ss_multreg: Sample Size Calculation for multiple regression analysis
In BiVariAn: Bivariate Automatic Analysis

ss_multreg

R Documentation

Sample Size Calculation for multiple regression analysis

Description

Calculates the recommended sample size for a multiple regression analysis.

Usage

ss_multreg(df, prop = NULL, logistic = FALSE, verbose = TRUE)

Arguments

`df`	Degrees of freedom planned to be introduced
`prop`	Minimum prevalence of the expected event (Required if planned regression is a logistic regression)
`logistic`	Logical operator to indicate wether the planned regression analysis is a logistic regression or not.
`verbose`	Logical operator to indicate wether the results should be printed in console. Default is `TRUE`

Value

An object class ss_multreg_obj indicating the sample size calculation for a regression analysis.

References

Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology. diciembre de 1996;49(12):1373–9.

Pierdant-Pérez M, Patiño-López MI, Flores-García JA, Jacques-García FA. Implementación de un curso virtual de lectura crítica en estudiantes de medicina durante la pandemia COVID-19. Inv Ed Med. el 1 de octubre de 2023;12(48):64–71.

Examples


# Lineal multiple regression with 4 degrees of freedom
ss_multreg(4, logistic = FALSE)

# Logistic multiple regression with 4 degrees of freedom
# and 60% of probability of the event

ss_multreg(4, prop = .6, logistic = TRUE)

BiVariAn documentation built on April 4, 2025, 1:04 a.m.