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Showing entries 42101-42200 out of 55436.
Find Optimal Sampling Locations Based on Spatial Covariate(s)
r-SurfRNix package
Calculate Surface/Image Texture Indexes
Create Datasets with Hidden Images in Residual Plots
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
Empirical Testing of Surrogate Paradox Assumptions
Rank-Based Test to Evaluate a Surrogate Marker
Surrogate Outcome Regression Analysis
Goodness-of-Fit Analysis for Categorical Data using the Surrogate R-Squared
Group Sequential Testing of a Treatment Effect Using a Surrogate Marker
Early Testing for a Treatment Effect using Surrogate Marker Information
Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Surrogate Survival ROC
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
Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests
Correlation of Bivariate Survival Times
Plots Survival Curves Element by Element
Discrete Time Survival and Longitudinal Data Analysis
Deep Neural Networks for Survival Analysis Using 'torch'
Time Series Models for Disease Surveillance
Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Comparing Multiple Survival Functions with Crossing Hazards
Methods for the Evaluation of Survival Models
Explainable Machine Learning in Survival Analysis
Bayesian Flexible Parametric Survival Modelling and Extrapolation
Analysis of Complex Survey Samples
Bootstrap with Survey Data
Canonical Correlation for Survey Data
Cross Validation Based on Survey Design
Tools to Work with Survey Data
Survey Defense Tool
Quickly Explore Complex Survey Data
Network Representations of Attitudes
Neural Network for Complex Survey Data
Survey Planning Tools
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 De…
Estimation of Population Total under Complex Sampling Design
Formatted Survey Estimates
Survey Value of Information
Survival Analysis in Health Economic Evaluation
High Dimensional Survival Data Analysis
IDI and NRI for Comparing Competing Risk Prediction Models with Censored Survival Data
Inference and Prediction in an Illness-Death Model
High Dimensional Survival Data Analysis with Markov Chain Monte Carlo
Multiple Imputation for Missing Covariates in Time-to-Event Data
Survival Analysis
Eliminate the Influence of Co-Expression Genes on Target Genes
High-Level Interface for Survival Analysis and Associated Plots
Clustering Analysis Using Survival Tree and Forest Algorithms
Models for Survival Analysis
Penalised Maximum Likelihood for Survival Analysis Models
Penalised Likelihood for Survival Analysis with Dependent Censoring
Neural Networks to Predict Survival
Nonparametric Estimation of the Distribution of Gap Times for Recurrent Events
Time-Dependent ROC Curve Estimation from Censored Survival Data
Super Learner for Survival Prediction from Censored Data
Evaluate a Longitudinal Surrogate with a Censored Outcome
Survival Support Vector Analysis
Survival Tests for One-Way Layout
Survival Analysis Vignettes and Optional Datasets
Data from all Seasons of Survivor (US) TV Series in Tidy Format
Analysis of Proportional Hazards Model with Sparse Longitudinal Covariates
Model Averaging Prediction of Personalized Survival Probabilities
Predictive Evaluation Metrics in Survival Analysis
Multiple Imputation Method in Survival Analysis
Drawing Survival Curves using 'ggplot2'
Miscellaneous Functions for Survival Data
Design of Clinical Trials with Survival Endpoints Based on Binary Responses
Tools for Flexible Survival Analysis Using Machine Learning
Network Meta-Analysis Combining Survival and Count Outcomes
Objects to Simulate Survival Times
Excel Conversion of R Surival Analysis Output
Parametric Survival Simulation with Parameter Uncertainty
Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and…