R: Improved Methods for Survival Analysis under Double Truncation

# Improved Methods for Survival Analysis under Double Truncation

## Documentation for package ‘survdt’ version 0.9.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

aids | AIDS incubation data
as.data.frame.Survdt | Create a basic survival object for doubly truncated data.
as.data.frame.Survdt2 | Create a survival object for use with time-varying covariates
coef.coxph_indtrunc | Cox regression under quasi-independent double truncation.
confint.coxph_indtrunc | Cox regression under quasi-independent double truncation.
coxph_indtrunc | Cox regression under quasi-independent double truncation.
is.na.Survdt | Create a basic survival object for doubly truncated data.
is.na.Survdt2 | Create a survival object for use with time-varying covariates
is.npmle | Compute the nonparametric MLE under double truncation
is.Survdt | Create a basic survival object for doubly truncated data.
is.Survdt2 | Create a survival object for use with time-varying covariates
length.Survdt | Create a basic survival object for doubly truncated data.
length.Survdt2 | Create a survival object for use with time-varying covariates
nonprop_sample | Simulated data with non-proportional hazards and independent double truncation
npmle | Compute the nonparametric MLE under double truncation
plot.coxph_pos_indtrunc | Sensitivity analysis for positivity violations in a Cox model with quasi-independent double truncation.
plot.ignorability_indtrunc_test | Test for non-ignorable sampling bias
plot.npmle | Plot estimates from an NPMLE fit
plot.quasiindep_strat_test | Test for dependence between truncation times and the event time or covariates
plot.samplediff_indtrunc_test | Test for survival differences across groups
plot.Survdt | Create a basic survival object for doubly truncated data.
plot.Survdt2 | Create a survival object for use with time-varying covariates
plot_coxsurv | Plot survival or hazard estimates from a Cox model fit
positivity_sens_indtrunc | Sensitivity analysis for positivity violations in a Cox model with quasi-independent double truncation.
print.coxph_indtrunc | Cox regression under quasi-independent double truncation.
print.coxph_pos_indtrunc | Sensitivity analysis for positivity violations in a Cox model with quasi-independent double truncation.
print.ignorability_indtrunc_test | Test for non-ignorable sampling bias
print.npmle | Compute the nonparametric MLE under double truncation
print.quasiindep_ctau_test | Test for dependence between truncation times and the event time
print.quasiindep_strat_test | Test for dependence between truncation times and the event time or covariates
print.samplediff_indtrunc_test | Test for survival differences across groups
residuals.coxph_indtrunc | Cox regression under quasi-independent double truncation.
Survdt | Create a basic survival object for doubly truncated data.
Survdt2 | Create a survival object for use with time-varying covariates
survdt2to1 | Create a survival object for use with time-varying covariates
test_ignorability_indtrunc | Test for non-ignorable sampling bias
test_quasiindep_covariates | Test for dependence between truncation times and the event time or covariates
test_quasiindep_ctau | Test for dependence between truncation times and the event time
test_samplediff_indtrunc | Test for survival differences across groups
time_split | Split rows in a data frame into multiple observations at specified time intervals
vcov.coxph_indtrunc | Cox regression under quasi-independent double truncation.
[.Survdt | Create a basic survival object for doubly truncated data.
[.Survdt2 | Create a survival object for use with time-varying covariates