Refer to Table 6.16. Apply conditional logistic regression to the model discussed in Section 6.7.8. a. Obtain
Question:
Refer to Table 6.16. Apply conditional logistic regression to the model discussed in Section 6.7.8.
a. Obtain an exact P-value for testing no C effect against the alternative of a positive effect. Construct a 95% confidence interval for the conditional CD odds ratio.
b. Construct the partial tables relating C to D for the combinations of levels of (A, L). Note that three tables have no data when C = 1. For the sole partial table having data at both C levels, find a 95% exact confidence interval for the odds ratio and find an exact one-sided P-value. Compare to results using the entire data set. Comment about the contribution to inference of tables having only a single positive row total or a single positive column total.
c. Obtain the ordinary ML fit of the logistic regression model. To investigate the sensitivity of the estimated C effect, find the change in the estimate and SE after adding one observation to the data set, a case with no diarrhea when (C, A, L) = (1, 1, 1).
Table 6.16:
Step by Step Answer:
a To obtain an exact Pvalue for testing no C effect against the alternative of a positive effect we can use conditional logistic regression The conditional logistic regression model can be specified a...View the full answer
