hi, we have botanical data and need to analyze this sort of scenario, in terms of students for the simplicity of explenation:
we have a series of competitions or trials, each one involves 2 individuals at a time, and each trial has 2 new individuals. We test for a binary score - win or loose in the test, and want to see if parameters of the individuals affect this result. The parameters are a mix of parametric such as age etc., and categorial ones, such as the school the each individual comes from. So the trials are independent among them, but naturally the result of each trial depends not only on the winner's paremters but also on his oponents. We could think of any simplr mixed efect and/or nested logistic model. Any suggestion? is it possible to to a regression analysis on this? or any other statistics? someone suggested Bayesian inference due to the categorial parameters we have some prior data on, but we prefer not to use Bayesian methods. Thanks for the help.
we have a series of competitions or trials, each one involves 2 individuals at a time, and each trial has 2 new individuals. We test for a binary score - win or loose in the test, and want to see if parameters of the individuals affect this result. The parameters are a mix of parametric such as age etc., and categorial ones, such as the school the each individual comes from. So the trials are independent among them, but naturally the result of each trial depends not only on the winner's paremters but also on his oponents. We could think of any simplr mixed efect and/or nested logistic model. Any suggestion? is it possible to to a regression analysis on this? or any other statistics? someone suggested Bayesian inference due to the categorial parameters we have some prior data on, but we prefer not to use Bayesian methods. Thanks for the help.