
#1
Jun910, 02:15 PM

P: 4

Hi,
Lets say I have the following attributes... Body fat percentage, Body mass index Outcome = obese (yes / no) I have data for all attributes and outcomes. What I'd like to do is a joint probability. For example I'd like to know what the probability is of someone being obese given their BMI and body fat percentage. I can calculate the correlation between the attributes and the outcomes. My intuition tells me that I need to combine the correlation in some way, but can't seem to find any information on this. Can someone point me in the right direction?  Sid 



#2
Jun910, 02:39 PM

P: 300

I don't know about joint probability, but I'd say something like this would do:
P(being obese) = P(person with BMI x being obese) * P(person with Body Fat Percentage n being obese) http://en.wikipedia.org/wiki/Joint_p...y_distribution 



#3
Jun910, 03:13 PM

Sci Advisor
HW Helper
P: 2,483

You should look into regression analysis with a limited (binary) dependent variable, "limdep."
See "logit" and "probit" under: http://en.wikipedia.org/wiki/Limited_dependent_variable 



#4
Jun910, 08:31 PM

P: 300

Probability of an outcome given multiple attributes
It sounds like you're actually looking at discrete choice modeling: http://en.wikipedia.org/wiki/Discrete_choice
Found this under the article that Enuma linked to. 



#5
Jun1010, 10:46 AM

P: 4

Thanks for all the help. Will look in to all the links now and see which one suits my needs.
 Sid 


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