This tool provides automatic calculation of Observed and Relative Survival.
Relative Survival (RS) can be interpreted as the proportion of alive patients after T years of follow-up in the hypothetical situation that
cancer is the only possible cause of death. The tool returns a table and two different types of graphs.
The table contains the number of individuals at risk, the follow up (in years), the Observed and Relative Survival and its confidence intervals
for the overall individuals and also stratified by the strata columns defined in the data file.
The first graph describes the observed survival, the expected survival and its confidence intervals along the follow up.
Each figure represents a category from the strata variables.
The second graph shows the relative survival and its confidence intervals. A figure per each strata variable is shown.
The age group and sex specific mortality rates used for the calculation of relative survival are updated for the period 1993-2013.
Files must be ASCII type, ";" separated and unquoted values (i.e: ".txt" or ".csv" files).
Data file (click here
to view an example):
a) followUp: Time of follow-up for each individual expressed in years
b) status: 0 = alive; 1= dead
c) age: Age fot each individual at the beggining of the study
d) sex:1= male; 2= female
e) yearInit: calendar year for each individual at the beginning of the study
If the user wants to make an statistical analysis according to stratification variables, he can add more optional columns in the data file (see below).
User must add as many columns as stratification variables wants to include in the analysis. The name of each stratification variable is specified by the user.
f) Strata: one or more columns depending of the number of the stratification variables. In each column the user must define the stratification variable categories.
Note: Regardless of the mandatory sex column to perform the analysis was included in the data file, if you want to have the analysis stratified by sex it is necessary to enter another column with the sex description.
Confidence value (1-α): The confidence value to calculate the confidence interval of observed and relative survival. It has to be between 0 and 1 (usually 0.95).
NOTE: This process could take some minutes!!