Fast. Accurate. Easy to use. Stata is a complete, integrated software package that provides all your data science needs—data manipulation, visualization, statistics, and automated reporting.
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The Stata News—a periodic publication containing articles on using Stata and tips on using the software, announcements of new releases and updates, feature highlights, and other announcements of interest to interest to Stata users—is sent to all Stata users and those who request information about Stata from us. Yes, please send me the News. 4 Stata packages. Whether you’re a student or a seasoned research professional, Stata has a package designed to suit your needs: Stata/MP — The fastest edition of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyse the most data. Sep 28, 2017 STATA Software License. We offer STATA 15 SE for staff, faculty, and students at UCR. The license type is an annual license, renewed September 30th. Graduate and undergraduate students paid through the Student Technology Fee.
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Want to know more about Stata? View full detailsOur goal is to help delegates develop their existing skills and keep up-to-date with the latest and most important developments across the fields of Statistics, Econometrics and Forecasting.
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LASSO And Elastic Net Free Webinar
For Frontline Prognostic Formulas In Stata,
1 - 2pm (UK Time), 28th January 2021.
If you want to develop a way for clinicians to predict outcomes, then it needs to be something that can be practically implemented in frontline practice. In other words, there's no use making a hugely complex formula when a simpler one would be almost as accurate, and would actually get used. LASSO and elastic net are 'regularisation' methods now available in Stata version 16. That's to say, they find a reduced set of input variables that will give a good-enough prediction. You stay in control (unlike the often-criticised stepwise regression) and can choose how to balance simplicity and accuracy.
More informationStata Free Webinar
29th January 2021, Presented by Dr. Malvina Marchese.
Our one hour online webinar provides a comprehensive introduction to Stata. It's an ideal course for beginners who want to get a head start, learning how to use Stata efficiently and effectively. Sign up below.
More informationStata Winter School Online
14th - 18th December, 2020.
The Stata Winter School consists of a series of one- and two-day courses which can be taken individually or as a whole as required. The School is aimed at students, academics and professionals who want to develop and strengthen their data processing, programming, graphics and statistical skills using Stata. All of the courses are taught interactively using a blend of theory, follow-along demonstrations and exercises.
For the first time, we will be running our winter school entirely online, so you can join from the comfort of your home, anywhere in the world.
26th UK Stata Conference Proceedings
Review the proceedings from the London Stata Conference 2020: Download your slides here.
More informationGiovanni Cerulli Presents: The Anatomy of COVID-19
In this comprehensive study, Cerulli concentrates on 3 key areas: the pandemic's dynamic, predictions and statistical scenarios. You can watch the full interview here.
More informationImport the Latest COVID-19 Data with Stata
Use Stata to easily import the latest official COVID-19 news from Johns Hopkins University
The command creates a table that contains the date, the number of confirmed cases, the number of deaths, and the number recovered, plus a calculated variable named 'newcases' - the difference between confirmed cases for two contiguous days.
More informationLatest training coursesPanel Data Econometrics - in collaboration with Lancaster University (online)
Prof. Sébastien Laurent, Aix-Marseille University
Panel data econometrics has developed rapidly over the last decades.
Longitudinal data are more and more available to researchers and methods to analyse these data are in high demand from scholars from different fields.
The course offers a comprehensive overview on panel data methods with Stata, covering static and dynamic linear models.
Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.
By the end of the two-day on-line course, participants should be able to prepare panel data for the analysis with Stata, choose the relevant model, get the parameter estimates and interpret the results.
View full course detailsAn Introduction to Panel Data Analysis using Stata
Presented By: Dr. Malvina Marchese (CASS Business School, London)
Course Timetable: 10am - 12pm & 2pm - 4pm
Our web-based 'Introduction to Panel Data Analysis with Stata' course provides an overview of the most-used panel data techniques and is ideal for the beginner/intermediate-level user who wants to learn how to implement panel data estimation with Stata commands.
