Abstract
In the preceding chapters we covered fundamental definitions, concepts, and tests in statistics. In this chapter, we will go beyond the basics to explore more advanced statistical tools. We begin by revisiting the steak-diet data and discussing a nonparametric alternative to the independent-samples, pooled-variance t test that we covered earlier. We then segue to other types of analyses for comparing groups on a study endpoint. These techniques vary according to how both “group” and study endpoint are measured. We will also see these statistics “in action” by looking at examples taken from the medical literature.
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References
Agresti, A. (1990). Categorical data analysis. New York: Wiley.
Agresti, A., & Finaly, B. (2009). Statistical methods for the social sciences (4th ed.). Upper Saddle River, NJ: Prentice Hall.
Capitanio, U., Suardi, N., Briganti, A., Gallina, A., Abdollah, Lughezzani, G., et al. (2011). Influence of obesity on tumour volume in patients with prostate cancer. BJU International, 109, 678–684.
Jung, H., Kim, K. H., Yoon, S. J., & Kim, T. B. (2010). Second to fourth digit ratio: A predictor of prostate-specific antigen level and the presence of prostate cancer. BJU International, 107, 591–596.
Ott, L. (1988). An introduction to statistical methods and data analysis. Boston: PWS-Kent.
Ranasinghe, W. K. B., Wright, T., Attia, J., McElduff, P., Doyle, T., Bartholomew, M., et al. (2010). Effects of bariatric surgery on urinary and sexual function. BJU International, 107, 88–94.
Tynjala, J., Kangastupa, P., Laatikainen, T., Aalto, M., & Niemela, O. (2012). Effect of age and gender on the relationship between alcohol consumption and serum GGT: Time to recalibrate goals for normal ranges. Alcohol and Alcoholism, 47, 558–562.
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DeMaris, A., Selman, S.H. (2013). Bivariate Statistical Techniques. In: Converting Data into Evidence. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7792-1_5
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DOI: https://doi.org/10.1007/978-1-4614-7792-1_5
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