Design and analysis of experiments in various different areas of application

ApplicationsSome of my publications
Agricultural field trials
  • R. A. Bailey: Interaction. In Encyclopedia of Statistical Sciences (eds. S. Kotz and N. L. Johnson), J. Wiley, New York, Volume 4, 1983, pp. 176–181. doi: 10.1002/0471667196.ess1255.pub2
  • R. A. Bailey: Restricted randomization versus blocking. International Statistical Review 53 (1985), 171–182. doi: 10.2307/1402933 [Maths Reviews 0959036 (89e: 62097)]
  • R. A. Bailey: Randomization, constrained. In Encyclopedia of Statistical Sciences (eds. S. Kotz and N. L. Johnson), J. Wiley, New York, Volume 7, 1986, pp. 524–530. doi: 10.1002/0471667196.ess2168.pub2
  • R. A. Bailey: One-way blocks in two-way layouts. Biometrika 74 (1987), 27–32. doi: 10.1093/biomet/74.1.27 [Maths Reviews 0885916 (88e: 62187)]
  • R. A. Bailey: Restricted randomization: a practical example. Journal of the American Statistical Association 82 (1987), 712–719. doi: 10.1080.01621459.1987.10478487
  • R. A. Bailey: Semi-Latin squares. Journal of Statistical Planning and Inference 18 (1988), 299–312. doi: 10.1016/0378-3758(88)90107-3 [Maths Reviews 0926634 (89b: 62160)]
  • R. A. Bailey, S. A. Harding and G. L. Smith: Cross-validation. In Encyclopedia of Statistical Sciences (eds. S. Kotz and N. L. Johnson), J. Wiley, New York, Supplementary Volume, 1989, pp. 39–44. doi: 10.1002/0471667196.ess3008.pub2
  • R. A. Bailey and R. W. Payne: Experimental design: statistical research and its application. In Institute of Arable Crops Research Report for 1989 (ed. J. Abbott), Agriculture and Food Research Council, Institute of Arable Crops Research, Harpenden, 1990, pp. 107–112.
  • R. A. Bailey, J. Kunert and R. J. Martin: Some comments on gerechte designs. I. Analysis for uncorrelated errors. Journal of Agronomy & Crop Science 165 (1990), 121–130. doi: 10.1111/j.1439-037X.1990.tb00842.x
  • R. A. Bailey, J. Kunert and R. J. Martin: Some comments on gerechte designs. II. Randomization analysis, and other methods that allow for inter-plot dependence. Journal of Agronomy & Crop Science 166 (1991), 101–111. doi: 10.1111/j.1439-037X.1991.tb00891.x
  • R. A. Bailey and H. D. Patterson: A note on the construction of row-and-column designs with two replicates. Journal of the Royal Statistical Society, Series B 53 (1991), 645–648. doi: 10.1111/j.2517-6161.1991.tb01853.x [Maths Reviews 1125721]
  • R. A. Bailey: Contribution to the discussion of `Avoiding statistical pitfalls' by C. Chatfield. Statistical Science 6 (1991), pp. 254-255.
  • R. A. Bailey: Efficient semi-Latin squares. Statistica Sinica 2 (1992), 413–437. url: http://www.jstor.org/stable/24304868 [Maths Reviews 1187951 (93j: 62199)]
  • R. A. Bailey: Recent advances in experimental design in agriculture. Bulletin of the International Statistical Institute 55 (1) (1993), 179–193.
  • S. J. Welham, R. A. Bailey, A. E. Ainsley and G. A. Hide: Designing experiments to examine competition effects between neighbouring plants in mixed populations. XVIIIth International Biometric Conference Invited Papers, (1996), pp. 97–105.
  • R. A. Bailey: Contribution to the discussion of `Bayesian analysis of agricultural field experiments' by J. Besag and D. Higdon. Journal of the Royal Statistical Society, Series B 61 (1999), p. 725.
  • R. A. Bailey: Designs for one-sided neighbour effects. Indian Journal of Agricultural Statistics 56 (2003), 302–314. [Maths Reviews 2059549]
  • R. A. Bailey: Experiments in rectangular areas: design and randomization. Journal of Agricultural, Biological and Environmental Statistics, 17 (2012), 176–191. doi: 10.1007/s13253-011-0082-6
  • R. A. Bailey and A. Łacka: Nested row-column designs for near-factorial experiments with two treatment factors and one control treatment. Journal of Statistical Planning and Inference, 165 (2015), 63–77. doi: 10.1016/j.jspi.2015.04.003
  • Agroforestry
  • H. Monod and R. A. Bailey: Two-factor designs balanced for the neighbour effect of one factor. Biometrika 80 (1993), 643–659. doi: 10.1093/biomet/80.3.643 [Maths Reviews 1248028 (95e: 62087)]
  • Animal behaviour
  • R. A. Bailey, D. C. Goldrei and D. F. Holt: Block designs with block size two. Journal of Statistical Planning and Inference 10 (1984), 257–263. doi: 10.1016/0378-3758(84)90077-6 [Maths Reviews 0760410]
  • Animal husbandry
  • R. A. Bailey and T. P. Speed: Rectangular lattice designs: efficiency factors and analysis. Annals of Statistics 14 (1986), 874–895. doi: 12.1214/aos/117635009 [Maths Reviews 0856795 (88e: 62186)]
  • J. A. Hill, D. R. Charles, H. H. Spechter, R. A. Bailey and A. J. Ballantyne: Effects of multiple environmental and nutritional factors in laying hens. British Poultry Science 29 (1988), 499–511. doi: 10.1080/00071668808417076
  • Clinical trials
  • R. A. Bailey and J. Gower: Contribution to the discussion of `Bayesian methods in practice: experiences in the pharmaceutical industry' by A. Racine, A. P. Grieve, H. Flühler and A. F. M. Smith. Applied Statistics 35 (1986), p. 133.
