 Usage:  {cil, kme, ciu} = hazkpm(data{,alpha})  

 

 Input:



  data                   n x (p+4) matrix, the first column is the sorted 

                         survival time t, followed by the sorted delta, 

                         inidcating if censoring has occured, labels l, a 

                         column containing the number of ties, and lastly, 

                         the sorted covariate matrix z. 

                         

  alpha                  scalar, the confidence level, optional, 

                         default = 0.05 

                         

 Output:



  cil                    n x 2 matrix, the first column is the sorted 

                         t, followed by the Greenwood lower confidence 

                         bound for the survival function at the points of t. 

                         

  kme                    n x 2 matrix, the first column is the sorted 

                         t, followed by the Kaplan-Meier estimates of the 

                         survival function at the points of t. 

                         

  ciu                    n x 2 matrix, the first column is the sorted 

                         t, followed by the Greenwood upper confidence 

                         bound for the survival function at the points of t. 

                         

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(C) MD*TECH Method and Data Technologies, 21.9.2000

