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A binomial logistic model was fitted to age, sex, and inclusion date using treatment group as the dependent variable ( We matched subjects 1:1 on the logit transformation of the propensity score by nearest-neighbor (greedy) matching without replacement, using a caliper width equal to 0.2 x the (pooled) SD of the transformed propensity scores ( For multiple imputed datasets, matching and statistical analyses were performed separately on each resultant dataset, and the statistical estimates were finally pooled

Their whole job in this industry is to create a unique compound for individual patients based on patient-specific prescriptions

The authors also caution that oversimplified headlines and social media summaries can blur important distinctions between cancer subtypes and exaggerate risk

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