Stephen D. Kachman
Department of Statistics
University of Nebraska
Lincoln, NE 68583-0963
Location: 354B Hardin Center
Office: (402) 472-7302
FAX: (402) 472-5179
Areas of Expertise
- Mixed Linear Models
- Generalized Linear Mixed Models
- June 18-29, 2001 GLMM Short Course, at Iowa State University
Information - June 13-15, 2001 Graybill Conference on Linear Models
Genetic Evaluation of Livestock with Generalized Linear Mixed Models - Kachman, S. D. 2000, An Introduction to Generalized Linear Mixed Models, In: Proc. of a Symposium at the Organizational Meeting for a NCR Coordinating Committee on "Implementation Strategies for National Beef Cattle Evaluation," Oct 20-21, Athens, GA. 59-73.
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Oct. 26, 1998 Animal Breeding Seminar
A "Survivable" Introduction to Survival Analysis -
Nov. 2, 1998 Animal Breeding Seminar
An Application of Survival Analysis to a Simmental Data Set -
1998 WCC100 Presentation on Survival Analysis
Slides -
1998 ADSA/ASAS Presentation on Survival Analysis
Slides
Kachman, S. D. 1999, Applications in Survival Analysis, J. Anim. Sci., Vol. 77:147-153 - Statistical Computing
- October, 2003 Bioinformatics Seminar
Self-Organizing Maps: An Introduction - Sept. 18, 2002 Biometry Seminar
Application of the Metropolis--Hastings Algorithm to Variable Dimensional Models - 2001 NCR199 Presentation
Analysis of Generalized Linear Mixed Models with MATVEC - 1995 Presentation on AIREML
Does the ``AI'' in AI--REML stand for Artificial Intelligence? - Breeding and Genetics
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Jan. 16, 2001 Animal Breeding Seminar
Marker Assisted Selection: Computational Issues - Kachman, S. D. 2000, Genetic Evaluation of Survival Traits, In: Proc. of a Symposium at the Organizational Meeting for a NCR Coordinating Committee on "Implementation Strategies for National Beef Cattle Evaluation," Oct 20-21, Athens, GA. 27-31.
Courses Taught
- Statistical Modeling
- Fall 2006
- Fall 2005
- Spring 2004
- Spring 2002
- (GLMM 1998) Overheads
- Variance Component Estimation
- Linear Models
- Statistical Methods in Bioinformatics
- Statistical Genomics
- Experimental Design
- Stat & Applications
- Distribution Theory
- Statistical Inference
- Statistical Methods for Researchers


