Faculty staff profile

Chris Lloyd's academic and consulting experience is truly international, and he has applied his expertise in the fields of statistics, data analysis and market research within both academic and business environments.

Chris' research interests are in the analysis of categorical data, especially in classification methods, which have seen wide application in marketing research. Chris' papers and articles have been published in Journal of the American Statistical Association, Journal of the Royal Society and Strategic Management journal, and he is the author of a graduate level textbook on categorical data analysis.

Prior to joining MBS, Chris held a number of other senior academic positions at institutions including the Australian Graduate School of Management, the University of Hong Kong, the University of Waterloo and Londons Imperial College.

Chris has consulted widely on behalf of the scientific community, as well as for several prominent legal firms. He is managing editor and joint theory and methods editor of the Australian and New Zealand Journal of Statistics.

Recent publications and working papers

• How close are alternative bootstrap P-values?
• Computing Highly Accurate or Exact P-values using Importance Sampling
• Bootstrap P-values in Discrete Models: Asymptotic and non-asymptotic effects
• Bootstrap and second order tests of risk difference
• Estimated P-values in Discrete Models: Asymptotic and non-asymptotic effects
• Exact inference.Choice modelling. Estimating error rates.
• More powerful exact noninferiority and equivalence tests based on binary matched pairs
• The economic value of improved environmental health in Victorian Rivers
• More powerful exact tests of equivalence
• Exact tests of non-inferiority from independent binomial data based on second order test statistics
• On approximate conditioning and higher order asymptotics for 2x2 tables
• Improved Buehler limits based on refined designated statistics
• Exact one-sided confidence limits for the difference between two correlated proportions
• Efficient and Exact Tests of the Risk Ratio in a Correlated 2x2 Table with Structural Zero
• Unconditional efficient one-sided confidence limits for the odds ratio based on conditional likelihood
• Exact P-values for Discrete Models obtained by Estimation and Maximisation
• A New Exact and More Powerful Unconditional Test of no Treatment Effect from Binary Matched Pairs
• Exact Confidence Bounds for the Risk Ratio in 2x2 Tables with Structural Zero
• Multinomial Logistic Regression: An Application to Estimating Performance of a Multiple Screening Test for Bowel Cancer when Negatives are Unverified.
• View all Chris 's working papers & publications