What does the variable β 1 mean in the 2nd logistic regression (Table 13.63)? How does it

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What does the variable β1mean in the 2nd logistic regression (Table 13.63)? How does it differ from the meaning of β1in the 1st logistic regression (Table 13.62)? 


Two logistic models were run with Stata Version 11 using these data. For the 1st model (Table 13.62) we fit

Logit (Pi) = Î± + Î²1x1 + β2x2

Where x1 = age at menarche (1 represents ‰¥ 12, 0 represents < 12),

X2 = race (1 = African American, 0 Caucasian).

For the 2nd model (Table 13.63) we fit

Logit (Pi) = Î± + Î²1x1 + β2x2 + β3x1x2

Table 13.62 Logistic regression of ovarian cancer on age at menarche and race

 logit case ageatmenarche race [fweight=freq] Logistic regression Number of obs 1907 LR chi2 (2) 15.76 Prob > chi2 0.0004


Table 13.63 Logistic regression of ovarian cancer on age at menarche, race, and age at menarche × race

 logit case ageatmenarche race agemenarche_race [fweight=freq] Logistic regression Number of obs 1907 LR chi2 (3) 18.66 P

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