calc_ncp_chi2

Allows user to find the corresponding non-centrality parameter for power analysis based on the Type I error rate, statistical power, and degrees of freedom.

Provides methods for powering cluster-randomized trials with two continuous co-primary outcomes using five key design techniques. Includes functions for calculating required sample size and statistical power. For more details on methodology, see Owen et al. (2025) <doi:10.1002/sim.70015>, Yang et al. (2022) <doi:10.1111/biom.13692>, Pocock et al. (1987) <doi:10.2307/2531989>, Vickerstaff et al. (2019) <doi:10.1186/s12874-019-0754-4>, and Li et al. (2020) <doi:10.1111/biom.13212>.

Melody Owen

crt2power

Designing Cluster-Randomized Trials with Two Continuous
Co-Primary Outcomes

calc_ncp_chi2 function

<dl><dt>alpha</dt>
<dd>Type I error rate; numeric.</dd>
<dt>power</dt>
<dd>Desired statistical power in decimal form; numeric.</dd>
<dt>df</dt>
<dd>Degrees of freedom; numeric.</dd></dl>

Arguments

Find the non-centrality parameter corresponding to Type I error rate and statistical power — calc_ncp_chi2

<dl>

<dt>alpha</dt>
<dd>Type I error rate; numeric.</dd>


<dt>power</dt>
<dd>Desired statistical power in decimal form; numeric.</dd>


<dt>df</dt>
<dd>Degrees of freedom; numeric.</dd>

</dl>

calc_ncp_chi2: Find the non-centrality parameter corresponding to Type I error rate and statistical power

Description

Usage

Value

Arguments

Examples