Hi

A colleague in a different department posed an interesting question that I've been giving more thought to lately. Basically, a scientist here has developed an online calculator for predicting risk of an event. You can go in an enter attributes (age, sex, etc) and it will spit out a risk score.

I'm convinced on the backend it's using some sort of a multivariable logistic regression. If I wanted to reverse engineer the regression equation, how might I do that (theoretically)? I have no real interest in determining it, and in fact I can probably locate the published paper the calculator was created with and view the estimates, but conceptually, if I didn't have access to it, how might I do that?

Assume there are 4 inputs - age(categorical), sex(binary), height(continuous), and prior history of some disease (binary).

I imagine using the calculator several times under a variety of situations, possibly leaving one particular input at a time, while setting the other 3 to zero. Can anyone help formulate how I might recover the regression parameters? I'm really curious now!

Cheers,

A colleague in a different department posed an interesting question that I've been giving more thought to lately. Basically, a scientist here has developed an online calculator for predicting risk of an event. You can go in an enter attributes (age, sex, etc) and it will spit out a risk score.

I'm convinced on the backend it's using some sort of a multivariable logistic regression. If I wanted to reverse engineer the regression equation, how might I do that (theoretically)? I have no real interest in determining it, and in fact I can probably locate the published paper the calculator was created with and view the estimates, but conceptually, if I didn't have access to it, how might I do that?

Assume there are 4 inputs - age(categorical), sex(binary), height(continuous), and prior history of some disease (binary).

I imagine using the calculator several times under a variety of situations, possibly leaving one particular input at a time, while setting the other 3 to zero. Can anyone help formulate how I might recover the regression parameters? I'm really curious now!

Cheers,

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