The BGLIMM Procedure

The "Model Information" table displays basic information about the model, such as the response variable, frequency variable, link function, and model category that the BGLIMM procedure determines on the basis of your input and options, sampling algorithm, burn-in size, simulation size, thinning, and random number seed. This table also displays the distribution of the data that PROC BGLIMM assumes. For information about the supported response distributions, see the description of the DIST= option.

The "Number of Observations" table displays the number of observations that are read from the input data set and the number of observations that are used in the analysis. If the events/trials syntax is used, the number of events and trials is also displayed.

The "Response Profile" table displays the ordered values from which the BGLIMM procedure determines the probability that is modeled as an event in binary models. For each response category level, the frequency that is used in the analysis is reported. You can determine the ordering of the response values by specifying response-options in the MODEL statement. For binary models, the note that follows this table indicates which outcome is modeled as the event in binary models and which value serves as the reference category.

The "Response Profile" table is not produced for binomial (events/trials) data. You can find information about the number of events and trials in the "Number of Observations" table.

The "Class Level Information" table lists the levels of every variable that you specify in the CLASS statement. You should check this information to make sure that the data are correct. You can adjust the order of the CLASS variable levels by specifying the ORDER= option in the CLASS statement. You can suppress this table completely or partially by specifying the NOCLPRINT= option in the PROC BGLIMM statement.

The "Random Effect Information" table lists some basic information, such as the subject name, number of subject levels, list of subject levels, and the covariance type, of a RANDOM statement. You should check this table to make sure that the random effects are specified correctly.

The "Coefficients for label" table, where label is the label that you specify in the ESTIMATE statement, displays the matrix coefficients.

The "Coefficients for effect Least Squares Means" table, where effect is the effect that you specify in the LSMEANS statement, displays the matrix coefficients.