COMBCHI
COMBCHI takes chi-square statistics from multiply imputed data sets and produces a single p-value.
COMBINE
COMBINE takes estimates based on multiply imputed data sets and combines them into a single set of estimates and associated statistics. (Note: This macro has been largely superseded by PROC MIANALYZE).
GLOGIT
GLOGIT does maximum likelihood estimation of logistic regression models for two or more groups when the residual variance is allowed to differ across groups.
LIFEHAZ
This macro plots the hazard function for a model fitted by PROC LIFEREG. This version works for Release 6.12 through Release 9.2 of SAS
MISS
MISS uses the EM algorithm to estimate the parameters of a multivariate normal distribution when data are missing, and optionally generates multiply imputed data sets using the methods of J. L. Schafer, "Analysis of Incomplete Multivariate Data." (Note: This macro has been largely superseded by PROC MI which accomplishes the same tasks, but is much faster).
PREDICT
This macro calculates survival probabilities for models fitted by PROC LIFEREG. This version works for Release 8.2 of SAS and later.
SMOOTH
(Updated 11 March 2010). MACRO SMOOTH produces graphs of smoothed hazard functions using output from either LIFETEST or PHREG. With LIFETEST, it uses the data set produced by the OUTSURV option on the PROC statement. (Smoothing capabilities are built into release 9.2 of LIFEREG). With PHREG, it uses the data set produced by the BASELINE statement. SMOOTH employs a kernel smoothing method described by H. Ramlau-Hansen(1983), "Smoothing Counting Process Intensities by Means of Kernel Functions," The Annals of Statistics 11, 453-466. If there is more than one survival curve in the input data set, SMOOTH will produce multiple smoothed hazard curves on the same axes.
