Conference Speakers

Post Fisherian likelihood theory and its applications

H-likelihood framework for deep learning survival models

Robust dependence modeling for bivariate survival and semi-competing risks data using the two-parameter BB1 copula

A mixture model for estimating the risk of prostate cancer progression and the fraction of indolent cancer in active surveillance

Reparametrized Firth’s logistic regressions for dose-finding study with the biased-coin design

The fusion of survival analysis and the progress on recent natural language processing

An Accelerated Failure Time Model Based on Mixtures of Log-Normal distributions for Survival Analysis

Bayesian modeling of clustered survival data with semi-competing risks: application to multi-center cancer trials

Recurrence and Asymptotics for joint subtrees distributions in phylogeny trees

Multivariate generalized linear frailty models for clustered competing risk data

Change-point estimation in zero-inflated count time series via a copula-cased Markov model: application to survival analysis

A marriage of Survival Data Analysis and Graphical Models in Statistical Machine Learning

A deflation-adjusted Bayesian information criterion for K-means clustering, and its application to subtyping for survival analysis

A Poisson-likelihood-based approach for the analysis of dependent discrete time competing risks data

Nonparametric Maximum Likelihood Estimation in Semiparametric AFT Modeling

Accelerated failure time modeling with time-dependent covariates: a nonparametric mixture approach

Dynamic prediction for the joint model of a longitudinal biomarker and interval-censored failure time data

Efficient estimation for the multivariate Cox model with missing covariates

Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data