Assignment: Kaplan-Meier Curve

  Order Description   Assignment: Kaplan-Meier Curve The Kaplan-Meier curve is a way to evaluate longitudin" rel="nofollow">inal data and estimate conditional survival rates through the illustration of a series of conditional probabilities. For this Assignment, you use the Kaplan-Meier method to evaluate time-to-event data collected through a longitudin" rel="nofollow">inal study described in" rel="nofollow">in the Week 8 Dataset (SPSS document). You also create a survival curve and estimate survival distributions. The Assignment Usin" rel="nofollow">ing Week 8 Dataset (SPSS document) from the Learnin" rel="nofollow">ing Resources area, answer the followin" rel="nofollow">ing: 1. Data (20 Poin" rel="nofollow">ints) 1. Create a variable for Time-to-event by subtractin" rel="nofollow">ing the start time (variable = start) from the stop time (variable = stop). Label the new variable “Time”. (10 Poin" rel="nofollow">ints) 2. Produce the appropriate descriptive statistics, numerical and graphical, for the followin" rel="nofollow">ing variables: (10 Poin" rel="nofollow">ints) o Event o Interval o Tx o Num o Size o Time 2. Kaplan-Meier Survival Analysis (Without factor or Strata) (30 Poin" rel="nofollow">ints) 0. Run a Kaplan-Meier analysis in" rel="nofollow">in SPSS, usin" rel="nofollow">ing Time as the Time variable and Event as the Status variable (Be sure to defin" rel="nofollow">ine the event). Do not add a factor or strata at this time. 1. Produce a Survival Table (you do not need to submit this) (10 Poin" rel="nofollow">ints) 2. Produce a plot of the survival function (10 Poin" rel="nofollow">ints) 3. What is the mean survival time (in" rel="nofollow">include confidence in" rel="nofollow">intervals)? What is the median survival time (in" rel="nofollow">include confidence in" rel="nofollow">intervals)? Why do you thin" rel="nofollow">ink they are so different from each other? (10 Poin" rel="nofollow">ints) 3. Kaplan-Meier Survival Analysis (With Factor) (30 Poin" rel="nofollow">ints) 0. Run a Kaplan-Meier analysis in" rel="nofollow">in SPSS, usin" rel="nofollow">ing Time as the Time variable and Event as the Status variable (Be sure to defin" rel="nofollow">ine the event). Add Tx as the factor. 1. Test the difference between Tx groups (Compare Factor) usin" rel="nofollow">ing Log-Rank, Breslow, and Tarone-Ware (10 Poin" rel="nofollow">ints) 2. Produce a plot of the survival function (10 Poin" rel="nofollow">ints) 3. Describe what the Overall Comparisons mean in" rel="nofollow">in terms of treatment groups and survival times. (10 Poin" rel="nofollow">ints) 4. Kaplan-Meier Survival Analysis (With Strata) (20 Poin" rel="nofollow">ints) ? Run a Kaplan-Meier analysis in" rel="nofollow">in SPSS, usin" rel="nofollow">ing Time as the Time variable and Event as the Status variable (Be sure to defin" rel="nofollow">ine the event). Add Interval as the Strata variable. ? Produce a plot of the survival function for each strata. (10 Poin" rel="nofollow">ints) ? Why would you want to produce Kaplan-Meier Survival Curves after stratifyin" rel="nofollow">ing for a variable? (10 Poin" rel="nofollow">ints)       See readin" rel="nofollow">ing material below Daniel, WW & Cross, CL. (2013). Biostatistics: A Foundation for Analysis in" rel="nofollow">in the Health Sciences. Hoboken, NJ: Wiley. • Chapter 14: Survival Analysis (pp. 750-767) Telke, S. E., & Eberly, L. E. (2011). Statistical hypothesis testin" rel="nofollow">ing: Associatin" rel="nofollow">ing patient characteristics with an in" rel="nofollow">incident condition: Kaplan-Meier curves, hazard ratios, and Cox proportional hazards regression. Journal of Wound, Ostomy, and Contin" rel="nofollow">inence Nursin" rel="nofollow">ing, 38(6), 621–626. Note: Retrieved from Walden Library databases.