|Venue:||University of Sydney Business School
|Dates:||February 5–9, 2018|
You may attend any one or any combination of the following days:
Monday, February 5:
Working Efficiently with Stata by Demetris Christodoulou, MEAFA General Convener
This day assumes no previous knowledge of Stata 15. It describes the environment of Stata, its limitations and strengths, and core syntactic features. It demonstrates ways of working efficiently with Stata, including the use of logs and do-files. It discusses key principles and presents tools for developing work that is reproducible and verifiable. The day is of interest to those who are new to Stata 15 or have limited experience with earlier versions of Stata. It is also useful to more experienced users who wish to attain a more structural understanding of Stata from first principles.
Tuesday, February 6:
Introduction to Programming by Demetris Christodoulou, MEAFA General Convener
This day assumes working knowledge of Stata 15 but no knowledge of programming with Stata or any other software. By the end of this day, you will be able to produce efficient, tractable, and automated routines for data management, statistical analysis and estimation, and the creation of tables and graphs. The day covers key programming tools (saved results, stored results, macros, scalars, loops) and the fundamentals of building your own commands in Stata (programs or ado-files). This day is appropriate to those who wish to attain a deeper knowledge of Stata and achieve the aforementioned attributes in their work. This day assumes knowledge of the material presented in Day 1.
Wednesday, February 7:
Management of Raw Data by Demetris Christodoulou, MEAFA General Convener
This day assumes working knowledge of Stata and basic programming skills but not of data management. The day demonstrates ways to import and export different data formats. It demonstrates the management of numerical variables, string variables and date/time variables, and the implications of missing values. It explores key data structures, including cross-sectional, time-series, and panel data in long and wide formats. It covers the management of data attributes, the organization of data, and the importance of metadata. It also demonstrates strategies for working efficiently with very large datasets. Dataset organization, archiving, combinations, and transformations will also be discussed. If you have no or limited experience with Stata 15, then you are strongly advised to attend Day 1 first. Some programming tools will also be applied from Day 2 (stored results, macros, scalars, and loops).
Thursday–Friday, February 8–9:
Bayesian Analysis by Yulia Marchenko, Executive Director of Statistics, StataCorp LLC
Days 4-5 assume working knowledge of Stata and basic knowledge of statistics and regression analysis. During these two days, you will learn the difference between Bayesian analysis and frequentist analysis. You will learn about different Bayesian concepts and how to perform Bayesian inference. You will become familiar with several Markov Chain Monte Carlo approaches and will learn how to check for their convergence. You will also learn how to fit linear models, non-linear models and other advanced models such as mixed/multilevel models using the Bayesian approach. If you have no experience with Stata then you are required to attend at least Day 1.
For more information, including a detailed program, or to register, visit sydney.edu.au/business/research/meafa/workshops/bayesian.