View full course detailsAn Introduction to Machine Learning using Stata - In collaboration with Lancaster University
Presented by Dr. Giovanni Cerulli and Robert GrantCourse Timetable: 10am - 12pm & 2pm - 4pm (London time)
This course is a primer to machine learning techniques using Stata. Stata owns today various packages to perform machine learning which are however poorly known to many Stata users. This course fills this gap by making participants familiar with (and knowledgeable of) Stata potential to draw knowledge and value from rows of large, and possibly noisy data. The teaching approach will be based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions.
View full course detailsInstrumental Variables and Structural Equation Modelling using Stata - Online
This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata.
View full course detailsAdvanced Machine Learning using Stata - In collaboration with Lancaster University
Course Timetable: 10am - 12pm & 2pm - 4pm
Presented by Dr. Giovanni CerulliThis course will focus on three specific techniques: regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions).The teaching approach will be mainly based on the graphical language and intuition more so than on algebra. The training will make use of instructional as well as real-world examples, and will evenly balance theory and practical sessions.
The course is open to people coming from all scientific fields, but it is particularly targeted to researchers working in the medical, epidemiological and socio-economic sciences.
View full course detailsInstrumental Variables and Structural Equation Modelling using Stata - Online
Course Overview
Stata Free Download For Students Microsoft Office
Presented by Dr. Giovanni CerulliCourse Timetable: 10am - 12pm & 2pm - 4pm
This course provides participants with the essential tools, both theoretical and applied, for a proper use of instrumental variables (IV) and structural equation models (SEM) for statistical causal modelling using Stata.
Stata Free Download For Students Online
View full course details View all training coursesLatest newsNew from the Stata Blog – Calculating power using Monte Carlo simulations, part 2: Running your simulation using power
Written by Chuck Huber, Associate Director of Statistical Outreach, thispost shows you how to integrate your simulations into Stata's -power-command so that you can easily create custom tables and graphs for arange of parameter values.Click to vi...Read full postNew from the Stata Blog – Calculating power using Monte Carlo simulations, part 1: The basics
Written by Chuck Huber, Associate Director of Statistical Outreach, this post is the first in a series that discusses how to use Stata to perform Monte Carlo simulations for calculating power and sample-size requirements for complex models.Click to ...Read full postStata Tips #21 - Stata 15's new survival analysis with interval-censored event times
Stata 15's new survival analysis with interval-censored event timesWhat is it for?Often, time-to-event or survival data are gathered at particular observation times. A physician will detect the recurrence of cancer only when there is a follow-up ap...Read full postStata Tips #19 - Multilevel Tobit regression models in Stata 15
Multilevel Tobit regression models in Stata 15Tobit models are made for censored dependent variables, where the value is sometimes only known within a certain range. Chemical sensors may have a lower limit of detection, for example. In this b...Read full postNew from the Stata Blog – Scheming your way to your favorite graph style
Written by Kristin MacDonald, Director of Statistical Services, this post discusses how to transform graphs in Stata to get the style you want.Click to view Stata's latest blog post 'Scheming your way to your favorite graph style'....Read full postFAQs
How can I succeed online learning?
The most important tip for anyone attending or considering an online degree is to stay on task.
Can I get a degree online?
To get a degree online, research on the internet to find an online course in the subject you want to study. For example, you might be able to study at an established university that offers online courses for out of state students. Alternatively, try exploring what online universities have to offer.
Can online education replace traditional education?
While e-learning won't replace traditional classrooms, it will change the way we know them today. With improved resources and reduced teacher workloads, classrooms can shift to co-learning spaces. Students can arrive, learn, engage—all at their own pace in a collaborative environment.
Is online study good or bad?
Stata Free Download For Students
Online schooling is a good option if you do good time management and follow a well prepared time table. Consider it as a great opportunity to learn more and learn better! As we all know excess of everything is bad. Everything has a limit if u doing it in efficient and effective manner.