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Product Description:
Stata statistical software is a general-purpose system intended for use by medical researchers, biostatisticians, epidemiologists, economists, sociologists, political scientists, geographers, psychologists, social scientists, and other research professionals. It is available for Windows, Macintosh, and Unix computers and provides full data management, graphics, statistical, and matrix language capabilities. In addition to general-purpose capabilities such as summary statistics, ANOVA, linear, logistic, and probit regression, and the like, Stata provides survival analysis including Kaplan-Meier survivor function estimates, Cox proportional hazards models, survey analysis, time series, multivariate analysis, and panel data estimators including random-effects, fixed-effects, and multilevel mixed-effects for continuous, binary, and count outcomes.
What's new in this version:
Stata 11 adds many new features such as multiple imputation, factor variables, generalized method of moments (GMM), competing-risks regression, state-space modeling, predictive margins, a Variables Manager, and more. Find out more about these features at:
http://www.stata.com/stata11/
Operating System Requirements:
This product is designed to run on the following operating systems:
- Mac OS X 10.5 Intel
- Mac OS X 10.5 PPC
- Mac OS X 10.4 Intel
- Mac OS X 10.4 PPC
- Mac OS X 10.3.9
- Mac OS X 10.3
- Mac OS X 10.2
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Featured Reviews
Stata: Best choice for Mac data analysis software 
- Version: 10, 11/5/2007 12:54PM PST
Adjacob1
I'm completing my PhD in sociology and I've had occasion to use the major statistical packages: SPSS, SAS, R and Stata. Stata is unquestionably the best of the bunch, and for Mac users there is really not even any competition. Some people love R but it's really designed for programmers more than for data analysts.
I recently decided to buy a statistical package for my old Mac Powerbook, and Stata was the clear choice for the following three reasons:
1) Mac friendliness. Look on the SPSS website: you'll be able to buy an out-dated version of the software several versions behind that has been ported to Mac. SAS doesn't offer Mac software at all. R is cross-platform, of course, but I've found the learning curve to be quite steep.
2) Fair price for a VERY complete package. Not only is SPSS expensive, you need to buy extra modules to perform fairly basic analysis like binary logistic regression. I bought intercooled stata for $155 US at a student discount. You can get a one-year license for under $100 dollars. This includes the entire full-featured package with all basic statistics (descriptives, graphics, linear/poisson/logisitic/probit/multinomial regressions) plus modules for time-series, event history, data reduction, panel data, survey statistics, pretty much everything. There are four different types of stata - Small, Intercooled, SE, and MP - but unless you're dealing with datasets with more than 2,000 variables, intercooled is a good affordable option.
3) Quasi-open-source structure. You can search for user-created add-on modules within the program and install them automatically. Suppose you need to simulate data for a Box-Jenkins ARIMA model - just search and you'll find someone has added a module to do just that, so you don't need to write it yourself. The help is also excellent, although as some people have noted the large and expensive manuals would sometimes be nice to have. However, the program comes with a 150-page "getting started in Stata" book that is excellent and mac-specific.
As far as I can tell, Stata 10 is quite a bit better than 9. The improvements in graphics editing alone are really noteworthy.
Side note: Stata integrates very nicely with TextWrangler and Smultron; both feature text highlighting for stata .do files.
Very highly recommended for anyone needing a complete statistical package.
I recently decided to buy a statistical package for my old Mac Powerbook, and Stata was the clear choice for the following three reasons:
1) Mac friendliness. Look on the SPSS website: you'll be able to buy an out-dated version of the software several versions behind that has been ported to Mac. SAS doesn't offer Mac software at all. R is cross-platform, of course, but I've found the learning curve to be quite steep.
2) Fair price for a VERY complete package. Not only is SPSS expensive, you need to buy extra modules to perform fairly basic analysis like binary logistic regression. I bought intercooled stata for $155 US at a student discount. You can get a one-year license for under $100 dollars. This includes the entire full-featured package with all basic statistics (descriptives, graphics, linear/poisson/logisitic/probit/multinomial regressions) plus modules for time-series, event history, data reduction, panel data, survey statistics, pretty much everything. There are four different types of stata - Small, Intercooled, SE, and MP - but unless you're dealing with datasets with more than 2,000 variables, intercooled is a good affordable option.
