Survival analysis can be utilized in randomized clinical trials for comparing efficiency of treatments. Compared to other forms of analysis that rely on fixed time durations, survival analysis depicts the most proficient use of data. Through survival analysis in clinical practice, it is possible to conduct a prospective study in future clinical practice. The inquiry may involve a specific cohort comprising of patients bearing similar characteristics. Further, the patients can be subjected to certain exposure(s) for a predetermined duration of time with the aim being to comprehend the effect that the exposure has on the subjects. Survival analysis provides an opportunity to alter the changes affecting the patients and also ensuring that necessary measures are put in place to minimize the effect of the disease affecting the patients. An example may be an analysis of patients suffering from Alzheimer`s disease. In order to effectively measure the mean time of patients in the study established, an anticipated time frame of 10 years would be sufficient. Such a duration is necessary in order to produce accurate results. Two groups would be used where one comprises of individuals with Alzheimer’s disease (AD), and another non-AD group with individuals who do not suffer from AD. Proportional hazards would also have to be considered. Afterwards, the independent effect of Alzheimer`s disease on survival can be determined. Through the utilization of Kaplan-Meir method, the survival time from both the AD and non-AD group can be efficiently established. Also to be considered is the duration from diagnosis to the time when the patient with AD succumbs to the disease. While it is expected that the non-AD group is likely to exhibit a greater mean survival time compared to the AD group, the main aim would be to establish the difference in survival times between the cohorts in both groups.
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