[Steps Shown] Follow these instructions to carry out a product moment (survival) analysis of the smoking data: Use the "code" command to create a censoring


Question: Follow these instructions to carry out a product moment (survival) analysis of the smoking data:

  1. Use the "code" command to create a censoring column for all of the subjects who continued to abstain from cigarettes at 365 days. Code the values 0-364 days as a "0" and 365 days as a "1" in column 5 (Number follow-up days abstained) and place in a new column called "Censored".
  2. Click on the "Stat" menu, then the "reliability/survival" option, then the Distribution Analysis (right censoring) option; the "Nonparametric distribution analysis" option;
  3. Under the "Nonparametric distribution analysis - right censoring" menu; put Column 5 (Number follow-up days abstained) in the Variables box by double clicking on it in the window on the upper left;
  4. Then click on the "by variable" box (a check mark will appear), next click on the box directly to right and your variable list will appear in the upper left hand box. Double click on Column 6 (Treatment Group) and it will be transferred to the "by variable" box;
  5. Next, click on the Censor button to the upper right of the menu. A new menu will appear. Click on box below the "use censoring columns" and your data columns will appear to the upper left. Double click on the "Censored" column you created in 8.a. (above) and it should be transferred to the box; then, type in a "1" in the "Censoring value" box and click on "OK". You will return to the main menu.
  6. Finally, click on the "Graphs" button on the main menu. Click on the box by "Survival plot" (a check mark will appear), then click on OK to return to the main menu.
  7. Click on "OK" from the main menu to run the analysis.

You should get back a comparative statistical analysis, together with a Kaplan-Meier Survival Plot.

  1. Print the Kaplan-Meier Plot; then hit the – sign in the upper right to minimize the plot;
  2. Using the Kaplan-Meier chart, estimate the proportion of treated participants still abstaining from cigarettes at 200 and 300 days;
  3. estimate the proportion of untreated participants still abstaining at 50 and 100 days;
  4. what proportion of treated and untreated patients continued to abstain from cigarettes at the end of the study?

Price: $2.99
Solution: The downloadable solution consists of 4 pages
Deliverable: Word Document

log in to your account

Don't have a membership account?
REGISTER

reset password

Back to
log in

sign up

Back to
log in