Suppose a cutoff for excessive lifetime acetaminophen intake (L) is a level such that the risk of
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A logistic regression analysis was run using Stata relating disease status to lifetime acetaminophen intake divided by 100 (1 unit = 100g) denoted by ace_100. The results are given in Table 13.46.
Table 13.46: Logistic Regression relating decrease in GFR of ¥ 30% over 11 years vs. lifetime acetaminophen intake/100 (continuous variable)
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logit case ace_100 [fweight=freq] Iteration 0: log likelihood = -548.9024 Iteration 1: log likelihood = -543.33838 Iteration 2: log likelihood = -543.21443 = -543.21438 Iteration 3: log likelihood Logistic regression Number of obs = 1645 LR chi2 (2) = 11.38 Prob > chi2 = 0.007 Log 11kelihood = -543.21438 Pseudo R2 = 0.0104 P>|z| Std. Err. Coef. [95% Conf. Interval] case .0164116 .0047713 3.44 0.001 .00706 .0257633 ace_ 100 -2.381986 1101246 -21.63 0.000 -2.597826 -2.166146 cons
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