Author

Ron Cody
RSS
Private Consultant

Dr. Ron Cody was a Professor of Biostatistics at the Rutgers Robert Wood Johnson Medical School in New Jersey for 26 years. During his tenure at the medical school, he taught biostatistics to medical students as well as students in the Rutgers School of Public Health. While on the faculty, he authored or co-authored over a hundred papers in scientific journals. His first book, Applied Statistics and the SAS Programming Language, was first published by Prentice Hall in 1985 and is now in its fifth edition. Since then, he has published over a dozen books on SAS programming and statistical analysis using SAS. His latest book, A Gentle Introduction to Statistics Using SAS Studio was published this year. Ron has presented numerous papers at SAS Global forums, regional conferences, as well as local user groups. He is presently a contract instructor for SAS Institute and continues to write books on SAS and statistical topics.

Programming Tips
Ron Cody 0
Fun with Ciphers (Part 1)

This blog serves two purposes: the main purpose is to show you some useful SAS coding techniques, and the second is to show you an interesting method of creating a Beale cipher. TJ Beale is famous in Virginia for leaving behind three ciphers, supposedly describing the location of hidden gold

Programming Tips
Ron Cody 0
Two macros for detecting data errors

Last year, I wrote a blog demonstrating how to use the %Auto_Outliers macro to automatically identify possible data errors. This blog demonstrates a different approach—one that is useful for variables for which you can identify reasonable ranges of values for each variable. For example, you would not expect resting heart

Programming Tips
Ron Cody 0
Summarizing data

Because it is near the end of the year, I thought a blog about "Summarizing" data might be in order. For these examples, I am going to use a simulated data set called Drug_Study, containing some categorical and numerical variables. For those interested readers, the SAS code that I used

Programming Tips
Ron Cody 0
Creating Simulated Data Sets

There are times when it is useful to simulate data. One of the reasons I use simulated data sets is to demonstrate statistical techniques such as multiple or logistic regression. By using SAS random functions and some DATA step logic, you can create variables that follow certain distributions or are

Programming Tips
Ron Cody 0
Encrypting Data Using SAS

There are many reasons why you might want to encrypt data. I use a SAS program to encrypt a list of logon names and passwords. Before we get started describing how to encrypt data, let's discuss some basic concepts concerning encrypting and decrypting data. All computer data is stored as

Programming Tips
Ron Cody 0
Fuzzy Matching

The term "fuzzy matching" describes a method of comparing two strings that might have slight differences, such as misspelling or a middle initial in a name included or not included. One of my favorite functions to compare the "closeness" of two strings is the SPEDIS (spelling distance) function. Have you

Programming Tips
Ron Cody 0
The Amazing COMPRESS Function

In the past, the COMPRESS function was useful. Since SAS version 9, it has become a blockbuster, and you might not have noticed. The major change was the addition of a new optional parameter called MODIFIERS. The traditional use of the COMPRESS function was to remove blanks or a list

Programming Tips
Ron Cody 0
Multi-way lookup tables

A lookup table is a programming technique where one or more values can be used to retrieve another value. For example, many years ago, I had benzene exposure estimates for 10 years (1940 to 1949) for each of five locations in a factory. Given a year and a job location,

1 2