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Wash, D.C. USA » Mar 2015 » Stata » Micro » Finance » Policy Analysis » Bookmark and Share

Logistic Regression Models: Modeling Binary, Proportional & Categorical Response Models


Delivered by:
Course Code:
24- 25 September 2015
George Washington University, Washington, D.C. (View map)
Econometrics & Statistics, Microeconomics, Finance, Policy Analysis
Prof. Joseph M. Hilbe, Arizona State University (View profile)
George Washington University, Washington, D.C. Stata  Stata 13    Timberlake Consultants | Statistics | Econometrics | Forecasting
Overview Agenda Prerequisites Testimonials Prices Registration Terms & Conditions  


Timberlake Consultants invite you to attend the following two-day, Stata course to be held at the George Washington University, Washington, D.C., USA.
The course provides clear and understandable guidelines on logistic regression based modeling, including the modeling of binary, proportional and categorical response models. The course guides participants in how to select the most appropriate model for a given data situation, then how to best construct, interpret, and comparatively evaluate each type of model as to its fit.
Discussed are the standard binary and grouped logistic models, and their extensions; e.g. proportional odds, partial proportional odds, multinomial logit and exact logistic models. Longitudinal and panel logistic models, as well as Bayesian logistic models, will also be discussed. Bayesian models will use R/JAGS for examples (freeware).The course is based largely on two books by the author, Logistic Regression Models (2009) and Practical Guide to Logistic Regression (2015), both by Chapman & Hall/CRC Press.



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Day 1: Morning

  1. Nature of risk, odds, and odds ratio.
  2. Methods of estimation: maximum likelihood; IRLS.
  3. Binary logistic regression: The logistic algorithm; Model construction, interpretation and model fit; Marginal effects; calculating probability.
  4. Grouped logistic regression; converting observation-based models to grouped; analysis of table data.
  5. Over dispersion: Identifying and methods of handling extra-dispersion; Tests for extra-dispersion.
  6. Relationship of count and binomial models.

Day 1: Afternoon workshop

  • Software considerations for modeling and evaluation of logistic models;
  • Setting up a logistic model: from tables; from grouped data; from observation data;
  • Exercises in modelling - selecting the appropriate model for specific types of data;
  • Constructing synthetic logistic models; testing model assumptions;
  • Constructing a logistic model project.

Day 2: Morning

  1. Overview of categorical response models.
  2. Proportional odds models.
  3. Partial proportional odds models.
  4. Multinomial logit models.
  5. Logistic longitudinal and panel models: fixed, random, and mixed effects models.
  6. Exact logistic regression models.
  7. Survey logistic models.
  8. Bayesian logistic models.

Day 2: Afternoon workshop

  • Software considerations for modeling and evaluation;
  • Exercises in modeling - selecting the appropriate model for specific types of data
  • Methods of estimation: maximum likelihood; IRLS;
  • Constructing synthetic categorical response models;
  • Constructing models.

Method of Instruction

Lecture/discussion of subject material; PM: on-hands directed computer use applying methods learned in morning session to simulated and real data. Stata primarily used for examples.


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A basic knowledge of linear models; some background with generalized linear models desirable.


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Cost (per participant):

Registration type Price
Commercial / Government $1,450.00
Academic / Non-profit research $1,130.00
Student registrations $490.00
Click here for Pricing FAQs »
  • All costs exclude local taxes, where applicable.
  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrollment).
  • Additional discounts are available for multiple registrations (non-academic only).
  • Cost includes course materials, lunch, refreshments and the use of computers (please advise us if you have any dietary requirements).
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.

The number of delegates is restricted. Please register early to guarantee your place.


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We welcome delegates to find out more and register for the course by contacting our sales and training team either by email: info@timberlake-consultancy.com, phone: +1 908 686 1251 or by filling out an online registration form.


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Terms & Conditions

For full Training Courses Terms & Conditions please click here.

Payment of course fees required prior to the course start date.

Registration closes 5-calendar days prior to the start of the course.

  • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
  • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
  • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.


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Last modified: 2015-04-02 10:19:23
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