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Dear All, I'm having just a little terminology problem, relating the language used in the Hosmer and Lemeshow text on Applied Survival Analysis to that of the help that comes with the survival package. I am trying to back out the values for the baseline hazard, h_o(t_i), for each event time or observation time. Now survfit(fit)$surv gives me the value of the survival function, S(t_i|X_i,B), using mean values of the covariates and the coxph() object provides me with the estimate of the linear predictors, exp(X'B). If S(t_i|X_i,B)=S_o(t_i)^exp(X_iB) is the...

...ernels n=1010 # n=1010 ker=1 # ker=1=>Epan; ker=0=> Gaussian h0=c(0.00452,0.001984) # set initial bandwidths z=seq(-0.05,0.05,by=10) # grid points nz=length(z) # number of grid points x=rnorm(1010, mean=0, sd=0.0077) # simulate x-N(0,0.0077^2) if(ker==1){h_o=2.34*n^{-0.2}} # bandwidth for Epanechnikov kernel if(ker==0){h_o=1.06*n^{-0.2}} # bandwidth for normal kernel f1=kernden(x,z,h0[1],ker) f2=kernden(x,z,h0[2],ker) f3=kernden(x,z,h0[3],ker) f4=kernden(x,z,h0[4],ker) text1=c("True","h=0.0025","h=0.00...

For me it is hard to c^ontr_'ol my weight cause I always thi~n.k l~i,ve near Pizzahut or Domin-.os could be such a blessing. Dy http://u.q.goodbetterrx.com usa m'~ed-s & nextday s_hi.p,pi.ng lull, broken by Hannah, who stalked in, laid two h_o`t turn-`overs on the table, and stalked out again. These turn_`overs were an institution, and the g_i-rlsc~a,ll^ed them `muffs', for they had n^^o others and found the h^o.t pies very comforting to their hands on cold mornings. O'CONNELL Trust me, -----Original Message----- From: Trinidad...