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Methods for Censored Survival Time Data
This chapter deals with the survival time data for which the inference cannot be made by any of the parametric and nonparametric methods that we...
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Parametric and Non-parametric Bayesian Imputation for Right Censored Survival Data
A common feature of much survival data is censoring due to incompletely observed lifetimes. Survival analysis methods have been designed to take...
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Modeling Negatively Skewed Survival Data in Accelerated Failure Time and Correlated Frailty Models
Negatively skewed survival data arise in public health and in statistical research. Commonly used distributions are not always well suited to this...
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Empirical likelihood MLE for joint modeling right censored survival data with longitudinal covariates
Up to now, almost all existing methods for joint modeling survival data and longitudinal data rely on parametric/semiparametric assumptions on...
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Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring
We consider a novel class of semiparametric joint models for multivariate longitudinal and survival data with dependent censoring. In these models,...
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Mortality prediction using survival energy models with functional data analysis
The survival energy model (SEM), as originally introduced by Shimizu et al. (ASTIN Bull 51(1):191–219, 2020), is designed to characterize human...
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Emerging Topics in Modeling Interval-Censored Survival Data
This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical...
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Quantile forward regression for high-dimensional survival data
Despite the urgent need for an effective prediction model tailored to individual interests, existing models have mainly been developed for the mean...
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A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints
The identification of prognostic and predictive biomarker signatures is crucial for drug development and providing personalized treatment to cancer...
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Joint Modelling of Longitudinal and Competing Risks Survival Data
Biomedical studies may collect longitudinal and survival data in follow-up studies. In randomised controlled trials for malaria treatment,...
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Bayesian Modeling of Survival Data in the Presence of Competing Risks with Cure Fractions and Masked Causes
In handling the presence of multiple competing risks, methods such as the multivariate failure times model, mixture model, subdistribution model...
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Semiparametric Density Ratio Model for Survival Data with a Cure Fraction
The paper proposes a class of semiparametric transformation models for survival data with a cure fraction. Particularly, we assume a semiparametric...
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Flexible two-piece distributions for right censored survival data
An important complexity in censored data is that only partial information on the variables of interest is observed. In recent years, a large family...
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Nonparametric Survival Analysis
Survival or time-to-event data are ubiquitous in clinical trials research. The presence of censoring requires specialized methods for the analysis of...
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Information matrix equivalence in the presence of censoring: a goodness-of-fit test for semiparametric copula models with multivariate survival data
Various goodness-of-fit tests are designed based on the so-called information matrix equivalence : if the assumed model is correctly specified, two...
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Survival Trees and Direct Adjusted Survival Curves—Prediction of Survival Probabilities
There are two main methods of constructing survival trees. The first method is based on measures of heterogeneity of survival functions in individual...
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Identifying Outlying and Influential Clusters in Multivariate Survival Data Models
In regression analysis, diagnostic statistics serve to assess the quality of fit of the model to data and investigate if there are observations that...
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Overview of Historical Developments in Modeling Interval-Censored Survival Data
This chapter serves as an overview of the historical development of the methods for the analysis of interval-censored survival data. It begins with a...
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Median regression models for clustered, interval-censored survival data - An application to prostate surgery study
Genitourinary surgeons and oncologists are particularly interested in whether a robotic surgery improves times to Prostate Specific Antigen (PSA)...
