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Regression Analysis: From Linear to Advanced Nonlinear Models - livestream seminars

  • 1.  Regression Analysis: From Linear to Advanced Nonlinear Models - livestream seminars

    Posted 06-04-2023 11:41
    Hi everyone
     
    Instats is pleased to present a highly anticipated two-part structured course on Regression Analysis: From Linear to Advanced Non-Linear Models with professor Malvina Marchese, taking place on July 3-4 and July 10-11. In this comprehensive course, you will learn everything you need to know about linear and non-linear regression analysis, enabling you to apply these methods in your own research.
     
    This two-day seminar offers an in-depth introduction to linear regression models for cross sectional and time series data, covering all aspects of regression modelling, from model and variables selection, to dummy variables and multicollinearity and endogeneity to prediction (in sample and out of sample). Each session introduces a specific set of methodologies, discussing their strengths and weaknesses, and then focuses on real-data applications in Stata and the interpretation of the results. 
     

    This intensive two-day seminar provides a thorough exploration of non-linear regression models, covering aspects from binary, multinomial, ordinal, censored, and count models to the highly sought-after quantile regression models in cross-sectional data analysis. Each session discusses the strengths and weaknesses of the models, then focuses on real-data applications in Stata and the interpretation of the results. 
     
    Each seminar can be purchased separately, but by buying the full structured course you will save 10% on both seminars in the series.
     
    Head over to instats.org today to check out our many upcoming livestream seminars as well as our library of on-demand offerings. With any questions please feel free to get in touch at info@instats.org.
     
     
    Best wishes
     
    Michael Zyphur
    Director
    Institute for Statistical and Data Science
    instats.org


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    Michael Zyphur
    Professor
    UQ Business School
    University of Queensland
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