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Titlebook: Biopharmaceutical Applied Statistics Symposium; Volume 2 Biostatisti Karl E. Peace,Ding-Geng Chen,Sandeep Menon Book 2018 Springer Nature S

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期刊全称Biopharmaceutical Applied Statistics Symposium
期刊简称Volume 2 Biostatisti
影响因子2023Karl E. Peace,Ding-Geng Chen,Sandeep Menon
视频video
发行地址Discusses updated design and analysis methods for biopharmaceutical clinical trials.Includes chapters written by internationally respected authors from academia, government and industry who possess su
学科分类ICSA Book Series in Statistics
图书封面Titlebook: Biopharmaceutical Applied Statistics Symposium; Volume 2 Biostatisti Karl E. Peace,Ding-Geng Chen,Sandeep Menon Book 2018 Springer Nature S
影响因子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, Generalize
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Advancing Interpretation of Patient-Reported Outcomes,ion of the patient’s response by a clinician or anyone else. In this chapter methods of PRO interpretation are discussed, under the assumption that a PRO instrument has already evidenced validity and reliability, in order to lend meaning and import to PRO scores. Specifically, we focus on three ways
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Missing Data,ore the end of a trial or a laboratory test that cannot be obtained. Depending on why and how much data are missing, the results and interpretability of the trial can be jeopardized. Fortunately, there is a vast literature about statistical methods that can handle missing data. Probably the most imp
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Bayesian Subgroup Analysis with Hierarchical Models,ion. To address this unwanted variation, we consider Bayesian hierarchical modeling of subgroups. When considered exchangeable in a one-way hierarchical structure, the subgroup treatment effects have posterior means that shrink the sample estimates toward the overall estimate. The amount of shrinkag
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,A Question-Based Approach to the Analysis of Safety Data,f focus in both the pre-marketing drug development and post-approval life cycle management phases. In the pre-market setting, the primary safety information comes from clinical trials data covering several domains and other supporting information, such as, safety pharmacology, toxicology, historical
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