Goodness of fit test for predictive model with small sample size

I am new to building the prediction model and would like to hear from you regarding the goodness of fit test (model calibration). Between Akaike information criteria (AIC), Hosmer-Lemeshow Test, Likelihood Ratio Test, and/or Pearson Residual Test, which goodness of fit test should I use if my sample size is small (N=60)?

• Check out the rms package. That package has lots of functions to do that sort of thing. Nov 24 '21 at 6:25