The predictors of survival and readmission in heart failure have not yet been looked at together, especially in a risk modelling approach. To do this a 10 yr cohort from the Royal Adelaide hospital was used that recorded socioeconomic, comorbidity, pharmacological, echo and blood test results (biochemistries) predictors with time to death and every subsequent readmission in separate datasets. This study employs bootstrapping, statistical programming and advanced statistical methods in prognostic risk modelling, survival analysis and recurrent event survival analysis. This study employs these methods to elucidate predictors of survival and readmission in heart failure. This book is useful for cardiologists and other clinicians as well as health service delivery planners. It is also useful as a case study for epidemiologists and biostatisticians and those with a general interest in cardiology and heart failure.