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

Modeling Count Data: Understanding & Modeling Risk & Rates

Delivered by:
Course Code:
22-23 September 2015
George Washington University, Washington, D.C. (View map)
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 course to be held at the George Washington University, Washington, D.C., USA between 22-23 September 2015. The course will be delivered interactively using Stata 13.

Bayesian modeling will use R/JAGS (freeware).The course provides clear and understandable guidelines on modeling count data including the identification and handling of both under and over dispersion. The course guides participants in how to select the most appropriate model for a given count data situation, then how to best construct, interpret, and comparatively evaluate each type of model as to its fit. Discussed are the standard Poisson and negative binomial models and their extensions; e.g. scaled, sandwich, and bootstrapped SEs, zero-inflated, hurdle, heterogeneous, truncated, censored, generalized, longitudinal/panel, nonparametric, finite mixture, Bayesian, and related models (Poisson inverse Gaussian, generalized Poisson, NB-P, double Poisson, Hardins heaped Poisson, etc).

The course is largely based on the authors 2014 book, Modeling Count Data (Cambridge University Press), which won honorable mention for the 2015 PROSE awards for excellence in mathematics. It was the only statistics text that won a 2015 PROSE award.


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Day 1


  1. Nature of risk, rate, and rate ratio.
  2. Methods of estimation: maximum likelihood; IRLS.
  3. Poisson regression: The Poisson algorithm; Model construction; Incidence rate ratios and offsets; Interpretation; Model fit; Marginal effects.
  4. Over dispersion: Identifying and methods of handling extra-dispersion; Tests for extra-dispersion.
  5. Negative Binomial Regression: Varieties of negative binomial; Derivation of the basic NB2 negative binomial model; Constructing and interpreting NB2 regression; Analysis of fit; Marginal effects.
  6. Relationship of count and binomial models.

Afternoon workshop

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

Day 2


  1. Variety of count models.
  2. NB2 vs NB1.
  3. NB-H -- Parameterizing the scale parameter.
  4. Generalized Poisson (GP) and Generalized negative binomial (NB-P; Waring; others).
  5. Poisson-inverse Gaussian (PIG).
  6. Modeling data with no zero counts.
  7. Modeling data with excessive zero counts: ZIP, ZINB, ZIGP, ZIPIG.
  8. Hurdle models.
  9. Censored and truncated models.
  10. Finite mixture models.
  11. Nonparametric count models.
  12. Overview of count models for longitudinal and clustered data.
  13. Bayesian count models.

Afternoon workshop

  • Software considerations for modeling and evaluation of enhanced count models;
  • Exercises in modeling - selecting the appropriate model for specific types of data;
  • Constructing a count model project.

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 10:17:14
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