Explanation:
In Bayesian inference, P(A) is the prior probability, representing initial belief about hypothesis A before observing evidence B; P(A|B) is the updated posterior probability.
Explanation:
SDR applies age-specific death rates to a standard population age distribution, removing the confounding effect of age composition to reveal true differences in mortality risk.
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