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Biostatistics in biopharmaceutical r...

Chen, Ding-Geng.

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Biostatistics in biopharmaceutical research and development.. Volume 1,. Clinical trial design

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biostatistics in biopharmaceutical research and development./ edited by Ding-Geng Chen.
remainder title:	Clinical trial design
other author:	Chen, Ding-Geng.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxiv, 344 p. :ill., digital ;24 cm.
[NT 15003449]:	Bias and Randomization in Clinical Trials: 1980s - 2020s - 2060s -- The Markov Model for Survival Trials at 35 Years-Old -- Absolute Power Corrupts Absolutely: A Review of the Use of Unconditional Probabilities in the Planning of Clinical Trials -- Design of Clinical Trials with the Desirability of Outcome Ranking Methodology -- Benefit:Risk Assessments during Clinical Trials: A Prediction Approach Using the Desirability of Outcome Ranking (DOOR) -- The Power of Integration: How the 2-in-1 Clinical Trial Design is Changing the Future of Drug Development -- A Unified Bayesian Decision Rule-Based Approach for Bayesian Design of Clinical Trials Using Historical Data -- Group Sequential Design Under Non-proportional Hazards: Methodologies and Examples -- Multiple Testing in Group Sequential Design -- Plan per-protocol (PP) causal inference analysis addressing intercurrent events following the targeted learning roadmap -- Maximum Tolerated Imbalance Randomization: Theory and Practice -- Response-adaptive randomization designs based on optimal allocation proportion.
Contained By:	Springer Nature eBook
Subject:	Clinical trials - Design. -
Online resource:	https://doi.org/10.1007/978-3-031-65948-5
ISBN:	9783031659485

Biostatistics in biopharmaceutical research and development.. Volume 1,. Clinical trial design
Biostatistics in biopharmaceutical research and development.Volume 1,Clinical trial design[electronic resource] /Clinical trial designedited by Ding-Geng Chen. - Cham :Springer Nature Switzerland :2024. - xxiv, 344 p. :ill., digital ;24 cm.

Bias and Randomization in Clinical Trials: 1980s - 2020s - 2060s -- The Markov Model for Survival Trials at 35 Years-Old -- Absolute Power Corrupts Absolutely: A Review of the Use of Unconditional Probabilities in the Planning of Clinical Trials -- Design of Clinical Trials with the Desirability of Outcome Ranking Methodology -- Benefit:Risk Assessments during Clinical Trials: A Prediction Approach Using the Desirability of Outcome Ranking (DOOR) -- The Power of Integration: How the 2-in-1 Clinical Trial Design is Changing the Future of Drug Development -- A Unified Bayesian Decision Rule-Based Approach for Bayesian Design of Clinical Trials Using Historical Data -- Group Sequential Design Under Non-proportional Hazards: Methodologies and Examples -- Multiple Testing in Group Sequential Design -- Plan per-protocol (PP) causal inference analysis addressing intercurrent events following the targeted learning roadmap -- Maximum Tolerated Imbalance Randomization: Theory and Practice -- Response-adaptive randomization designs based on optimal allocation proportion.

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in statistical methodologies in biopharmaceutical applications and FDA regulations. This book honors 80 years of contributions and dedication of the Deming Conference in biostatistics, and biopharmaceutical clinical trial methodology and applications. All chapters are contributed by world-class and prominent Deming speakers, who've contributed their cutting-edge research and developments to the community. Volume 1 covers Historical Milestones in Clinical Trial Design, FDA biopharmaceutical design guidance, and emerging development in Clinical Trial Design Methodology. This book aims to booster research, education, and training in biostatistics and in biopharmaceutical research and development.

ISBN: 9783031659485

Standard No.: 10.1007/978-3-031-65948-5doiSubjects--Topical Terms:

2184916
Clinical trials
--Design.

LC Class. No.: R853.C55

Dewey Class. No.: 615.50724

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505 0 $a Bias and Randomization in Clinical Trials: 1980s - 2020s - 2060s -- The Markov Model for Survival Trials at 35 Years-Old -- Absolute Power Corrupts Absolutely: A Review of the Use of Unconditional Probabilities in the Planning of Clinical Trials -- Design of Clinical Trials with the Desirability of Outcome Ranking Methodology -- Benefit:Risk Assessments during Clinical Trials: A Prediction Approach Using the Desirability of Outcome Ranking (DOOR) -- The Power of Integration: How the 2-in-1 Clinical Trial Design is Changing the Future of Drug Development -- A Unified Bayesian Decision Rule-Based Approach for Bayesian Design of Clinical Trials Using Historical Data -- Group Sequential Design Under Non-proportional Hazards: Methodologies and Examples -- Multiple Testing in Group Sequential Design -- Plan per-protocol (PP) causal inference analysis addressing intercurrent events following the targeted learning roadmap -- Maximum Tolerated Imbalance Randomization: Theory and Practice -- Response-adaptive randomization designs based on optimal allocation proportion.
520 $a The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in statistical methodologies in biopharmaceutical applications and FDA regulations. This book honors 80 years of contributions and dedication of the Deming Conference in biostatistics, and biopharmaceutical clinical trial methodology and applications. All chapters are contributed by world-class and prominent Deming speakers, who've contributed their cutting-edge research and developments to the community. Volume 1 covers Historical Milestones in Clinical Trial Design, FDA biopharmaceutical design guidance, and emerging development in Clinical Trial Design Methodology. This book aims to booster research, education, and training in biostatistics and in biopharmaceutical research and development.
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