3) Quasi-open-source structure. You can search for user-created add-on modules within the program and install them automatically. Suppose you need to simulate data for a Box-Jenkins ARIMA model - just search and you'll find someone has added a module to do just that, so you don't need to write it yourself. The help is also excellent, although as some people have noted the large and expensive manuals would sometimes be nice to have. However, the program comes with a 150-page "getting started in Stata" book that is excellent and mac-specific.
As far as I can tell, Stata 10 is quite a bit better than 9. The improvements in graphics editing alone are really noteworthy.
Side note: Stata integrates very nicely with TextWrangler and Smultron; both feature text highlighting for stata .do files.
Very highly recommended for anyone needing a complete statistical package.
Stata is powerful, versatile and has great support - Version: 12 Jan 2007, 4/14/2007 12:20PM PST
rene_b
For several weeks I have been evaluating several stat packages that also do some graphics. I looked at JMP 6 (which I have vers. 5), Aabel, KaleidaGraph 4 (I have vers 3) IgorPro, proFit, and a couple of others too.
I narrowed my choices down to JMP 6 or Stata. Stata's extensive capabilities are closer to SPSS or SAS than JMP (which has a Mac version that is woefully behind compared to their Windows/Unix products). Stata has a policy of keeping all versions across platforms at parity. They update software regularly (every few weeks) via a component or module system.
I got a full featured evaluation copy and after a day or so of use I had some questions about how to make a complex graph with some specific needs for plotting. I e-mailed tech support and had a detailed reply with step-by-step instructions and an example using the data I supplied with my request. How long did it take for Stata to reply? About 2 hours. I had a follow up query and got a reply to that even faster! And this was for someone who hadn't paid them anything and was just evaluating the software. Earlier in my evaluations I called JMP for some help and was told 'I couldn't be helped' because I didn't own the software.
When I decided what to buy, it was Stata; I decided on that mostly because of it's features, power, and flexibility, but also due to their support and policies. JMP gives you one year and Stata for as long as you own the software. Oh, and Stata is cheaper than JMP. That said, Stata is NOT cheap. One can purchase different versions of the software depending on your needs. The versions differ mostly in the size of the datasets they can handle. Furthermore, they sell the software with 'basic' documentation (about 8 vols) or a complete (about 12) version. Also, unlike SPSS, the version of Stata that one purchases is pretty much complete so you don't need to purchase extra modules to do your work.
One last point: Stata shows its command line roots and makes no bones about it. However, one can do almost everything via GUI too. The 'Getting Started' book that comes with the software gives examples of how to do things both ways, so whichever way you are comfortable with working is possible.
I narrowed my choices down to JMP 6 or Stata. Stata's extensive capabilities are closer to SPSS or SAS than JMP (which has a Mac version that is woefully behind compared to their Windows/Unix products). Stata has a policy of keeping all versions across platforms at parity. They update software regularly (every few weeks) via a component or module system.
I got a full featured evaluation copy and after a day or so of use I had some questions about how to make a complex graph with some specific needs for plotting. I e-mailed tech support and had a detailed reply with step-by-step instructions and an example using the data I supplied with my request. How long did it take for Stata to reply? About 2 hours. I had a follow up query and got a reply to that even faster! And this was for someone who hadn't paid them anything and was just evaluating the software. Earlier in my evaluations I called JMP for some help and was told 'I couldn't be helped' because I didn't own the software.
When I decided what to buy, it was Stata; I decided on that mostly because of it's features, power, and flexibility, but also due to their support and policies. JMP gives you one year and Stata for as long as you own the software. Oh, and Stata is cheaper than JMP. That said, Stata is NOT cheap. One can purchase different versions of the software depending on your needs. The versions differ mostly in the size of the datasets they can handle. Furthermore, they sell the software with 'basic' documentation (about 8 vols) or a complete (about 12) version. Also, unlike SPSS, the version of Stata that one purchases is pretty much complete so you don't need to purchase extra modules to do your work.
One last point: Stata shows its command line roots and makes no bones about it. However, one can do almost everything via GUI too. The 'Getting Started' book that comes with the software gives examples of how to do things both ways, so whichever way you are comfortable with working is possible.
Most Recent Replies: View All 1 Replies
- Stata is powerful, versatile and has great support
http://www.ats.ucla.edu/stat/technicalreports/
Stata gets my vote for the best general statistical package for Mac users, offering comprehensive feature set, mature GUI, clear command line syntax, programmability, super support and documentation (including a recognized journal), and responsive company (the president is active on the listerv).