calculate.se

Estimates the standard error of the pooled treatment effect quantity.

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

calculate.se function

<dl> <dt>y1.weak</dt>
<dd>y1.weak, the primary outcome in the treatment group with weak surrogacy</dd> <dt>y0.weak</dt>
<dd>y0.weak, the primary outcome in the control group with weak surrogacy</dd> <dt>y1.strong</dt>
<dd>y1.strong, the predicted primary outcome given the surrogate in the treatment group with strong surrogacy</dd> <dt>y0.strong</dt>
<dd>y0.strong, the predicted primary outcome given the surrogate in the control group with strong surrogacy</dd></dl>

Arguments

Estimates the standard error of the pooled treatment effect quantity. — calculate.se

<dl>

 <dt>y1.weak</dt>
<dd>y1.weak, the primary outcome in the treatment group with weak surrogacy</dd>

 <dt>y0.weak</dt>
<dd>y0.weak, the primary outcome in the control group with weak surrogacy</dd>

 <dt>y1.strong</dt>
<dd>y1.strong, the predicted primary outcome given the surrogate in the treatment group with strong surrogacy</dd>

 <dt>y0.strong</dt>
<dd>y0.strong, the predicted primary outcome given the surrogate in the control group with strong surrogacy</dd>

</dl>

calculate.se: Estimates the standard error of the pooled treatment effect quantity.

Description

Usage

Value

Arguments