 Usage:  {betahat, betak, ck} = hazbeta(data, {maxit})  

 

 Input:



  data                   n x (p+4) matrix, 

                         column 1: the sorted observed survival time t, 

                         column 2: the cosorted censoring indicator delta, 

                         column 3: labels l, 

                         column 4: number of ties at time t[i], cosorted, 

                         columns 5 to p+4: the cosorted covariate matrix z. 

                         This data matrix may be obtained through hazdat.xpl. 

                         

  maxit                  scalar, maximum number of iteration for the 

                         Newton-Raphson procedure, default = 40. 

                         

 Output:



  betahat                p x 1 vector, estimate of the regression 

                         parameter beta 

                         

  betak                  maxit x p matrix, parameter values through the 

                         Newton-Raphson procedure 

                         

  ck                     maxit x 1 vector, convergence criteria values 

                         through the Newton-Raphson procedure 

                         

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

