Bayesian approaches in oncology using R and OpenBUGS / Atanu Bhattacharjee.
Material type:
TextPublication details: FL : CRC Press, c2021.Edition: 1stDescription: 1 online resource : illustrations (black and white)ISBN: - 9781000330069 (ePub ebook) :
- 9781000329988 (PDF ebook) :
- 9781000330021 (Mobipocket ebook) :
- 9780429329449 (ebook) :
- 519.542 23 BHA
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General Books
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CUTN Central Library Sciences | Non-fiction | 519.542 BHA (Browse shelf(Opens below)) | Available | 47484 |
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| 519.54 MOU Statistical inference for engineers and data scientists / | 519.54 SME Applied nonparametric statistical methods / | 519.542 BAR Bayesian reasoning and machine learning / | 519.542 BHA Bayesian approaches in oncology using R and OpenBUGS / | 519.542 DAM Bayesian theory and applications / | 519.542 GAV Decision making and optimization : | 519.544 LEH Theory of point estimation / |
Academic
Part 1- Bayesian in Clinical Research Chapter 1- Introduction to R and Open BUGS Chapter 2- Sample size determination Chapter 3- Study Design-I Chapter 4- Study Design-II Chapter 5- Optimum Biological Dose Selection Part 2- Bayesian in Time-to-Event Data Analysis Chapter 6- Survival Analysis Chapter 7- Competing Risk Data Analysis Chapter 8- Frailty Data Analysis Chapter 9- Relative Survival Analysis Part 3- Bayesian in Longitudinal Data Analysis Chapter 10- Longitudinal Data Analysis Chapter 11- Missing Data Analysis Chapter 12- Joint Longitudinal and Survival Analysis Chapter 13- Covariance modelling Part 4- Bayesian in Diagnostics Test Statistics Chapter 14- Bayesian Inference in Mixed-Effect Model Chapter 15- Concordance Analysis Chapter 16- High Dimensional Data Analysis
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