extrapolate.na

Function for extrapolating NA values from kernel smoothing

internal

Provides functions for treatment effect estimation, hypothesis testing, and future study design for settings where the surrogate is used in place of the primary outcome for individuals for whom the surrogate is valid, and the primary outcome is purposefully measured in the remaining patients. More details are available in: Knowlton, R., Parast, L. (2024) ``Efficient Testing Using Surrogate Information," Biometrical Journal, 67(6): e70086, <doi:10.1002/bimj.70086>. A tutorial for this package can be found at <https://www.laylaparast.com/etsi>.

Layla Parast

etsi

Efficient Testing Using Surrogate Information

Rebecca Knowlton

extrapolate.na function

<dl> <dt>y.strong</dt>
<dd>y.strong, the vector of predicted primary outcome values for s.strong</dd> <dt>s.strong</dt>
<dd>s.strong, the vector of strong surrogate information</dd></dl>

Arguments

Function for extrapolating NA values from kernel smoothing — extrapolate.na

<dl>

 <dt>y.strong</dt>
<dd>y.strong, the vector of predicted primary outcome values for s.strong</dd>

 <dt>s.strong</dt>
<dd>s.strong, the vector of strong surrogate information</dd>

</dl>

extrapolate.na: Function for extrapolating NA values from kernel smoothing

Description

Usage

Value

Arguments