Cox Proportional Hazard

  Order Description     Cox Proportional Hazard is a regression technique that in" rel="nofollow">incorporates the element of time-to-event in" rel="nofollow">into the computation of a hazard ratio. A censorin" rel="nofollow">ing variable is one for which in" rel="nofollow">information is only partially known. A time-to-event variable is one that encapsulates the time between startin" rel="nofollow">ing a treatment and onset of a new event. For this Assignment, you identify a censorin" rel="nofollow">ing variable and a time-to-event variable. You also identify an in" rel="nofollow">independent variable that represents exposure status (with exposure or without exposure). You then conduct Cox Proportional Hazard regression analysis usin" rel="nofollow">ing these variables to compare survival times for those with and without the exposure. Fin" rel="nofollow">inally, you in" rel="nofollow">interpret the output of the regression, in" rel="nofollow">includin" rel="nofollow">ing the testin" rel="nofollow">ing of the assumption of proportionality and the hazards ratio. Use the Week 9 Dataset (SPSS Document) located in" rel="nofollow">in the Learnin" rel="nofollow">ing Resources area to complete this assignment. Access the dataset in" rel="nofollow">in this week’s Learnin" rel="nofollow">ing Resources. Identify the censorin" rel="nofollow">ing variable, given that you wish to evaluate the event stroke. Identify the time-to-event variable and produce a frequency table to determin" rel="nofollow">ine the presence of ties. (10 Poin" rel="nofollow">ints) Identify the in" rel="nofollow">independent variable for exposure status, given the followin" rel="nofollow">ing research question: Is there an association between hypertension and the time a person was followed before experiencin" rel="nofollow">ing a stroke?   Create a table with the above variables and their role in" rel="nofollow">in this analysis. (10 Poin" rel="nofollow">ints) Test the assumption of proportionality (30 Poin" rel="nofollow">ints) Use Kaplan-Meier in" rel="nofollow">in SPSS. Create a Hazard plot with time = followed, status=stroke, and factor = hypertension. (20 Poin" rel="nofollow">ints) Interpret the results: Are the baselin" rel="nofollow">ine hazards proportional and what does this mean in" rel="nofollow">in terms of your planned methodology? (10 Poin" rel="nofollow">ints) Use SPSS to run a Cox Proportional Hazards test (50 Poin" rel="nofollow">ints) Use stroke as the event and hypertension as the factor. (be sure to identify hypertension as a categorical variable). Be sure to in" rel="nofollow">include the output in" rel="nofollow">in your submission. (20 Poin" rel="nofollow">ints) Create a Hazard Plot for Hypertension (select separate lin" rel="nofollow">ines) (10 Poin" rel="nofollow">ints) Interpret the results. (10 Poin" rel="nofollow">ints) Could the presence of ties in" rel="nofollow">in time followed (from the frequency table in" rel="nofollow">in 1c) affect the results? How might you accommodate ties in" rel="nofollow">in this analysis? (10 Poin" rel="nofollow">ints)