# logit model

1. ### Using Bayesian statistics to improve classification task

I have a question regarding a classification problem that I think it can be addressed using Bayesian statistics, but I am not familiar with Bayesian statistics and it would be great to get some support. Suppose a traditional medical test says that the probability of a random sample of patients...
2. ### Logit Model_Predictive Regression

I want to know your mind about one point related to logit regression model. I am using logit model for my analyzing. My key independent variable is the lagged; hence, it is predictive regression. So, my dependent variable is 0 and 1. These 0 and 1 is related to the time of the day. To make it...
3. ### conditional logit model_help with data interpretation

0 down vote favorite I have performed a clogit following the instruction of Aizaki et al.2012 but I am not sure on how to interpret some results that seems quite strange. A brief explanation of what I am trying to do:I am looking at the tourist preference on different mountain habitat in...
4. ### Interaction terms with non-signficant main effects

I am using a logit model to do the analysis on my dissertation data. 2 of the variables interact, so I have an interaction term. My question is 2 parts: 1. When I run the model without the interaction term, one of the main effects is not significant. Can I still include the interaction term...
5. ### calculate marginal effects using mlogit package

Hi R-users I try to calculate marginal effects of a multinomial logistic regression. To do this i use mlogit package and effects() function. Here is how the procedure works (source : effects() function of mlogit package) : data("Fishing", package = "mlogit") Fish <-...
6. ### Probit/Logit independent variables

Hello, My DV is a binary variable (Yes/No) and I am using a logit/probit regression analysis. As for my independent variables,there are three I'm primarily interested in. They are all ordinal categorical variables,each of which is of the form: Strongly Agree Agree Indifferent Disagree...
7. ### Large logit coefficient - what it means

I am constructing a logit model with 6 explanators, trying to predict outcomes of hockey matches using odds (the variable I am referring to below) and other variables. I'm just looking for some information on why a logit model may produce very a large coefficient (13.3186), how one should deal...