1. Lamb CR. Statistical briefing: the normal distribution. Vet Radiol Ultrasound. 2008;49(5):492-3. PMid:18833962. http://dx.doi.org/10.1111/j.1740-8261.2008.00415.x.

2. Torman VBL, Coster R, Riboldi J. Normality of variables: diagnosis methods and comparison of some nonparametric tests by simulation. Rev HCPA. 2012;32:227-34.

3. Norman G, Streiner D, editores. Biostatistics: the bare essentials. 3. ed. Hamilton: B.C. Decker; 2014.

4. Miot HA. Sample size in clinical and experimental trials. J Vasc Bras. 2011; 10(4):275-8. http://dx.doi.org/10.1590/S1677-54492011000400001.

5. Scotton MF, Miot HA, Abbade LP. Factors that influence healing of chronic venous leg ulcers: a retrospective cohort. An Bras Dermatol. 2014;89(3):414-22. PMid:24937814. http://dx.doi.org/10.1590/abd1806-4841.20142687.

6. Kim HY. Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restor Dent Endod. 2013;38(1):52-4. PMid:23495371. http://dx.doi.org/10.5395/rde.2013.38.1.52.

7. Chantarangsi W, Liu W, Bretz F, Kiatsupaibul S, Hayter AJ, Wan F. Normal probability plots with confidence. Biom J. 2015;57(1):52-63. PMid:25332051. http://dx.doi.org/10.1002/bimj.201300244.

8. Sürücü B, Koc E. Assessing the validity of a statistical distribution: some illustrative examples from dermatological research. Clin Exp Dermatol. 2008;33(3):239-42. PMid:18093239. http://dx.doi.org/10.1111/j.1365-2230.2007.02629.x.

9. Shapiro SS, Francia R. An approximate analysis of variance test for normality. J Am Stat Assoc. 1972;67(337):215-6. http://dx.doi.org/10.1080/01621459.1972.10481232.

10. Razali NM, Wah YB. Power comparisons of Shapiro-wilk, kolmogorovsmirnov, lilliefors and anderson-darling tests. J Stat Model Anal. 2011;2:21-33.

11. Henderson AR. Testing experimental data for univariate normality. Clin Chim Acta. 2006;366(1-2):112-29. PMid:16388793. http://dx.doi.org/10.1016/j.cca.2005.11.007.

12. Leotti VB, Birck AR, Riboldi J. Comparação dos Testes de Aderência à Normalidade Kolmogorov-smirnov, Anderson-Darling, Cramer–Von Mises e Shapiro-Wilk por Simulação. In: Anais do 11º Simpósio de Estatística Aplicada à Experimentação Agronômica; 2005; Londrina. Florianópolis: UFSC; 2005. 192 p.

13. Mendes M, Pala A. Type I error rate and power of three normality tests. Pak J Info Tech. 2003;2(2):135-9. http://dx.doi.org/10.3923/itj.2003.135.139.

14. Le Boedec K. Sensitivity and specificity of normality tests and consequences on reference interval accuracy at small sample size: a computer-simulation study. Vet Clin Pathol. 2016;45(4):648-56. PMid:27556235. http://dx.doi.org/10.1111/vcp.12390.

15. Maltenfort M. Understanding a normal distribution of data (Part 2). Clin Spine Surg. 2016;29(1):30. PMid:26694624.

16. Bebu I, Mathew T. Comparing the means and variances of a bivariate log-normal distribution. Stat Med. 2008;27(14):2684-96. PMid:17907261. http://dx.doi.org/10.1002/sim.3080.

17. Malehi AS, Pourmotahari F, Angali KA. Statistical models for the analysis of skewed healthcare cost data: a simulation study. Health Econ Rev. 2015;5(1):11. PMid:26029491. http://dx.doi.org/10.1186/s13561-015-0045-7.

18. Salway R, Wakefield J. Gamma generalized linear models for pharmacokinetic data. Biometrics. 2008;64(2):620-6. PMid:17888039. http://dx.doi.org/10.1111/j.1541-0420.2007.00897.x.

19. Tobias S, Carlson JE. Brief report: Bartlett’s test of sphericity and chance findings in factor analysis. Multivariate Behav Res. 1969;4(3):375-7. PMid:26745847. http://dx.doi.org/10.1207/s15327906mbr0403_8.