References
- Aggarwal, M., L. Deng, and M. Jha. 2006. Balanced residual treatment effects designs of first and second order. Statistics & Probability Letters 76 (6):597–600. doi:https://doi.org/10.1016/j.spl.2005.09.004.
- Bailey, R. 1984. Quasi-complete Latin squares: Construction and randomization. Journal of the Royal Statistical Society: Series B (Methodological) 46:323–34. doi:https://doi.org/10.1111/j.2517-6161.1984.tb01305.x.
- Bose, M., and B. Mukherjee. 2000. Cross-over designs in the presence of higher order carry-overs. Australian & New Zealand Journal of Statistics 42 (2):235–44. doi:https://doi.org/10.1111/1467-842X.00121.
- Bose, M., and B. Mukherjee. 2003. Optimal crossover designs under a general model. Statistics & Probability Letters 62 (4):413–18. doi:https://doi.org/10.1016/S0167-7152(03)00050-6.
- Brusasco, V., E. Crimi, G. Gherson, R. Nardelli, V. Oldani, B. Francucci, G. Cioppa, S. Senn, and L. Fabbri. 2002. Actions other than smooth muscle relaxation may play a role in the protective effects of formoterol on the allergen-induced late asthmatic reaction. Pulmonary Pharmacology & Therapeutics 15 (4):399–406. doi:https://doi.org/10.1006/pupt.2002.0366.
- Collombier, D., and I. Merchermek. 1993. Optimal cross-over experimental designs. Sankhya: The Indian Journal of Statistics B 55:249–61.
- Divecha, J., and J. Gondaliya. 2014. Construction of minimal balanced cross over designs having good efficiency of separability. Electronic Journal of Statistics 8 (2):2923–36. doi:https://doi.org/10.1214/14-EJS979.
- Divecha, J., and J. Gondaliya. 2015. Estimation of treatment and carryover effects in optimal cross-over designs for clinical trials. Statistics in Biopharmaceutical Research 7 (2):95–105. doi:https://doi.org/10.1080/19466315.2015.1019680.
- Gill, J. 1978. Design and analysis of experiments in the animal and medical sciences. Ames: Iowa State University Press.
- Gondaliya, J. 2019. The construction of efficient minimal balanced cross-over designs using matlab. International Journal of Agricultural and Statistical Sciences 15 (2):815–28.
- Guidance, I. E. 2005. The clinical evaluation of QT/QTc interval prolongation and proarrhythmic potential for nonantiarrhythmic drugs. International Conference on Harmonization, Switzerland, Geneva.
- Hanford, K. 2005. Lecture notes on mixed models. United States: Spring.
- Jones, J., and M. Quenouille. 1977. Experiments: Design and analysis. 2nd ed. London: Charles Griffin.
- Kiefer, J. 1975. Construction and optimality of generalized Youden designs. In A Survey of statistical designs and linear models, ed. J. N. Srivastava. Amsterdam: North-Holland.
- Matthews, J. 1989. Estimating dispersion parameters in the analysis of data from crossover trials. Biometrika 76 (2):239–44. doi:https://doi.org/10.1093/biomet/76.2.239.
- Morgan, J. 1988. Balanced polycross designs. Journal of the Royal Statistical Society: Series B (Methodological) 50:93–104. doi:https://doi.org/10.1111/j.2517-6161.1988.tb01714.x.
- Patterson, H. 1952. The construction of balanced designs for experiments involving sequences of treatments. Biometrika 39 (1-2):32–48. doi:https://doi.org/10.1093/biomet/39.1-2.32.
- Ring, A., B. Walter, A. Larbalestier, and D. Chanter. 2010. An efficient crossover design for thorough qt studies. Biometrie und Epidemiologie 6:1–12.
- Sharma, V. K. 1977. Change-over designs with complete balance for first and second residual effects. Canadian Journal of Statistics 5 (1):121–32. doi:https://doi.org/10.2307/3315089.
- Taka, M., and P. Armitage. 1983. Autoregressive models in clinical trials. Communications in Statistics: Theory and Methods 12 (8):865–67. doi:https://doi.org/10.1080/03610928308828502.