Healthcare Analytics 101 – how data looks like and what you can

Let's face it, you wouldn't have real data to work on before you are hired to look at it! – These data are proprietary, sensitive and confidential.

The question is: when are you going to be hired if you have no experience on it?!

Here is one solution, let's simulate it! By the way, we use R, for: it's free; and it's prestigious.

Now suppose: The Pioneers is a healthcare firm, it's CEO Jack would like to know how many members they the firm has been doing business with (not a joke, most such firms don't know this:)).

For us, this is easy, let's say we've got 1000:

mbrpool <- 1000; mbrid <- (1:mbrpool)

Of course, we need to find what kind of people they are:

rand0n1 <- rbinom(mbrpool,1,.484)
gender <- factor(rand0n1,levels=c(0,1),labels=c('F','M'))


– Shall we continue?