Dallas E. Johnson

Professor Emeritus
Department of Statistics
Kansas State University

Research Interests
  • Messy Data Analysis
  • Experimental Design and Linear Models
  • Statistical Methods for the Medical Sciences
  • Statistical Methods for Agriculture
  • Bayesian Methods in "Failure-on-Demand" and "Failure-Rate" Models
  • Model Validation Methods
  • Multiple Regression and Biased Regression Methods
  • Applications of Multivariate Methods
  • Repeated Measures and Longitudinal Studies
  • Design and Analysis of Crossover Experiments
Recent Publications
  • George A. Milliken and Dallas E. Johnson, 1984, 1992. Analysis of Messy Data, Vol. 1 - Designed Experiments, Chapman and Hall, New York.
  • George A. Milliken and Dallas E. Johnson, 1989. Analysis of Messy Data, Vol. 2 - Nonreplicated Experiments, Chapman and Hall, New York.
  • George A. Milliken and Dallas E. Johnson, 2001.  Analysis of Messy Data, Vol. 3 - Analysis of Covariance. Chapman & Hall/CRC, New York.  (down load data sets and SAS examples at www.stat911.com)
  • Dallas E. Johnson, 1998. Applied Multivariate Methods for Data Analysts, Duxbury, Belmont, CA.
  • Remmenga, Marta D. and Johnson, Dallas E. (1995). A Comparison of Inference Procedures in Unbalanced Split-plot Designs. Journal of Statistical Computation and Simulation 51: 353-367.
  • Harris, T. Robert and Johnson, Dallas E. (1996). A regression Model With Spatially Correlated Errors for Comparing Remote Sensing and In-Situ Measurements of a Grassland Site. Journal of Agricultural, Biological, and Environmental Statistics, 1:190-204.
  • C. L. Goad and D. E. Johnson, 1997. Alternative Analyses of Crossover Designs with More than Two Periods. Proceedings of the 1997 KSU Conference on Applied Statistics in Agriculture, 129-158.
  • L. Ballou and D. E. Johnson, 1997. Some Experiences with Neural Networks. Proceedings of the 1997 KSU Conference on Applied Statistics in Agriculture, 179-190.
  • C.L. Goad and D.E. Johnson, 2000. Crossover Experiments: A Comparison of ANOVA Tests and Alternative Analyses. Journal of Agricultural, Biological, and Environmental Statistics, 5:69-87.
  • Hoag, Linda A., Bedrosian, Jan L., Johnson, Dallas E., and Molineux, Barry (1994). Variables Affecting Perceptions of Social Aspects of Communicative Competence of an Adult AAC User. Augmentative and Alternative Communication 10:129-137. This paper won the Prentke Romich AAC Editors Award, December 7, 1995.
  • Scheule, Barbara M, Miller, Judy L., McCahon, Cynthia, and Johnson, Dallas E. (1995). Use of the NACUFS Professional Standards Manual as Reported by NACUFS Members. The Journal of the National Association of College & University Food Services 19:73-79.
  • Scheule, Barbara M, Miller, Judy L., McCahon, Cynthia, and Johnson, Dallas E. (1996). Influence of the NACUFS Professional Standards Manual on Customer Perceptions of Quality and Responsiveness. The Journal of the National Association of College & University Food Services 20:77-88.
  • Prasai, R. K., Kastner, C.L., Kenney, P.B., Kropf, D. H., Fung, D.Y.C., Mease, L.E., Vogt, L.R., and Johnson, D. E. (1997). Microbiological Quality of Beef Subprimals as Affected by Lactic Acid Sprays Applied at Various Points during Vacuum Storage. Journal of Food Protection, 60: 795-798.
  • Olson, K.C., Cochran, R.C., Jones, T.J., Vanzant, E.S., Titgemeyer, E.C., and Johnson, D.E. (1999). Effects of Ruminal Administration of Supplemental Degradable Intake Protein and Starch on Utilization of Low-Quality, Warm-Season Grass Hay by Beef Steers. Journal of Animal Sciences 77:1016-1025.
  • Heldt, J.S., Cochran, R.C., Mathis, C.P., Woods, B.C., Olson, K.C., Titgemeyer, E.C., Johnson, D.E., Vanzant, E.S., and Nagaraja, T.G. (1999). Effects of Level and Source Carbohydrate and Level of Degradable Intake Protein on Intake and Digestion of Low-Quality Tallgrass-Prairie Hay by Beef Steers. Journal of Animal Sciences 77:2846-2754.
  • Duncan, Pamela W.; Wallace, Dennis; Lai, Sue Min; Johnson, Dallas; Embretson, Susan, and Laster, Louise Jacobs (1999). The Stroke Impact Scale Version 2.0: Evaluation of Reliability, Validity, and Sensitivity to Change. Accepted for publication by Stroke, 7/27/99.
  • Levis, P., Chambers IV, E., Johnson, D.E. (2000). Consumption and Liking of a Fat-Modified Product During Short Trial Periods. Nutrition Research 20:791-804.
  • Loughin, T.M., Johnson, D.E., Ives, S.E., and Nagaraja, T.G. Nagaraja (2001). Methods for selecting Crossover Designs with Application to an Experiment with Two Factors in a Split-Plot. Journal of Agricultural, Biological, and Environmental Statistics, 7: 143-156.
  • Wang, Y., Young, L.J., and Johnson, D.E. (2001). A UMPU Test for Comparing the Means of Two Negative Binomial. Communications in Statistics – Simulations and Computations 30:1053-1075.
  • Wickremasinghe, W.N. and Johnson, D.E. (2002). Testing Subhypotheses and Estimating F2 in the Nonreplicated Three-Way Multiplicative Interaction Model. Communications in Statistics, Simulation and Computation 31: 605-618.
Courses Taught at Kansas State University
  • Course Taught Book Used
    Introduction to Probability and Statistics Freund, Devore; Walpole & Myers
    Introduction to Statistical Methods Snedecor & Cochran; Ott; Huntsberger; Johnson; Kitchens; Agresti
    Regression and Correlation Draper & Smith; Ott; Myers
    Analysis of Variance and Covariance Snedecor & Cochran; Ott
    Experimental Design Cochran And Cox; Mead; Milliken & Johnson
    Multivariate Methods Morrison; Chatfield and Collins; Wichern and Johnson; Johnson
    Mathematical Statistics I and II Hogg & Craig; Mood, Graybill, & Boes; Berger & Cassella
    Linear Models I and II Graybill
    Experimental Design Theory John
    Theory of Multivariate Analysis I and II Giri
    Analysis of Messy Data Milliken and Johnson
    Bioassay Hubert
    Experimental Designs for Product Development and Improvement Gunst, Mason, & Hess; Milliken & Johnson; Box, Hunter, & Hunter
    Nonparametric Statistics Gibbons
Links
  
Updated: September 7, 2005