Cox Models by Likelihood Based Boosting for a Single Survival
Endpoint or Competing Risks
R package CoxBoost version 1.5.1

Cox Regression with Dependent Error in Covariates

Variable Selection for Cox's Model with Interval-Censored Data

Robust Likelihood Ratio Test and Confidence Intervals for the
Cox Model

A Model-X Knockoff Method for Genome-Wide Survival Association
Analysis
R package CoxMK version 0.1.1

Cox Regression with Missing not at Random Failure Indicators

Cox Regression with Firth's Penalized Likelihood

Time-to-Event Data Analysis with Missing Survival Times

Stochastic Gradient Descent log-Likelihood Estimation in Cox
Proportional Hazards Model
R package coxphSGD version 0.2.1

Cox Regression (Proportional Hazards Model) with Multiple Causes
and Mixed Effects
R package CoxPlus version 1.5.7

Fit Robustly Proportional Hazards Regression Model

Memory-Efficient Cox Proportional Hazards via Streaming
Newton-Raphson

Radio Observations of the Pulse Profiles and Dispersion Measures
of Twelve Pulsars
R package cp1919 version 0.1

Confirmatory Path Analysis Through 'd-sep' Tests

Changepoint Additive Models for Time Series Omics Data

Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
Associations

The Closure Principle Computational Approach Test

Concordance Probability Estimates in Survival Analysis

Classification with Parallel Factor Analysis

Association Between Methylation and a Phenotype of Interest

CpG Filtering Method Based on Intra-Class Correlation
Coefficients

Consolidates Information from the Federal Government Payment
Card

Sequential and Batch Change Detection Using Parametric and
Nonparametric Methods
R package cpm version 2.3

Fitting Semiparametric Cumulative Probability Models for Big
Data

Correction of the P-Value after Multiple Coding in Generalized
Linear Models
R package CPMCGLM version 1.2

Calculation of Log2 Counts per Million Cutoff from ERCC Controls

Conceptual Properties Norming Studies as Parameter Estimation
R package CPNCoverageAnalysis version 1.1.0

Detection of Multiple Changes in Slope in Univariate Time-Series