The kidney is one of the most valuable organs in the human body. It plays a critical role in filtering wastes and excess fluids from the human blood. However, some complications, such as chronic kidney disease (CKD), can reduce its functioning. CKD is the gradual loss of the kidney’s normal functioning with time. It may, in return, lead to the development of complications such as high blood pressure, low blood count, damage to nerves, and poor nutritional health.
Furthermore, CKD may also be caused by somebody disorders and even diabetes. However, detecting the disease early and treating it can keep the condition from getting worse. Kidney failure may require dialysis or a kidney transplant to maintain everyday life. The independent variables in chronic kidney disease include age, gender, and marital status of the patients. Moreover, weight, height, and laboratory measurements such as hemoglobin levels are the dependent variables. When analyzed deeply, these variables give out an implication on the chronic kidney disease to patients who are ailing from it. Thus, the research questions on CKD were as indicated below.
- In patients with CKD, does the use of peritoneal dialysis increase the likelihood of survival compared to the CVC and AFV and the mortality rates by at least 10% that they cause on the time slot of a month?
- Why is it important?
My anticipated quantitative analysis method is a regression since it suits this type of research. The hypothesis of this work – “the survival rate of dialysis patients depends on the type of catheter used with the specifics of age, gender and marital status” – is related to the research questions. Firstly, it measures the association between variables, especially the numerical ones (Hocher & Adamski, 2017). It can also be used to make predictions on future impacts of the disease on future populations. The use of dialysis is always associated with great risks due to the fact that it is often the only way to prolong the patient’s life. Regression analysis provides a strong theoretical basis for the test relationship from a probabilistic point of view. From sampled data, in which, as a rule, abrupt outliers are not observed, it is possible to build a model that meets the research questions. In addition, a wide range of regression tools, ranging from least squares to polynomial regression, will allow searching for dependencies in different ways. The resulting statistical significance will indicate the likelihood of error, and the hypothesis, tested with a determining significance level greater than 0.05, states that patients with risk factors are more likely to have a stroke. In this case, according to the first research question, it is necessary to find the very fact of dependence, and according to the second – its determinant or cause. Regression analysis is suitable for tasks in which independent variables are associated with dependent variables, and it is necessary to determine the nature of this relationship, its presence and correlation, and also be able to predict based on the data obtained. The identification of factors, as well as the predictive function of this analysis, is extremely important in matters relating to patient health, which can really help in proactive counteraction of the disease and adequate use of dialysis therapy. This information can also be obtained experimentally and empirically, however, too high risks and many deaths of patients exclude this possibility.
The first step is to ensure one finds a journal that best suits the publishing for the research. The journal’s area of research must contain appropriate information which can be submitted since some can be invitations only. Secondly, one should prepare their paper for submission, after which it should be submitted and revised (Aguinis et al., 2018). It can be done by following the invitation instructions provided. Once submitted, the editor will consider the paper by screening to determine if it passes the initial screening. After which, it will be sent to the experts for peer review. Tracking your research is the next step which involves checking the submission status online. The reference number is used in the tracking process, which is received after submission (Rashid et al., 2019). The last stage involves sharing and promoting the research paper. The biggest obstacle is insufficient time in following all the procedures and ensuring they succeed. It is because research consists of a series of events that need help from not readily available professionals. In some cases, it is tiresome to analyze data, especially if it involves a large group of participants.
The research on the impact of maternal prenatal smoking is quantitative because it deals with numbers and statistics of the various variables involved in the study (“Shibboleth authentication request,” 2021). The research question was as follows: “were the chances of being overweight during school-going among babies of mothers who smoked a year before their birth high compared to those whose mothers never smoked?” The study can be generalized since it shows the impact that smoking mothers have on their unborn children. This knowledge can be shared with pregnant women so they know how to take good care of their pregnancies. Moreover, hospitals can also apply the information attained from this research to predict future implications that may result from smoking. Thus, this would improve the well-being of many people and help them adopt better and healthy lifestyles.
Aguinis, H., Ramani, R., & Alabduljader, N. (2018). What you see is what you get? Enhancing methodological transparency in management research. Academy of Management Annals, 12(1), 83-110. Web.
Hocher, B., & Adamski, J. (2017). Metabolomics for clinical use and research in chronic kidney disease. Nature Reviews Nephrology, 13(5), 269-284. Web.
Rashid, Y., Rashid, A., Warraich, M., Sabir, S., & Waseem, A. (2019). Case study method: A step-by-step guide for business researchers. International Journal of Qualitative Methods, 18, 2-11. Web.
Shibboleth authentication request. (2021). West Coast University. Web.