BiVariAn (version 1.0.3)

ss_multreg: 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)

Value

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

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

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)