print.curve_test

Prints some important parts of the output object.

Estimate and plot confounder-adjusted survival curves using
either 'Direct Adjustment', 'Direct Adjustment with Pseudo-Values',
various forms of 'Inverse Probability of Treatment Weighting', two
forms of 'Augmented Inverse Probability of Treatment Weighting',
'Empirical Likelihood Estimation' or 'Targeted Maximum Likelihood Estimation'.
Also includes a significance test for the difference
between two adjusted survival curves and the calculation of adjusted
restricted mean survival times. Additionally enables the user to
estimate and plot cause-specific confounder-adjusted cumulative
incidence functions in the competing risks setting using the same
methods (with some exceptions).
For details, see Denz et. al (2023) <doi:10.1002/sim.9681>.

Robin Denz

adjustedCurves

Confounder-Adjusted Survival Curves and Cumulative Incidence
Functions

print.curve_test function

<dl> <dt>x</dt>
<dd>An object of class <code>curve_test</code> created by the <code>adjusted_curve_test</code> function.</dd> <dt>digits</dt>
<dd>How many digits to use when rounding the results.</dd> <dt>...</dt>
<dd>Currently not used.</dd></dl>

Arguments

Author

Print Method for curve_test Objects — print.curve_test

<dl>

 <dt>x</dt>
<dd>An object of class <code>curve_test</code> created by the <code>adjusted_curve_test</code> function.</dd>

 <dt>digits</dt>
<dd>How many digits to use when rounding the results.</dd>

 <dt>...</dt>
<dd>Currently not used.</dd>

</dl>

print.curve_test: Print Method for `curve_test` Objects

Description

Usage

Value

Arguments

Author

See Also

Examples