Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

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Note: varð^b 1 þ^b 3 Þ¼varð^b 1 Þþvarð^b 3 Þþ 2 covðb^ 1 ;^b 3 Þ.
See Chap. 5.


  1. The working covariance matrix pertains to the covari-
    ance between responses from the same cluster. The
    covariance matrix for parameter estimates pertains to
    the covariance between parameter estimates.

  2. Wald test:H 0 :b 3 ¼0 for Model 1
    Test statistic:z^2 ¼(0.2136/ 0.7993)^2 ¼0.069;
    P-value¼0.79
    Conclusion: do not rejectH 0.

  3. Score test:H 0 :b 3 ¼0 for Model 1
    Test statistic¼0.07 test statistic distributedw^2 1df
    P-value¼0.79
    Conclusion: do not rejectH 0.

  4. dORðfrom Model 2 Þ:expð 0 : 3104 Þ¼ 1 : 36 ;
    dORðfrom Model 3 Þ:expð 0 : 3008 Þ¼ 1 : 35 :
    The odds ratios for RX are essentially the same
    whether SEQUENCE is or is not in the model, indicat-
    ing that SEQUENCE is not a confounding variable by
    the data-based approach. From a theoretical perspec-
    tive, SEQUENCE should not confound the association
    between RX and heartburn relief because the distri-
    bution of RX does not differ for SEQUENCE¼ 1
    compared to SEQUENCE¼0. For a given patient’s
    sequence, there is one observation where RX¼1, and
    one observation where RX¼0. Thus, SEQUENCE
    does not meet a criterion for confounding in that it is
    not associated with exposure status (i.e., RX).


Chapter 16 True-False Questions:



  1. F: a marginal model does not include a subject-
    specific effect

  2. T

  3. T

  4. T

  5. T

  6. logitmi¼b 0 þb 1 RXiþb 2 SEQUENCEi
    þb 3 RXiSEQiþb 0 i

  7. dORðwhereSEQUENCE¼ 0 Þ¼expð 0 : 4707 Þ¼ 1 : 60
    dORðwhereSEQUENCE¼ 1 Þ¼expð 0 : 4707  0 : 2371 Þ¼ 1 : 26

  8. dOR¼expð 0 : 3553 Þ¼ 1 : 43
    95 %CI:exp½ 0 : 3553  1 : 96 ð 0 : 4565 ފ¼ð 0 : 58 ; 3 : 49 Þ

  9. The interpretation of the odds ratio, exp(b 1 ), using the
    model for this exercise is that it is the ratio of the odds
    for an individual (RX¼1 vs. RX¼0). The interpreta-
    tion of the odds ratio for using a corresponding GEE


688 Test Answers

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