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logrank

Comparing survival curves of two groups using the log rank test
Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each population). This function uses the Kaplan-Meier procedure to estimate the survival function (KMPLOT), so if it misses, logrank will try to download it from FEX.

Syntax: logrank(x1,x2,alpha,censflag)

Inputs:
      X1 and X2 (mandatory)- Nx2 data matrix:
                (X:,1) = survival time of the i-th subject
                (X:,2) = censored flag 
                        (0 if not censored; 1 if censored)
      note that if X is a vector, all the flags of the second column
      will be set to 0 (all data are not censored).
      ALPHA (optional) - significance level (default 0.05) 
      CENSFLAG (optional) - Censored Plot flag (default 0). If 0
      censored data will be plotted spreaded on the horizontal
      segment; if 1 they will be plotted at the given time of
      censoring.
Outputs:
      Kaplan-Meier plot
      Log-rank statistics

      Created by Giuseppe Cardillo
      giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2008). LogRank: Comparing survival curves of two groups using the log rank test http://www.mathworks.com/matlabcentral/fileexchange/22317