### Modeling Live Births from Population Counts: A First-Time MCMC Model

suid

infant-safety

pediatrics

epidemiology

statistics

In my previous post, I estimated risk of sudden unexpected infant death in census tracts while acknowledging that I was using

**the wrong denominator**. I should have been using the count of live births in each census tract, but I have not been able to find counts of live births at such a fine geographic scale. The data we do have available from the U.S. Census is the count of children under five years old (5yo) per census tract, so I was using that as a proxy for the count of live births over a five year period. In the future, I want to be more accurately approximate the true denominator.### What Makes Bayesian Methods Different and Why Should I Care?

suid

infant-safety

pediatrics

epidemiology

statistics

In my last post, I showed how to estimate risk of sudden unexpected infant death (SUID) in census tracts using Bayesian methods. The Bayesian approach is a separate branch of statistics from the Frequentist approach that most of us learned in school. Historically, Frequentist methods were so dominantly favored, many people may not have been aware that the statistics they were learning were termed “Frequentist” and that there was an alternative “Bayesian” approach available.

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