Biostatistics in Biopharmaceutical Research and Development
portes grátis
Biostatistics in Biopharmaceutical Research and Development
Clinical Trial Design, Volume 1
Chen, Ding-Geng
Springer International Publishing AG
01/2025
342
Dura
9783031659478
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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.
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Biopharmaceuticals;clinical trials;biostatistics;statistics;public health
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
