7. In Example 4.6, assess predictive accuracy by sampling new binary data and assessing whether or not ynew equals the observed y. This provides what is called the sensitivity for binary data and is an example of model checking based on comparing the match between actual and predicted data (see Gelfand, 1996). On this basis it can be determined which of the log or logit links provide the highest predictive accuracy.