1. A method, implemented on at least one computer, for analyzing a likelihood of biomedical factors contributing to a greater risk of falling in humans, comprising: inputting base data into at the least one computer, the base data including dependent variables representing biomedical factors associated with the humans; and calculating, using the at least one computer, results of a latent class analysis based on the inputted base data, using the formula f ⁡ ( x j ) = ∑ k = 1 K ⁢ η k ⁢ ∏ i = 1 1 ⁢ π ik x ij ⁡ ( 1 - π ik ) ( 1 - x ij ) , to determine a correlation between the biomedical factors and a probability of falling, where x j is the response vector of an individual j taken from a sample of J individuals, x ij is the presence or absence of a response on variable i for an individual j in class k, II ik is the probability of a positive response on variable i for an individual in class k and η k is the probability that a randomly chosen individual is in class k, and K is the number of classes.