Effectiveness of inferential statistics in health care

Document Type:Presentation

Subject Area:Statistics

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In the study, there is also capturing for the association based on a familial relationships, mortality, diseases and lifestyle factors. The researcher through the research hypothesis examines what pairwise for the differences within the lifestyle factors that are correlated with those viewed pairwise differences on the basis of death that runs the families. It is through the hypothesis when Szekely and the coworkers develops were able to develop the distance correlation method which is suitable based on the task as it is possible to build for a SS-ANOVA model. The model build is capable of predicting for the death age on the four main lifestyle factors. With the entire methodology approach, it adapts to the exploration from research questions and the purpose of the statement.

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It is due to the fact that more than two samples were supposed to be tested and that is why the two selected test methods were in use. The study showed that there is presence of pairwise differences within the lifestyle factors which are normally used to run families and correlates very well with those pairwise differences subject to death age as it also run within the families ((Kong et al 6). They also partly account for the familial death age impacts. The study has resulted to some new questions for individuals to be asking mostly about the complex relationship between the family structure, lifestyle factors, genetics and other variables. Therefore, the study has only offered overall methodological approaches that show some promises to assist in answering some of these asked questions.

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