gof function

Computes statistics to evaluate the goodness-of-fit from dosresmeta Objects

This function computes statistics to evaluate the goodness-of-fit for dose-response meta-analysis. It implements the deviance test, the coefficient of determination, and a dataframe useful for a decorrelated residuals-versus-exposure plot. See reference for more details

gof(object, fixed = TRUE)

## S3 method for class 'gof.dosresmeta'
print(x, digits = 3, ...)

Arguments

• object: an object of class dosresmeta produced by dosresmeta.
• fixed: logical for selecting fixed model. By default equal to TRUE.
• x: an object of class gof.dosresmeta produced by gof.
• digits: an integer specifying the number of digits to which printed results must be rounded.
• ...: further arguments passed to or from other methods.

Returns

A list of class gof.dosresmeta containing the following

tdata	a dataframe with the decorrelated variables (y*, X*, e*).
R2	Coefficient of determination R^2.
deviance	Deviance test.

Examples

## Loading the data
data("milk_ov")

## Linear dose-response model
lin <- dosresmeta(formula = logrr ~ dose, type = type, id = id,
                 se = se, cases = case, n = n, data = milk_ov)
                 
## Display goodness-of-fit statistics
gof(lin)

## Meta-regression model
lin_reg <- dosresmeta(formula = logrr ~ dose, type = type, id = id,
  se = se, cases = case, n = n, data = milk_ov,
  mod = ~ type)

## Display goodness-of-fit statistics for meta-regression model
gof(lin_reg)

References

Discacciati A, Crippa A, Orsini N. Goodness of fit tools for dose-response meta-analysis of binary outcomes. Research synthesis methods. 2015 Jan 1.

Author(s)

Alessio Crippa, alessio.crippa@ki.se