  • R. A. Bailey: Contribution to the discussion of `Bayesian approaches to randomized trials' by D. J. Spiegelhalter, L. S. Friedman and M. K. B. Parmar. Journal of the Royal Statistical Society, Series A 157 (1994), pp. 394-395.
  • R. A. Bailey and P. R. Nelson: Hadamard randomization: a valid restriction of random permuted blocks. Biometrical Journal 45 (2003), 554–560. doi: 10.1002/bimj.200390032 [Maths Reviews 1998135]
  • S. Senn, D. Amin, R. A. Bailey, S. M. Bird, B. Bogacka, P. Colman, A. Garrett, A. Grieve and P. Lachmann: Statistical issues in first-in-man studies. Journal of the Royal Statistical Society, Series A 170 (2007), 517–579. doi: 10.1111/j.1467-985X.2007.00481.x
  • R. A. Bailey: Designs for dose-escalation trials with quantitative responses (with discussion). Statistics in Medicine 28 (2009), 3721–3760. doi: 10.1002/sim.3646 and 10.1002/sim.3734 [Maths Reviews 2751733 and 2751739]
  • Sheila M. Bird, Rosemary A. Bailey, Andrew P. Grieve and Stephen Senn: Statistical issues in first-in-human studies on BIA 10-2474: neglected comparison of protocol against practice. Pharmaceutical Statistics, 16, (2017), pp. 100–106. doi: 10.1002/pst.1801
  • R. A. Bailey and Peter J. Cameron: Multi-part balanced incomplete-block designs. Statistical Papers, 60 (2019), 55–76. doi: 10.1007/s00362-018-01071-x [Maths Reviews 3969037] Appendage: doi: 10.1007/s00362-019-01137-4 [Maths Reviews 4262205]
  • Consumer testing
  • R. A. Bailey: Semi-Latin squares. Journal of Statistical Planning and Inference 18 (1988), 299–312. doi: 10.1016/0378-3758(88)90107-3 [Maths Reviews 0926634 (89b: 62160)]
  • R. A. Bailey: Efficient semi-Latin squares. Statistica Sinica 2 (1992), 413–437. url: http://www.jstor.org/stable/24304868 [Maths Reviews 1187951 (93j: 62199)]
  • R. A. Bailey, Persi Diaconis, Daniel N. Rockmore and Chris Rowley: A spectral analysis approach for experimental designs. In Excursions in Harmonic Analysis, Volume 4 (eds. R. Balan, M. Begué, J. J. Benedetto, W. Czaja and K. A. Okoudjou), Springer International Publishing (2015), pp. 367–395. doi: 10.1007/978-3-319-20188-7_14
  • Ecology
  • Julia Reiss, R. A. Bailey, Fernanda Cássio, Guy Woodward and Cláudia Pascoal: Assessing the contribution of micro-organisms and macrofauna to biodiversity-ecosystem functioning relationships in freshwater microcosms. Advances in Ecological Research 43 (2010), 151–176. doi: 10.1016/B978-0-12-385005-8.00004-6
  • Julia Reiss, R. A. Bailey, Daniel M. Perkins, Angela Pluchinotta and Guy Woodward: Testing effects of consumer richness, evenness and body size on ecosystem functioning. Journal of Animal Ecology 80 (2011), 1145–1154. doi: 10.1111/j.1365-2656.2011.01857.x
  • R. A. Bailey and Julia Reiss: Design and analysis of experiments testing for biodiversity effects in ecology. Journal of Statistical Planning and Inference, 144 (2014), 69–80. doi: 10.1016/j.jspi.2012.09.008
  • Daniel M. Perkins, R. A. Bailey, Matteo Dossena, Lars Gamfeldt, Julia Reiss, Mark Trimmer and Guy Woodward: Higher biodiversity is required to sustain multiple ecosystem processes across temperature regimes. Global Change Biology, 21 (2015), 396–406. doi: 10.1111/gcb.12688
  • Lorea Flores, R. A. Bailey, Arturo Elosegi, Aitor Larrañaga and Julia Reiss: Habitat complexity in aquatic micorcosms affects processes driven by detrivores. PLoS ONE, 11 (11):e0165065, 2016. doi: 10.1371/journal.pone.0165065
  • Julia Reiss, R. A. Bailey and Daniel M. Perkins: Design and analysis of laboratory experiments on aquatic plant litter decomposition. Chapter 20 in The Ecology of Plant Litter Decomposition in Stream Ecosystems (eds. Christopher M. Swan, Luz Boyero and Cristina Canhoto), Springer, 2021, pp. 455–482. doi: 10.1007/978-3-030-72854-0_20
  • Kyle A. Emery, Jenifer E. Dugan, R. A. Bailey and Robert J. Miller: Species identity drives ecosystem function in a subsidy-dependent coastal system. Oecologia, 196 (2021), 1195–1206. doi: 10.1007/s00442-021-05002-w
  • Entomology
  • R. A. Bailey: Interaction. In Encyclopedia of Statistical Sciences (eds. S. Kotz and N. L. Johnson), J. Wiley, New York, Volume 4, 1983, pp. 176–181. doi: 10.1002/0471667196.ess1255.pub2
  • R. A. Bailey and R. W. Payne: Experimental design: statistical research and its application. In Institute of Arable Crops Research Report for 1989 (ed. J. Abbott), Agriculture and Food Research Council, Institute of Arable Crops Research, Harpenden, 1990, pp. 107–112.
