/* purpose: Shows how to read in multiple raw data files in one data step. This example reads fixed columns data, but it can be modified to read other kinds…
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The following code creates a table of results for a series of regressions. The resulting table will look like the one shown below. The coefficients for each variable are listed,…
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This SAS Code Fragment page shows examples of simple linear and nonlinear models using propc mcmc. Please note that the page only shows diagnostic plots for the first model. Users…
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Introduction Power analysis is the name given to the process for determining the sample size for a research study. The technical definition of power is that it is the probability…
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Note:  This example is done in PROC LCA 1.3.2. PROC LCA is developed for SAS version 9.4 for Windows by the Methodology Center at Penn State. It can be downloaded…
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Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear combination…
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Version info: Code for this page was tested in SAS 9.3. Multinomial logistic regression is for modeling nominal outcome variables, in which the log odds of the outcomes are modeled…
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As the name implies, multivariate regression is a technique that estimates a single regression model with multiple outcome variables and one or more predictor variables. Please Note: The purpose of…
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Negative binomial regression is for modeling count variables, usually for over-dispersed count outcome variables. Please note: The purpose of this page is to show how to use various data analysis…
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Version info: Code for this page was tested in SAS 9.3. Examples of ordered logistic regression Example 1:  A marketing research firm wants to investigate what factors influence the size…
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