5) offset = (0, 2) label= (a = 90) minor = none Īxis2 order = (0 to 200 by 50) minor = none ![]() Output out = figure11_4 RESMART = mgale Īxis1 order = (-2.0 to 1 by. Model time*ind(0) = wtime dtype type kscore Quit Section 11.3: Determining the Functional Form of a Covariate: Martingale Residuals data sec1_10 Label haz1 = "Estimated Cumulative Hazard Rate" Output out = fig11_t logsurv = ls /method = ch Output out = figure11_3 logsurv = h /method=ch Model t2*dfree(0) = z1 z2 z1xz2 g2 g3 z7 z8 Label haz1 = "Log Cumulative Hazard Rate" įigure 11.3 on page 332. Plot haz1*h = 1 haz2*h = 2 h*h=3 /overlay haxis=axis1 vaxis=axis2 Output out = fill_2b logsurv = ls /method = ch Label haz = "Estimated Cumulative Hazard Rates" įigure 11.2 on page 331. Plot haz*h =1 h*h =2 /overlay haxis=axis1 vaxis= axis2 5) minor = none Īxis2 order = (0 to 3 by. Output out = figure11_1b logsurv = ls /method = ch Īxis1 order = (0 to 3 by. Output out = figure11_1 LOGSURV = h /method = ch /*-logsurv is the cox-snell residual*/ We will use this dataset in this section. ![]() ![]() Section 11.2: Cox-Snell Residuals for Assessing the Fit of a Cox ModelĪ data step creates a data set called bone_marrow1, and it can beĭownloaded here.
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