Improved Methods for Survival Analysis under Double Truncation

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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