Ding-Geng Chen (Din)
Clinical Trial Data Analysis Using R and SAS
Ding-Geng Chen (Din)
Clinical Trial Data Analysis Using R and SAS
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This book will provide a thorough presentation of clinical trial methodology with detailed step-by-step illustrations on implementation in software R/SAS. The examples will be based on actual experience of the authors in many areas of clinical drug development. Actual examples of clinical trials will be presented and after understanding the appl
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This book will provide a thorough presentation of clinical trial methodology with detailed step-by-step illustrations on implementation in software R/SAS. The examples will be based on actual experience of the authors in many areas of clinical drug development. Actual examples of clinical trials will be presented and after understanding the appl
Produktdetails
- Produktdetails
- Chapman & Hall/CRC Biostatistics Series
- Verlag: Taylor & Francis Ltd
- 2 ed
- Seitenzahl: 378
- Erscheinungstermin: 18. Dezember 2020
- Englisch
- Abmessung: 155mm x 234mm x 26mm
- Gewicht: 614g
- ISBN-13: 9780367736217
- ISBN-10: 0367736217
- Artikelnr.: 61584648
- Chapman & Hall/CRC Biostatistics Series
- Verlag: Taylor & Francis Ltd
- 2 ed
- Seitenzahl: 378
- Erscheinungstermin: 18. Dezember 2020
- Englisch
- Abmessung: 155mm x 234mm x 26mm
- Gewicht: 614g
- ISBN-13: 9780367736217
- ISBN-10: 0367736217
- Artikelnr.: 61584648
Ding-Geng (Din) Chen, Ph.D., is a professor at the University of Rochester Medical Center. Dr. Chen has vast experience in biostatistical research and clinical trial development and methodology. He has authored or co-authored more than 100 journal publications on biostatistical methodologies and applications. He is also the co-author (with Dr. Peace) of Clinical Trial Methodology and Clinical Trial Data Analysis Using R and a co-editor (with Drs. Sun and Peace) of Interval-Censored Time-to-Event Data: Methods and Applications. He is a member of the American Statistical Association, chair for the STAT section of the American Public Health Association, an associate editor of the Journal of Statistical Computation and Simulation, and an editorial board member of several other journals. Karl E. Peace, Ph.D., is the Georgia Cancer Coalition Distinguished Cancer Scholar, senior research scientist, and professor of biostatistics in the Jiann-Ping Hsu College of Public Health at Georgia Southern University. He is also an adjunct professor of biostatistics at the VCU School of Medicine. Dr. Peace is a reviewer or editor of several journals, the founding editor of the Journal of Biopharmaceutical Statistics, and a fellow of the American Statistical Association. He has authored or co-authored over 150 articles and 10 books. He has received numerous awards, including the University System of Georgia Board of Regents' Alumni Hall of Fame Award, the First President's Medal for outstanding contributions to Georgia Southern University, and distinguished meritorious service awards from the American Public Health Association and other organizations. In 2012, the American Statistical Association created the Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society.
Preface. Introduction to R. Overview of Clinical Trials. Sample Size
Determination in Clinical Trials. Two Treatment Comparisons in Clinical
Trials. Multi-Arm Comparisons in Clinical Trials (ANOVA). Treatment
Comparisons Incorporating Covariates in Clinical Trials (ANCOVA). Clinical
Trials with Time-to-Events Endpoints. Clinical Trials with Repeated
Measures. Meta-Analysis in Clinical Trials. Bayesian Methods in Clinical
Trials. Group Sequential Designs and Monitoring in Clinical Trials.
Bioequivalence Clinical Trials. Monitoring Clinical Trials for Adverse
Events.
Determination in Clinical Trials. Two Treatment Comparisons in Clinical
Trials. Multi-Arm Comparisons in Clinical Trials (ANOVA). Treatment
Comparisons Incorporating Covariates in Clinical Trials (ANCOVA). Clinical
Trials with Time-to-Events Endpoints. Clinical Trials with Repeated
Measures. Meta-Analysis in Clinical Trials. Bayesian Methods in Clinical
Trials. Group Sequential Designs and Monitoring in Clinical Trials.
Bioequivalence Clinical Trials. Monitoring Clinical Trials for Adverse
Events.
Preface. Introduction to R. Overview of Clinical Trials. Sample Size
Determination in Clinical Trials. Two Treatment Comparisons in Clinical
Trials. Multi-Arm Comparisons in Clinical Trials (ANOVA). Treatment
Comparisons Incorporating Covariates in Clinical Trials (ANCOVA). Clinical
Trials with Time-to-Events Endpoints. Clinical Trials with Repeated
Measures. Meta-Analysis in Clinical Trials. Bayesian Methods in Clinical
Trials. Group Sequential Designs and Monitoring in Clinical Trials.
Bioequivalence Clinical Trials. Monitoring Clinical Trials for Adverse
Events.
Determination in Clinical Trials. Two Treatment Comparisons in Clinical
Trials. Multi-Arm Comparisons in Clinical Trials (ANOVA). Treatment
Comparisons Incorporating Covariates in Clinical Trials (ANCOVA). Clinical
Trials with Time-to-Events Endpoints. Clinical Trials with Repeated
Measures. Meta-Analysis in Clinical Trials. Bayesian Methods in Clinical
Trials. Group Sequential Designs and Monitoring in Clinical Trials.
Bioequivalence Clinical Trials. Monitoring Clinical Trials for Adverse
Events.