical Approaches to the Meta-analysis of Randomized Clinical Trials, Collaborative Targeted Maximum Likelihood Estimation to Assess Causal Effects in Observational Studies, Generalized Tests in Clinical Trials, Discrete Time-to-event and Score-based Methods with Application to Composite Endpoint for Assessing Evidence of Disease Activity-Free , Imputing Missing Data Using a Surrogate Biomarker: Analyzing the Incidence of Endometrial Hyperplasia, Selected Statistical Issues in Patient-reported Outcomes, Network Meta-analysis, Detecting Safety Signals Among Adverse Events in Clinical Trials, Applied Meta-analysis Using R, Treatment of Missing Data in Comparative Effectiveness Research, Causal Estimands: A Common Language for Missing Data, Bayesian Subgroup Analysis with Examples, Statistical Methods in Diagnostic Devices, A Question-Based Approach to the Analysis of Safety Data, Analysis of Two-stage AdaptiveSeamless Trial Design, and Multiplicity Problems in Clinical Trials – A Regulatory Perspective.

Zielgruppe

Research

Autoren/Hrsg.

Peace, Karl E.

Menon, Sandeep

Chen, Ding-Geng

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Pharmazeutische Technologie
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Naturwissenschaften Chemie Chemie Allgemein Pharmazeutische Chemie, Medizinische Chemie

Inhaltsverzeichnis

On Statistical Approaches to Meta-analysis of Randomized Clinical Trials.- Collaborative Targeted Maximum Likelihood Estimation to Assess Causal Effects in Observational Studies.- Generalized Tests in Clinical Trials.- Discrete Time-to-event and Score-based Methods with Application to Composite   Endpoint for Assessing Evidence of Disease Activity-Free.- Imputing Missing Data Using a Surrogate Biomarker: Analyzing the Incidence of Endometrial Hyperplasia.- Some Statistical Issues in Patient-reported Outcomes.- Network Meta-analysis.- Detecting Safety Signals Among Adverse Events in Clinical Trials.- Applied Meta-analysis using R.- Treatment of Missing Data in Comparative Effectiveness Research.- Missing Data.- Bayesian Subgroup Analysis with Examples.- Statistical Methods in Diagnostic Devices.- A Question-Based Approach to the Analysis of Safety Data.- Analysis of Two-stage Adaptive Seamless Trial Design.- Multiplicity Problems in Clinical Trials – A Regulatory Perspective.