  • Environmental toxicology
  • T. H. Sparks, R. A. Bailey and D. A. Elston: Pseudoreplication: common (mal)practice. SETAC (Society of Environmental Toxicology and Chemistry) News, 17(3) (1997), 12–13.
  • R. A. Bailey and J. J. D. Greenwood: Effects of neonicotinoids on bees: an invalid experiment. Ecotoxicology, 27 (2018), 1–7. doi: 10.1007/s10646-017-1877
  • Enzyme-linked immunosorbent assay
  • H. Monod and R. A. Bailey: Pseudofactors: normal use to improve design and facilitate analysis. Applied Statistics 41 (1992), 317–336. doi: 10.2307/2347564
  • Forestry
  • R. A. Bailey: Design of experiments with edge effects and neighbour effects. In The Optimal Design of Forest Experiments and Forest Surveys (eds. K. Rennolls and G. Gertner), University of Greenwich, London, 1993, pp. 41–48.
  • Glasshouse experiments
  • R. A. Bailey: Confounding. In Encyclopedia of Statistical Sciences (eds. S. Kotz and N. L. Johnson), J. Wiley, New York, Volume 2, 1982, pp. 128–134. doi: 10.1002/0471667196.ess0401.pub2
  • R. A. Bailey: Efficient semi-Latin squares. Statistica Sinica 2 (1992), 413–437. url: http://www.jstor.org/stable/24304868 [Maths Reviews 1187951 (93j: 62199)]
  • R. A. Bailey and H. Monod: Efficient semi-Latin rectangles: designs for plant disease experiments. Scandinavian Journal of Statistics 28 (2001), 257–270. doi: 10.1111/1467-9469.00235 [Maths Reviews 1842248 (2002c: 05038)]
  • C. J. Brien, R. A. Bailey, T. T. Tran and J. Bolund: Quasi-Latin designs. Electronic Journal of Statistics, 6 (2012), 1900–1925. doi: 10.1214/12-EJS732
  • Human-computer interaction
  • R. A. Bailey: Symmetric factorial designs in blocks. Journal of Statistical Theory and Practice 5 (2011), 13–24. doi: 10.1080/15598608.2011.10412047 [Maths Reviews 2829819]
  • Microarrays
  • R. A. Bailey: Designs for two-colour microarray experiments. Applied Statistics 56 (2007), 365–394. doi: 10.1111/j.1467-9876.2007.00582.x [Maths Reviews 2409757]
  • R. A. Bailey, Katharina Schiffl and Ralf-Dieter Hilgers: A note on robustness of D-optimal block designs for two-colour microarray experiments. Journal of Statistical Planning and Inference, 143 (2013), 1195–1202. doi: 10.1016/j.jspi.2013.01.005
  • Pre-clinical trials
  • Shamus P. Burns, Mina Desai, Robert D. Cohen, C. Nicholas Hales, Richard A. Iles, Jocelyn P. Germain, Thomas C. H. Going and Rosemary A. Bailey: Gluconeogenesis, glucose handling and structural changes in livers of the adult offspring of rats partially deprived of protein during pregnancy and lactation. Journal of Clinical Investigation 100 (1997), 1768–1774. doi: 10.1172/JCI119703
  • S. P. Burns, R. D. Cohen, R. A. Iles, R. A. Bailey, M. Desai, J. P. Germain and T. C. H. Going: Zonation of gluconeogenesis, ketogenesis and intracellular pH in livers from normal and diabetic ketoacidotic rats: evidence for intralobular redistribution of metabolic events in ketoacidosis. Biochemical Journal 343 (1999), 273–280. doi: 10.1042/bj3430273
  • S. P. Burns, H. C. Murphy, R. A. Iles, R. A. Bailey and R. D. Cohen: Hepatic intralobular mapping of fructose metabolism in the rat liver. Biochemical Journal 349 (2000), 539–545. doi: 10.1042/bj3490539
  • Page maintained by R. A. Bailey