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Investigators conduct a case-control study of pancreatic cancer. Data were enter

ID: 3324379 • Letter: I

Question

Investigators conduct a case-control study of pancreatic cancer. Data were entered into STATA and analyzed via logistic regression, with outcome defined as case status (1 if subject has pancreatic cancer, 0 if not), and predictors defined as coffee drinker (1 for yes, 0 for no) and smoking status (1 for yes, 0 for no). Use the STATA outputs to answer the questions. In each response, state the output(s) you are using, unless it is already indicated in the problem.

OUTPUT A. logistic case coffee

Logistic regression                               Number of obs   =        223

                                                  LR chi2(1)      =      11.03

                                                  Prob > chi2     =     0.0009

Log likelihood = -148.87714                       Pseudo R2       =     0.0357

------------------------------------------------------------------------------

        case | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

      coffee |   2.877778    .941664     3.23   0.001     1.515402    5.464956

       _cons |   .7142857   .1117801    -2.15   0.032     .5256124     .970685

------------------------------------------------------------------------------

OUTPUT B. logistic case smoking

Logistic regression                               Number of obs   =        223

                                                  LR chi2(1)      =      14.63

                                                  Prob > chi2     =     0.0001

Log likelihood = -147.07355                       Pseudo R2       =     0.0474

------------------------------------------------------------------------------

        case | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

     smoking |   2.971429   .8637126     3.75   0.000      1.68091    5.252743

       _cons |       .625   .1074299    -2.73   0.006     .4462403    .8753692

------------------------------------------------------------------------------

OUTPUT C. logistic case coffee smoking

Logistic regression                               Number of obs   =        223

                                                  LR chi2(2)      =      19.01

                                                  Prob > chi2     =     0.0001

Log likelihood = -144.88428                       Pseudo R2       =     0.0616

------------------------------------------------------------------------------

        case | Odds Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

      coffee |   2.071308   .7262949     2.08   0.038     1.041777    4.118269

     smoking |   2.383469    .737036     2.81   0.005     1.300151    4.369433

       _cons |   .5678218   .1018896    -3.15   0.002     .3994597    .8071443

------------------------------------------------------------------------------

OUTPUT D. cc smoking coffee [freq=n]

                                                         Proportion

                 |   Exposed   Unexposed |      Total     Exposed

-----------------+------------------------+------------------------

           Cases |        37          43 |         80       0.4625

        Controls |        18         125 |        143       0.1259

-----------------+------------------------+------------------------

           Total |        55         168 |        223       0.2466

                 |                        |

                 |      Point estimate    |    [95% Conf. Interval]

                 |------------------------+------------------------

      Odds ratio |         5.975452       |    2.941207     12.2855 (exact)

Attr. frac. ex. |         .8326486       |    .6600036    .9186032 (exact)

Attr. frac. pop |            .3851       |

                 +-------------------------------------------------

                               chi2(1) =    31.29 Pr>chi2 = 0.0000

a)Is smoking status related to case/control status, ignoring coffee consumption? Answer this question by interpreting an appropriate association measure and by using its corresponding 95% confidence interval to assess the association. Is this relationship potentially causal? Briefly justify your response.

a.

b)Is smoking status related to coffee drinking, ignoring case/control status? Answer this question by interpreting an appropriate association measure and by using its corresponding 95% confidence interval to assess the association. Is this relationship potentially causal? Briefly justify your response.

c)Does smoking meet the 3 criteria for being a confounder of the relationship between pancreatic cancer and coffee drinking? Justify your answer (use calculations from the problems above to support your point).

Explanation / Answer

a)smokers case have 2.97 times higher risk of pancreatic cancer and it ranges from 1% to 4%. yes smoking status is realted since its p value is less than 0.05(standard tolerance limit).

controls have 0.625 times higher risk of pancreatic cancer and it ranges from 0.4 to 0.8

b) Yes, they are relate since odds ratio is 5.95 which is greater than 1. so it is highly correlated. it lies between 2% to 12%

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