Missing values are part of the game when you are dealing with data. This post shows you two different ways of replacing missing values with zero in SAS.Read More
In my college days studying mathematical finance, derivative pricing theory was among the hottest of topics. The first model that is usually taught in these classes is the famous Black-Scholes option pricing model. This post shows different ways of computing Black-Scholes prices in SAS.Read More
Linear regression is one of the simplest statistical models and is easily fitted in SAS. In this post I present a short explanation of the linear regression model and different ways to fit the model with SAS/STAT procedures and the IML language.Read More
Knowing your data well is one of the first steps in many statistical applications. Assessing the distribution of single variables is one way of getting to know your data. This post presents an example of doing so with PROC UNIVARIATE.Read More
Dates are everywhere in data science. Whether you are doing statistical analysis, data manipulation or something else in SAS, you will often have to work with date values. Therefore it is important to understand how SAS interprets dates and how to manipulate them correctly.Read More
Welcome to SASnrd.com
SASnrd.com is my blog, where I write about SAS programming and its applications in data science, graphing and statistical modelling.
I assume that you have at least basic knowledge of the SAS programming language. If not, click the Learn SAS Programming menu, where I recommend basic SAS learning material.
About me: I hold a MSc in Math-Economics and I work as an analyst in a Pricing/BI department in a Danish Insurance Company. This site is a spare time project to share SAS knowledge and to keep myself on an steep and ongoing learning curve by continuously sharpening my SAS skills.
You are welcome to contact me through the Contact Form or at SASnrd@SASnrd.com