Modeling Count Data: Understanding and Modeling Risk and Rates
Date: Location: Course duration: Software: Level: Delivered by: Course Code:	17-18 October 2013 Washington, D.C., USA 2-days Stata Introductory / Intermediate Prof. Joseph M. Hilbe, Arizona Stata University ST-118-USA

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Course overview

Timberlake Consultants invite you to attend the following two day course to be held in Washington, D.C., USA. The course will be delivered interactively using Stata 12.

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; eg scaled, bootstrapped, zero-inflated, heterogeneous, truncated, censored, generalized, longitudinal/panel, nonparametric, latent class/finite mixture, Bayesian, and related models.

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Method of instruction

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

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Prerequisites

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

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Agenda

Day 1

Morning

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 basicNB2 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

Morning

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

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Prices

Cost (per participant):

Commercial / Government	$1400.00
Academics / Non-profit Research	$1050.00
Student registrations	$550.00

• A 20% discount is applied to early registrations (registrations made more than 6 weeks in advance of the course start date)
• All costs exclude local taxes, where applicable
• All costs exclude local taxes, where applicable
• Late Registrations: Registrations made within 6-weeks before the start of the course
• 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
• Cost includes course materials, lunch, refreshments and the use of computers (please advise us if you have any dietary requirements)

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

If you need assistance in locating hotel accommodation in the region, please notify us at at the time of booking.

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Registration

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

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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