Extended Data Fig. 4: Odds ratios of resistance to each of the antibiotics for past purchases of different drugs across a range of purchase-to-sample time intervals: adjustments for demographics and cross-resistance.
From: Personal clinical history predicts antibiotic resistance of urinary tract infections

a, Multivariate logistic regression models for the association of each antibiotic resistance with past purchases of the indicated drugs not accounting for cross-resistance (Methods: Logistic regression ‘Purchase history’. Same graphical scheme as in Fig. 4a,b). b, Logistic regression model as in a adjusted for cross-resistance (Methods: Logistic regression ‘Purchase history adjusted for cross-resistance’). c, Logistic regression model as in a adjusted for demographics (Methods: Logistic regression ‘Purchase history adjusted for demographics’. Gray asterisks indicate statistical significance and non-significant values, with Bonferroni corrected P > 0.05, are blanked.