Skip to Content

College of Arts & Sciences
Department of Statistics


Latent Variable Methods

Latent variable methods

[measurement error models, group testing, robustness, clustering, inter-rater agreement, educational measurement, item response theory, longitudinal data analysis]

 

Primary Theme: Brian Habing, Xianzheng Huang, Yanyuan Ma, Joshua Tebbs

Secondary Theme: Edwards, Hanson, Hitchcock, Lin, D. Wang, L.Wang

Some publications

  • Nelson, Kerrie and Edwards, Don (2015).  Measures of Agreement Between Many Raters for Ordinal Classifications.  Statistics in Medicine 34, 3116-3132.
  • Nelson, Kerrie and Edwards, Don (2010). Improving the reliablity of diagnostic tests in population-based agreement studies. Statistics in Medicine. 29(6), 617-626.
  • McMahan, C., Tebbs, J., and Bilder, C. (2012). Informative Dorfman screening. Biometrics, 68, 287-296.
  • McMahan, C., Tebbs, J., and Bilder, C. (2012). Two-dimensional informative array testing. Biometrics, 68, 793-804.
  • McMahan, C., Tebbs, J., and Bilder, C. (2013). Regression models for group testing data with pool dilution effects. Biostatistics, 14, 284-298.
  • Bilder, C., Tebbs, J., and Chen, P. (2010). Informative retesting. Journal of the American Statistical Association, 105, 942-955.
  • Huang, X. (2011) Detecting random-effects model misspecification via coarsened data. Computational Statistics and Data Analysis 55 , 703.714.
  • Huang, X. and Tebbs, J. (2009). On latent-variable model misspecication in structural measurement error models for binary response. Biometrics, 65, 710-718.
  • J.M. Grego, P.A. Yates (2010), Point and standard error estimation for quantiles of mixed flood distributions, Journal of Hydrology, 391, 289-301.
  • Huang, Xianzheng; Stefanski, Leonard A., Davidian, Marie. (2006). Latent-model robustness in structural measurement error models. Biometrika 93, no. 1, 53--64.
  • Carolan, Christopher A.; Tebbs, Joshua M. (2005). Nonparametric tests for and against likelihood ratio ordering in the two-sample problem. Biometrika 92, no. 1, 159--171.
  • Jang, J. and Hitchcock, D. B. (2012), "Model-based Cluster Analysis of Democracies," Journal of Data Science, 10, 297-319.
  • Hitchcock, D. B. and Chen, Z. (2008), Smoothing Dissimilarities to Cluster Binary Data, Computational Statistics and Data Analysis, 52, 4699-4711.
  • Nelson, Kerrie, and Edwards, Don (2008). On population-based measures of agreement . The Canadian Journal of Statistics, 36: 411-426.
  • Tebbs, Joshua M.; McCann, Melinda H. (2007) Large-sample hypothesis tests for stratified group-testing data. J. Agric. Biol. Environ. Stat. 12, no. 4, 534--551.
  • Tebbs, Joshua M.; Bilder, Christopher R. (2006) Hypothesis tests for and against a simple order among proportions estimated by pooled testing. Biom. J. 48, no. 5, 792--804.