Evaluation of Surrogate Endpoints in Clinical Trials

Flexible Evaluation of Surrogate Markers with Bayesian Model
Averaging

Estimation of the Proportion of Treatment Effect Explained by
Surrogate Outcome Information
R package SurrogateOutcome version 1.1

Rank-Based Test to Evaluate a Surrogate Marker

R package SurrogateRegression version 0.6.0.1

Goodness-of-Fit Analysis for Categorical Data using the
Surrogate R-Squared

Early Testing for a Treatment Effect using Surrogate Marker
Information

Evaluation of Failure Time Surrogate Endpoints in Individual
Patient Data Meta-Analyses
R package surrosurv version 1.1.26

LaTeX descriptive statistic reporting for survey data

Cox Non-Proportional Hazards Model with Time-Varying
Coefficients

Inference for Model-Free Between-Group Parameters for Censored
Survival Data

Survival Data Analysis using Average Hazard

Estimators of Prediction Accuracy for Time-to-Event Data

Two-Sample Tests Based on Differences of Kaplan-Meier Curves

Concordance Based Bootstrap Methods for Outlier Detection in
Survival Analysis

C-Statistics for Risk Prediction Models with Censored Survival
Data

Compares Cox and Survival Random Forests to Quantify
Nonlinearity

Plots Survival Curves Element by Element

Discrete Time Survival and Longitudinal Data Analysis

Time Series Models for Disease Surveillance

Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena

Comparing Multiple Survival Functions with Crossing Hazards

Explainable Machine Learning in Survival Analysis

Relative Survival, AER and SMR Based on French Death Rates

Mapping the Prevalence of Binary Indicators using Survey Data in
Small Areas

Survey Standard Error Estimation for Cumulated Estimates and
their Differences in Complex Panel Designs
R package surveysd version 1.3.1

Survival Analysis in Health Economic Evaluation

IDI and NRI for Comparing Competing Risk Prediction Models with
Censored Survival Data
R package survIDINRI version 1.1-2

Inference and Prediction in an Illness-Death Model

High Dimensional Survival Data Analysis with Markov Chain Monte
Carlo