Refer to Exercise 4.1 on cancer remission. Table 5.10 shows output for fitting a probit model. Interpret the parameter estimates

(a) finding the remission value at which the estimated probability of remission equals 0.50,

(b) finding the difference between the estimated probabilities of remission at the upper and lower quartiles of the labeling index, 14 and 28,

(c) using a corresponding normal latent variable model,

(d) using characteristics of the normal cdf response curve.

Table 5.10 Table for Exercise 5.16 on probit model for cancer remission.

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Estimate Std. Error z value Pr(>|z|)

(Intercept) -2.31777 0.76060 -3.047 0.00231 LI 0.08785 0.03293 2.668 0.00763

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