Research

Experimental design under the baseline parameterization, measurement reliability, and applied statistics.

Publications and research in experimental design, generalizability theory, measurement reliability, sports analytics, and the reliability of AI evaluation.

Peer-reviewed

Publications

  • Bias reduction via complementation of orthogonal arrays under a baseline parameterization. Statistics & Probability Letters 237 (2026), art. 110819. doi: 10.1016/j.spl.2026.110819

  • Is it time for a more analytical approach? Suboptimal shot selection strategies in handball. (with A. G. Laxdal, S. Þorgeirsson, J. Saavedra, T. Haugen, and coauthors) International Journal of Sports Science & Coaching (2025). doi: 10.1177/17479541251369049

  • On the existence and constructions of orthogonal designs. (with Boxin Tang) Australian & New Zealand Journal of Statistics (2018).

  • Compromise designs under baseline parametrization. (with Boxin Tang) Journal of Statistical Planning and Inference (2017).

The 2017 and 2018 design papers have since been cited in applied work across textile engineering, food science, hydrology, and mining.

Under review

Manuscripts under review

  • Distributional Generalizability Theory: Reliability for Non-Gaussian Measurements. Under review, Psychometrika (the journal of the Psychometric Society).

  • Decomposing the uncertainty of AI fairness audits: a multivariate generalizability framework. Under review, RSS: Data Science and Artificial Intelligence (Royal Statistical Society).

  • Response-scale reliability for count measurements: distributional generalizability theory for hurdle models, with an application to Twenty20 cricket. Under review, Australian & New Zealand Journal of Statistics (ANZJS).

  • How Many Matches Before a Shooting Indicator Is Trustworthy? Generalizability of Team Shooting Performance in Elite Handball. Under review, International Journal of Sports Science & Coaching (IJSSC).

  • Quantifying the Carleton Bias: A Multi-Facet Bayesian Account of Plate-Appearance Reliability. Under review, International Journal of Data Science and Analytics (IJDSA).

  • Minimum aberration designs for random-effect generalizability studies. Under review, Statistical Papers.

  • Election-Level Populism Scoring with Large Language Models: Coverage, Calibration, and Reliability. In preparation.

  • Dynamic generalizability of expected goals (xG) in international soccer tournaments. (with Tim Swartz) In preparation.

Non-refereed

Conference contributions

  • Walpitage D.L., Pathirage, D.P.N.A., Chamara, K.T.R., Pitigala, S.P. & Silva D.G.C.D. (2014). Investigating the reliability of a batting ability measurement system for T20 cricket: An application of random effects ANOVA through generalizability theory. Proceedings of International Statistics Conference 2014, Institute of Applied Statistics, Sri Lanka, 213.

  • Walpitage, D.L., Pathirage, D.P.N.A., Dharmawardena, J.S.N.P., Chamara, K.T.R., Mohomad, M.H., Silva, D.G.C.D., Narasinghe, N.L.T.D. (2013, September). Standard ECG: Short dramas to introduce abstract statistical concepts. Paper presented for the European Network for Business and Industrial Statistics (ENBIS) Greenfield Challenge Award, 13th Annual Conference of ENBIS, Ankara, Turkey.

Ongoing work

Active program

Beyond the manuscripts above, I maintain an active research program in measurement reliability, experimental design, and sports analytics — including the reliability of AI and machine-learning evaluation — with further work at various stages. The interactive tools the program produces are on the projects page.

Service

Peer review

Reviewer, Journal of Sports Analytics (2024).

Software

Code & tools