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Nonparametric regression
Don't know how your outcome and covariates are related?
No need to force your data into a linear model, logistic model,
Poisson model, or any other parametric model. With Stata 15's
npregress command, you can fit a nonparametric regression model.
Then estimate effects, predict the outcome at one point, or
graph the entire response surface.
Find out how »
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A little help with Mata from the SSCC
New to Mata? Teaching Mata? Looking for a resource to add
to your reference collection? Check out the detailed
introduction to Mata by the University of Wisconsin's Social
Science Computing Cooperative (SSCC), An Introduction to Mata.
Read more »
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2018 Stata Conference in Columbus
There's still time to join the fun! Connect with the
inventive and creative Stata user community July 19–20 in
Columbus.
Hear how users from across all disciplines are using
Stata every day—from teaching with Stata to
developing new commands.
Seating is limited, so register for
your spot today.
View the program »
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2018 Canadian Stata Conference
Take your Stata experience to the next level. Join us the
day before JSM, July
27, in Vancouver to network with Stata users and experts.
You will gain valuable insights, discover new commands,
learn best practices, and improve your Stata knowledge. View
the conference program and register for your spot today.
Register now »
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Generalized Linear Models and Extensions, Fourth Edition
Learn all about generalized linear models (GLMs)—both theory and
application—from the latest edition of James W. Hardin and Joseph
M. Hilbe's book. Find out how to use Stata's glm command to fit
models for continuous, binary, and count outcomes. And, new in
the fourth edition, learn to fit multivariate and Bayesian GLMs.
Read the review »
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Importing Facebook data into Stata
Following up on our twitter2stata
command, we introduce the command facebook2stata.
facebook2stata allows you to import event, group, place, and page
data for analysis from the world's most popular social media platform.
Get started now »
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