Simple linear spline
Relative risk for additive gamma model
Additive Random effects model for competing risks data for polygenetic modelling
rate of Occlusion/Thrombosis complication for catheter of HPN patients of Copenhagen
rate of Mechanical (hole/defect) complication for catheter of HPN patients of Copenhagen
Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing
Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence
Concordance Computes concordance and casewise concordance
Aalen frailty model
Block sampling
Cross-odds-ratio, OR or RR risk regression for competing risks
Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data
using marginals that are on logistic form.
If clusters contain more than two times, the algoritm uses a compososite likelihood
based on all pairwise bivariate models.
Liability model for twin data
Bivariate Probit model
Simple linear spline
tables for data frames
Wrapper for easy fitting of Clayton-Oakes or bivariate Plackett models for bivariate survival data
Counts the number of previous events of two types for recurrent events processes
Extract survival estimates from lifetable analysis
Dermal ridges data (families)
Estimation of covariance for bivariate recurrent events with terminal event
Inverse Probability of Censoring Weights
plack Computes concordance for or.cif based model, that is Plackett random effects model
Kaplan-Meier with robust standard errors
Multivariate normal distribution function
Dermal ridges data (monozygotic twins)
Random effects model for competing risks data
Fast recurrent marginal mean when death is possible
Lag operator
Clayton-Oakes model with piece-wise constant hazards
list, head, print, tail
Finds all pairs within a cluster (family)
Convert to timereg object
relev levels for data frames
Concordance test Compares two concordance estimates
Sort data frame
rate of CRBSI for HPN patients of Copenhagen
familyclusterWithProbands.index
Finds all pairs within a cluster (famly) with the proband (case/control)
Derivatives of the bivariate normal cumulative distribution function
Plotting the baslines of stratified Cox
Estimation of concordance in bivariate competing risks data
summary, tables, and correlations for data frames
Cumulative incidence with robust standard errors
Transform that allows condition
Cutting, sorting, rm (removing), rename for data frames
Life table
Life-course plot
For internal use
Fits two-stage binomial for describing depdendence in binomial data
using marginals that are on logistic form using the binomial.twostage funcion, but
call is different and easier and the data manipulation is build into the function.
Useful in particular for family design data.
Fast Cox PH regression
Rate for leaving HPN program for patients of Copenhagen
np data set
Regression for data frames with dutility call
Finds subjects related to same cluster
Fast reshape
Estimate parameters from odds-ratio
Inverse Probability of Censoring Weights
aggregating for for data frames
Estimation of probability of more that k events for recurrent events process
Stutter data set
Multivariate Cumulative Incidence Function example data set
Migraine data
Prostate data set
Simulate from the Clayton-Oakes frailty model
Twostage survival model fitted by pseudo MLE
Simulation of recurrent events data based on cumulative hazards
Survival model for multivariate survival data
Calculate summary statistics grouped by
GOF for Cox PH regression
Stratified baseline graphical GOF test for Cox covariates in PH regression
Split a data set and run function from timereg and aggregate
Twostage survival model for multivariate survival data
Split a data set and run function
Fast approximation
Fast pattern
Proportional odds survival model
GOF for Cox covariates in PH regression
Menarche data set
Predictions from proportional hazards model
Analysis of Multivariate Events
prints Concordance test
Simulate from the Aalen Frailty model
Simulation of recurrent events data based on cumulative hazards II
Set global options for mets
Simulate from the Clayton-Oakes frailty model
Summary for dependence models for competing risks
Classic twin model for quantitative traits
Simulate twin data
Estimation of twostage model with cluster truncation in bivariate situation
BMI data set