Teaching | Research
| Software |
Professional
Teaching (Current/Recent Courses
Only)
-
CSI: Crime Statistics Investigations (freshman honors seminar)
- 22S:131 Intro to Mathematical Statistics II
- 22S:002 Statistics
and
Society (general education course)
- 22S:153-4 Mathematical Statistics I
and II
- 22S:162 Applied
Generalized Regression
- ALPHA Seminar (1st year grad seminar)
- 22S:220/171:262
Analysis of Categorical Data
Research Interests
- Improved confidence intervals for contingency table
parameters
- Homogeneous linear predictor (HLP) regression modeling
- Multinomial-Poisson homogeneous (MPH) models for contingency tables
- ROC analysis using correlated data
-
Analysis of crime and justice panel data
-
Modeling multivariate categorical response data
-
Generalized Linear Models
- Bayesian models for ordinal data
Software/Documentation
- mph.fit
An R program for
maximum likelihood fitting of multinomial-Poisson homogeneous (MPH) models
for contingency tables.
- ci.table An R
program for computing Score, Likelihood-Ratio (aka Profile Likelihood),
Power Divergence, and Wald confidence intervals for contingency table
parameters.
Professional
Page Last Updated:
03/09/2011 12:12 PM -0600
(Joseph B. Lang)