Part One
Chi squared testing is a statistical test that is used to make a comparison of the data observed with the data that is expected depending on the hypothesis. The chi square test is also used to approximate if any two random variables depend on each other or not. In the social world such as the healthcare, there exist several characteristics in terms of variables like the number of male and female reporting health centers monthly. The deviation between observed data and the expected value help the researcher or investigator make informed conclusions.
Dependent t test is a statistics test that is make comparison between means of any two related variables so as to find out if there exist any differences between two means. The difference should have statistical significant. In the health care, the effectiveness of a particular treatment can be tested evaluating consecutive treatments administer for each patient and noting the number of effective treatments. This will be able to find out if the treatment administered has a positive effect.
Graham defined Correlation test as a statistic test that is used to explain the extent of the relationship between two variables. It is a very helpful statistics (2003). When two variables are under consideration if the correlation is negative the variables are indirectly related. When is positive they are directly related. In the health care a relationship between various social variables can be drawn. For instance, the relationship between the number cancer cases and their red meat intake frequency can be described using correlation test.
Part Two
Meta analysis is when statistical methods are utilized to bring together individual studies so as to use the combined information to increase the influence of the analysis. “Cinacalcet in Patients with Chronic Kidney Disease” is an article discussing the treatment effects outcomes on the patients. Meta analysis was being used to identify the effectiveness of treating of kidney diseases for grownups using a treatment called CKD.
With Meta analysis, Cochrane and Embase databases were found out and used to determine the randomized trials. This was used to weigh up the impact of the therapy on undesirable events as well as mortality in grownups with CKD. Two reviewers conducted and acknowledged 18 trials, extracted data for 7446 participants and also analyzed the biasness risk. The outcome of the study revealed that patients at the CKD stage had cinalecalet minimize the requirement of parathyroidectomy. Any more trial for the stage had minimal chances of an effective outcome.
References
Data Analysis - Quantitative Analysis - Pearson's Correlation Coefficient, r. (n.d.). Retrieved from http://hsc.uwe.ac.uk/dataanalysis/quantinfasspear.asp
Graham, A. (2003). Statistics. Blacklick, Ohio: McGraw-Hill.
PLOS Medicine: Cinacalcet in Patients with Chronic Kidney Disease: A Cumulative Meta-Analysis of Randomized Controlled Trials. (n.d.). Retrieved May 2, 2013, from http://www.plosmedicine.org/article/info%3Adoi%2F10.1371%2Fjournal.pmed.1001436
