Bayesian approaches in oncology using R and OpenBUGS /

Bhattacharjee, Atanu,

Bayesian approaches in oncology using R and OpenBUGS / Atanu Bhattacharjee. - 1st - FL : CRC Press, c2021. - 1 online resource : illustrations (black and white).

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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9781000330069 (ePub ebook) : £44.99 9781000329988 (PDF ebook) : £44.99 9781000330021 (Mobipocket ebook) : £44.99 9780429329449 (ebook) : £44.99

10.1201/9780429329449 doi

9781000330069 Ingram Content Group

GBC0G4804 bnb


Bayesian statistical decision theory.
Cancer--Research--Statistical methods.
Oncology--Research--Statistical methods.
R (Computer program language)--Statistical methods.

519.542 / BHA

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