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Statistical Research: Descriptive and Inferential
Week 5 RES/351

The articles that describe each method, one is for descriptive statistical and the other is for inferential. With the descriptive statistical method in Statistical Primer for Cardiovascular Research by Martin G Larson 2007, uses the descriptive method to determine the cases of acute myocardial infarction cases during 2006. The inferential method in the article, Determination of Predictors of Cause of Mortality in HIV Cohorts from years 2002 to 2011, by Kennedy N Otwombe (Feb 2014), using the statistical method of determining exactly mortality rates in HIV cases.
The specific situation with Mortality rates in HIV cases would be to find the variation methods over time to determine either binary dependant variable and the independent predictor for the HIV causing death to patients with no opinion of what caused the death. But with Cardiovascular research the differences of BMI, overweight and underweight all determining factors on the causes of the primers. As well as diet to play a major role in helping with the research. With the differences in descriptive statistics and inferential, the descriptive in the Cardiovascular research compares in a more mathematical way of determining if the diet, BMI, overweight and underweight determine their health condition. This method can also be not as accurate as other methods by using measure of central tendency and is about small portion observations by rounding or altering data. (Statistical Primer for Cardiovascular Research, Martin G Larson, 2007) In the inferential method for Mortality Causes in HIV, the time to event findings assumes the risk of time dependent frailty which accounts for change over time. In this case will help determine if over time the mortality rates go up or down and which methods are causing the most deaths. Seems to be the more…...

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