Page 283 The coefficients at the top of the page. data depress; set “c:\cama4\depress”; run; proc logistic data = depress desc; model cases = age income; run; The LOGISTIC Procedure…
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Chapter Outline 4.1 Robust Regression Methods         4.1.1 Regression with Robust Standard Errors         4.1.2 Using the Cluster Option         4.1.3 Robust Regression         4.1.4 Quantile Regression…
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Version info: Code for this page was tested in R 2.15.2. Introduction This page shows how to perform a number of statistical tests using R. Each section gives a brief…
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This example is taken from Stata’s manual on Heckman model. The data set https://stats.idre.ucla.edu/wp-content/uploads/2016/02/womenwk.sas7bdat is in SAS 8 format and can be accessed following the link. libname in ‘d:datasas’; data…
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1. If you are using SAS version 8.0, you can read Excel files up to Excel97 (but not Excel 2000).  Our experience is that SAS version 8.0 reads Excel files…
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The two examples here use data set fish.sas7bdat. *zero inflated poisson, producing the same result as "zip count child camper persons, inflate(child)" in Stata; proc nlmixed data=fish; parameters b0=0 b1=0…
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Version info: Code for this page was tested in SAS 9.3. Interval regression is used to model outcomes that have interval censoring. In other words, you know the ordered category…
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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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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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