Two-Stage Model Selection Procedure | Example: Simulation of Spike-at-Zero Data | Simulation of Spike-at-Zero (SAZ) Data | Fractional Polynomial Analysis with SAZ | References

Introduction to Multivariable Fractional Polynomials (MFP) | Overview of MFP | Fractional polynomial models for a continuous variable | Function selection procedure (FSP) | MFP procedure | MFP -- Key issues and approaches to handling them | The variable has to be positive | Sample size and influential observations | Lack of fit | Local features | Introduction to the mfp2 package | Estimation algorithm | Installation | Linear regression | Fitting MFP models using the matrix and formula interfaces | Shifting and scaling of covariates | Setting degrees of freedom for each variable | Tuning parameters for MFP | Nominal significance levels | Information criteria | Model comparison tests | Subject matter knowledge may require changes in fractional polynomial powers | Explanation of output from model-selection algorithm | Methods defined for mfp2 | Graphical presentation of FP functions | Handling categorical variables | Logistic regression | Survival data | Stratified Cox model | MFP with ACD transformation | Modeling a sigmoid relationship | Spike-at-Zero Modeling with Positive-Only FP Transformation | Two-Stage Model Selection Procedure | Example: Simulation of Spike-at-Zero Data | Simulation of Spike-at-Zero (SAZ) Data | Fractional Polynomial Analysis with SAZ | References