Please use the following reference when citing BugsXLA:

Phil Woodward (2011)
Bayesian Analysis Made Simple: An Excel GUI for WinBUGS
Chapman & Hall/CRC Biostatistics Series

This book, Bayesian Analysis Made Simple, illustrates the full functionality of the program (v5.0) via numerous case studies. (UK users will find the book here). A summary of the differences that would be seen when using v7 is provided here.

The data used in the case studies in this book are packaged with the BugsXLA download.

A paper discussing an earlier version of this package was published in the Journal of Statistical Software, Vol. 14, 2005, Issue 5;
BugsXLA: Bayes for the Common Man

The following references all discuss the application of BugsXLA, illustrating the broad range of disciplines for which it has proven useful. If you know of other publicly available examples of its use, please contact me so that I can add it to this list.

Ethier, D.M., Koper, N. & Nudds, T.D. (2017). Spatiotemporal variation in mechanisms driving regional‐scale population dynamics of a Threatened grassland bird. Ecology and Evolution, 7(12), 4152-4162.

Ethier, D.M. (2016). Factors affecting the abundance of a declining grassland bird: Implications for recovery strategy planning and implementation. DPhil Thesis, Guelph, Ontario, Canada.

Jebb, A. T., & Woo, S. E. (2015). A Bayesian primer for the organizational sciences: The “two sources” and an introduction to BugsXLA. Organizational Research Methods, 18(1), 92-132.

Walley, R.J., Smith, C.L., Gale, J.D. and Woodward, P. (2015). Advantages of a wholly Bayesian approach to assessing efficacy in early drug development: a case study. Pharmaceutical Statistics, Vol 14, Iss 3, pp205-215.

Sobieraj, D.M., Cappelleri, J.C., Baker, W.L., Phung, O.J., White, C.M. and Coleman, C.I. (2013). Methods used to conduct and report Bayesian mixed treatment comparisons published in the medical literature: a systematic review. BMJ Open, Vol 3, Iss 7.

Miller, A.E., Thompson, W.L., Mortenson, D.C. and Moore, C. (2010). Protocol for ground-based monitoring of vegetation in the southwest Alaska network. National Resource Report NPS/SWAN/NRR - 2010/205. National Park Service, Fort Collins, Colorado.

Zhang, Y. (2010). An application of Bayesian analysis in forecasting insurance loss premiums. Presented at annual meeting of Casualty Actuarial Society.

Baker, W.L., Baker, E.L. and Coleman, C.I. (2009). Pharmacologic treatments for chronic obstructive pulmonary disease: a mixed-treatment comparison meta-analysis. Pharmacotherapy, 29(8):891-905.

Coyle, P., Martin, S.A., Carey, L.C., Summers, B.L. and Rofe, A.M. (2009). Ethanol-mediated fetal dysmorphology and its relationship to the ontogeny of maternal liver metallothionein. Alcoholism: Clinical and Experimental Research, 33, 6, pp1051-1058.

Woodward, P. and Walley, R. (2009). Bayesian variable selection for fractional factorial experiments with mulitlevel categorical factors. Journal of Quality Technology, 41, 3, pp228-240.

Lawson, J. (2008). Bayesian interval estimates of variance components used in quality improvement studies. Quality Engineering, 20:334-345.