High-Performance Open-Source Archive
Enhancements
as_ggsurvplot_df(), even when method = "km"
was used. Additionally, with multiple imputation, the correctly pooled
values are now included, instead of nothing.ggplot2 based functions, so that the weird
messages about unused labels no longer appear with newer versions of
ggplot2.Bug Fixes
plot.adjustedsurv() with the times argument in
case a dataset with multiple imputation was supplied.cuminc()
function when using adjustedcif() with
method="aalen_johansen". Essentially, the step functions
were evaluated at the time before the actual step, so that any results
obtained by using the previous versions were off by one time step. With
many points in time the changes should be small, but with only a few
events there might be substantial differences.adjustedcif() was used with non-competing risks data and
method="iptw_pseudo", method="aiptw_pseudo" or
method="direct_pseudo".New features
extend_to_last argument to
method="iptw_km" in adjustedsurv(), which
allows users to draw the IPTW survival curves up to the last observed
point in time per group whether that time was censored or not.
Unpublished simulation studies have shown that estimates beyond the last
event time are very unstable, which is why in previous versions of this
package (<= 0.11.2), this argument did not exist, but was essentially
set to FALSE. To get the same results as with old versions,
set this argument to FALSE.Refactor:
difference and
ratio argument from adjusted_rmst() and
adjusted_rmtl()Bug Fixes
censoring_model
argument being ignored when using method="aiptw" in
adjustedcif().risk_table=TRUE with
risk_table_type="n_events" or
risk_table_type="n_cens", events or censored observations
at the same point in time were mistakenly excluded (a <
was used internally instead of <=). This has been fixed,
potentially leading to different results than earlier with discrete
values of time.Bug Fixes
...) syntax not being correctly
evaluated. For example, supplying estimand="ATT" to
adjustedsurv() with method="iptw_km" and a
formula in the treatment_model argument would result in the
estimand argument not being passed to
weightit().plot.adjustedsurv() when
the adjustedsurv object was created in a function or
loopEnhancements
New features
plot.adjustedsurv()
(all arguments starting with risk_table)plot_rmst_curve() functionplot_rmtl_curve() functionadjusted_surv_quantile() functionRefactored
adjsurv and adjcif output objects
of adjustedsurv() and adjsutedcif()
respectively to adjdifference and ratio
arguments into one contrast argument in
adjusted_rmst(), adjusted_rmtl(),
adjusted_surv_quantile(), plot_rmst_curve()
and plot_rmtl_curve() functionstmle in
adjustedsurv() and adjustedcif() due to
concrete being removed from CRANDocumentation
Enhancements
iso_reg and force_bounds
to adjustedsurv() and adjustedcif() functions
to allow applying correction techniques outside plotting as wellvariable, ev_time or event
contain missings, includes the new mi_extrapolation
argument in adjustedsurv() and
adjustedcif()ratio argument to
adjusted_rmst() and adjusted_rmtl()
functionsto values in
adjusted_rmst() and adjusted_rmtl(), which
speeds up plot_rmst_curve() and
plot_rmtl_curve() considerablyBug Fixes
adjusted_rmst(), adjusted_rmtl()
and output of adjusted_curve_test() and functions that rely
on those functions. This is fixed now, but may lead to slightly
different estimates than in previous versions.New Features
surv_tmle and
cif_tmle, based on the concrete packagesurv_iv_2SRIFsurv_prox_iptw,
surv_prox_aiptw based on code from Andrew Yingadjusted_curve_ratio() functionplot_curve_ratio() functionDocumentation
WeightIt as suggested
by Noah GreiferWeightIt packageprint method to be equal to
summary method
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