Both SAS and Stata have been present in statistical analysis for a long time. And the debate over SAS vs Stata, which is superior software for statistical analysis, is an age-old one between the data specialists.

Even if this question is commonly asked, it is still difficult to respond to in a single response. The reason being, as one might expect, each package has its own particular style as well as strengths and drawbacks. So, let’s start by giving you a brief detail and functionality of each of these programs.

SAS overview

Because of its easy programmability, SAS is the weapon of choice for most users. However, because it is such a strong programming tool, it is generally difficult to master. 

When SAS uses for analysis, it begins with developing the SAS program and then manipulates the data to execute the analysis. That is why the procedure is more complex, making it more difficult to discover and fix errors.

Apart from this, in terms of statistical studies, SAS is capable of handling all general analytical jobs. But its greatest strength is its ability to do ANOVA, a mixed model analysis including multivariate analytical procedures. 

On the other hand, its disadvantages are in ordinal and multinomial logistic regression analysis. In comparison to Stata, its survey data analysis support is also rather limited but sufficient for most customers.

Stata overview

The finest feature of Stata is its one-line commands. This means it may utilise by typing just one command at a time. This is the type that beginners prefer the most. People may also type several instructions at once, which is the most popular technique followed by users. Another significant benefit of using the Stata command is that it is relatively simple to detect and correct errors. 

Also, Stata’s data management capabilities aren’t as extensive as SAS’s. Many customers prefer Stata just because of its simple yet powerful data management capabilities. 

All these allow users to do complex data transformations with relative simplicity. However, one disadvantage of Stata is that it only works with one data file at a time. This is making it difficult for people who want to deal with multiple files at once.

SAS vs Stata: Tabular comparison

The following table examines the two packages’ standard capabilities in detail. “Standard” is what we are referring to:

1) built-in, 

2) readily available through official or well-known and trustworthy public websites, or 

3) accessible through very simple programming around built-in functions.

Statistical Test TypeSASStata
Ridge RegressionYesLimited
LassoYesLimited
Mixed Effects ModelsYesYes
Nonlinear RegressionYesYes
Bayesian StatisticsLimitedLimited
Stochastic Volatility Models, Continuous CaseLimitedLimited
Path AnalysisYesYes
FilteringLimitedLimited
Deterministic OptimizationYesLimited
Cluster AnalysisYesYes

SAS vs Stata: Which do you prefer to use?

SAS and Stata fall between statistical software like MatLab, R, and SPSS. And it has been seen that SAS provides more excellent in-depth analyses than Stata. It’s also made up of dozens of operations that produce large amounts of data. This is frequently more than 10 pages long. 

SAS’s perspective is to pay little attention to you. It’s like approaching an elderly grandfather with a simple inquiry. But instead of answering, he gives you the description of his life. Many methods provide three times as much information as you require for that section. 

That is why significant effort must be spent filtering in relevant output. Simple commands are also used to call SAS routines. Stata procedures can access by using menu buttons or performing simple commands.

Stata is similar to SPSS in terms of menus. Because SAS and Stata are both programming languages, you may use them to create analyses based on common processes. However, if we compare SAS vs Stata with other statistical software, they are not even close to R or Matlab in terms of programming versatility. 

Large data sets,  time-series operations, speed, freedom in structuring the output, attractive visuals, and counting processes are just a few of SAS’s advantages over other systems. 

Stata’s advantages over other programmes include longitudinal data approaches, survey data manipulation (clustering, stratified samples), robust estimates and testing, and multivariate time series.

Let’s wrap it up!

Today, we have discussed the differences between SAS vs Stata. In conclusion, we can say that SAS is a robust and dependable technology. And it has become the standard for many companies. Moreover, SAS training is complicated since the program is made up of several modules. Some of which follow entirely distinct operating principles. SAS is one of the most costly options compared to other commercial competitors.

Even though Stata is a robust and powerful program, its adoption – particularly in businesses. Moreover, Stata is preferable to the more expensive commercial competitors for customers. They all appreciate a large range of techniques, stability, and an advanced operational concept. That includes scripting language and a reasonable price.

Hope this blog will help you to differentiate both SAS vs Stata. Have queries, comment it in the given section. Thank you for reading.

By vishal