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## Other statistical methods

Cronbach’s alpha • Interitem correlations or covariances
• Generate summative scale
• Automatically reverse sense of variables

Kappa measure of interrater agreement • Two unique raters
• Weights for weighting disagreements
• Nonunique raters, variables record ratings for each rater
• Nonunique raters, variables record frequency of ratings

Stepwise regression • Linear
• Beta
• Competing risks
• Complementary log-log
• Cox
• GLM
• Interval
• Interval-censored parametric survival
• Logistic
• Conditional logistic
• Negative binomial
• Ordered logit
• Ordered probit
• Poisson
• Probit
• Quantile
• Skewed logistic
• Tobit
• Exponential, Weibull, Gompertz, lognormal, loglogistic, generalized gamma parametric survival

Nested model statistics Kernel-density estimation • Eight different kernels
• Control band width
• Overlay normal density or Student's t density

Box–Cox transform Power transforms • Search for power transform that converts a variable into a normally distributed variable
• Graphical display of a power-transformed variable

Orthogonal polynomials • Orthogonalize variables using modified Gram–Schmidt procedures
• Compute orthogonal polynomial for a variable

Tests of normality

Drawing samples from multivariate normal distribution • Default is orthogonal data
• May specify desired means and covariance or correlation matrix
• Singular covariance matrix is permitted
• Set random-number seed to ensure reproducibility

Creating datasets with specified correlation structure • Add variables to existing dataset or create new dataset
• Singular covariance or correlation structures are permitted
• Set random-number seed to ensure reproducibility

Collecting statistics into a dataset • Collection from any command
• Collection of results for each group or subgroup of observations
• Collection from community-contributed or “official” commands