coxsIndex

Calculates Cox's C, a standardized effect size measure for comparing hazard rates
between two groups in survival analysis.

A toolkit for causal inference in experimental and observational
studies. Implements various simple Bayesian models including linear,
negative binomial, and logistic regression for impact estimation.
Provides functionality for randomization and checking baseline equivalence
in experimental designs. The package aims to simplify the process of
impact measurement for researchers and analysts across different fields.
Examples and detailed usage instructions are available at
<https://book.martinez.fyi>.

Ignacio Martinez

Impact Measurement Toolkit

coxsIndex function

<dl><dt>p_t</dt>
<dd>Numeric value representing the proportion of events (e.g., failures, deaths) in the treatment group.</dd>
<dt>p_c</dt>
<dd>Numeric value representing the proportion of events in the control group.</dd>
<dt>n_t</dt>
<dd>Numeric value representing the sample size of the treatment group.</dd>
<dt>n_c</dt>
<dd>Numeric value representing the sample size of the control group.</dd></dl>

Arguments

Cox's Proportional Hazards Index (Cox's C) — coxsIndex

<dl>

<dt>p_t</dt>
<dd>Numeric value representing the proportion of events (e.g., failures, deaths) in the treatment group.</dd>


<dt>p_c</dt>
<dd>Numeric value representing the proportion of events in the control group.</dd>


<dt>n_t</dt>
<dd>Numeric value representing the sample size of the treatment group.</dd>


<dt>n_c</dt>
<dd>Numeric value representing the sample size of the control group.</dd>

</dl>

coxsIndex: Cox's Proportional Hazards Index (Cox's C)

Description

Usage

Value

Arguments

Details

References