Statistical analysis - Essay Example

Statistical analysis December 4, Statistical analysis Adams, Chien, and Sheryl used logistic regression in their study that investigated breast cancer treatment between two categories of women and the statistic is applicable to the level of measurement that is ordinal. Logistic regression establishes odds ratio between binary categories that the researchers identifies clearly. Ordinal measurement scale, discrete nature of the variables, and the motive of investigating odds ratio of treatment, retrogressively, identifies suitability of the statistic for the variables (Muth, 2009).

Inferred assumption of mutual independence between investigated cover is also valid.Kazemi, et al. used generalized estimating equations and logistic regression to analyze effects of motivational interviewing on frequency of blackouts among first year students. Generalized estimation equation is appropriate to the correlation problem and the discrete scope of variables on which it is used. Logistic regression is also applicable to the factor as blackout and gender were measured on a categorical, discrete, and binary scale.

Other variables were measured on other scales but these are applicable to the estimating models (Muth, 2009). Inferred binary assumption on blackout and gender are also valid. Badger and Werrett however used descriptive statistics for analysis and this is consistent with the discrete and ordinal scope of the analyzed data. Frequency of occurrence was the focus of the descriptive study that lacked assumptions on the investigated variables. The statistics are however effective for the study’s objective (Muth, 2009).

Awerczek et al. also used descriptive statistics for quantitative aspects of their study. The discrete nature of the investigated variables, measurable on ordinal scale, justifies use of descriptive statistics such as percentages but no assumption can be deduced from the analysis to justify the statistics. ReferenceMuth, J. Overview of biostatistics used in clinical research. American Journal of Health-System Pharmacy, 66(1), 70-81.