The following pages link to Intcox (Q20089):
Displaying 12 items.
- Proportional hazards regression with interval censored data using an inverse probability weight (Q719044) (← links)
- A Bayesian proportional hazards model for general interval-censored data (Q747382) (← links)
- New statistical software for the proportional hazards model with current status data (Q1023772) (← links)
- Bayesian proportional hazards model for current status data with monotone splines (Q1658315) (← links)
- Performance of parametric survival models under non-random interval censoring: a simulation study (Q1800058) (← links)
- A two-stage estimation algorithm for a type of current status data (Q1936579) (← links)
- Different approaches for modeling grouped survival data: a mango tree study (Q2260082) (← links)
- A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data (Q2805207) (← links)
- A three-groups model for high-throughput survival screens (Q2827215) (← links)
- Clinical Trial Data Analysis Using R and SAS, Second Edition (Q4632503) (← links)
- Tutorial on methods for interval-censored data and their implementation in R (Q4970923) (← links)
- ICBayes: a package of Bayesian semiparametric regression for intervel-censored data (Q5082936) (← links)
