A name given to the log-odds function, which maps probabilities to the real line.
The logit function is defined as
$${\rm logit}(p) = \log \left( \frac{p}{1-p} \right) $$
Questions tagged [logit]
505 questions
6
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What's the difference between Random Intercepts Model and linear model with dummies?
I am investigating factors that may agricultural household's decision on whether or not will they participate in land circulation. One of the existed literature argues that individuals at the village level may be similar from one to the other hence…
JoZ
- 689
2
votes
1 answer
Logit Variable Interpretation
If I have a rate variable, for example unemployment rate, that has been transformed such that $\text{unemployment new} = \ln(\frac{\text{unemployment}}{1-\text{unemployment}})$, how do I interpret this variable? I know the log distributes, so this…
Rebecca
- 193
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Does it matter than the difference between two parameters on the logit scale doesn't map to their difference on probabilty scale?
I am trying to understand some hypothesis testing results I am getting from a logistic regression analysis. Say I have 2 estimates of the log-odds of an event happening (the betas from my GLM). On the logit scale these these are
log.odd.trt1 <-…
N Brouwer
- 2,128
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Variance of log-odds probabilities
I am wondering how I could express the variance of log-odds into understandable terms.
For example the variance in the log-odds of crime being reported to the police between neighbourhoods is 0.07 (0.01), and the mean log-odds is -0.65 (0.03). Just…
Marloes
- 790
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May I mix continuous/fractional, and binary variables as independent variables in logistic regression?
Doesn't the different distribution shapes of the respective variables (e.g., binary vs. fractional) influence the regression coefficients per se?
As the binary variable represents only "extreme values" of the fractional variable, 0 or…
1
vote
1 answer
How do I interpret logit?
I have been recommended the logit link for data in (0,1) since it's interpretable... how?
I am using the logit link function for data which is continuous (i.e., this is not logistic regression ... think beta regression.)
That is, I have the…
Radisz
- 21
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Interpretation of logit regression coefficients
I have a logit model that I am constructing, and I have seen different explanations on the interpretation of the beta coefficients. I think I understand both mathematically, but wanted clarification and insight as to which one to use. My Wooldridge…
Tanner
- 31
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Logit Model for leaching test results
I was kindly wondering whether you could shed a light onto the following concerns.
I have a data where there are 10-12 independent variable (Heavy metals) against 1 dependent variable (being hazardous or non-hazardous).
The sample size would be up…
Jonpromie1
- 35
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Should I log-transform my independent variable?
I have an independent variable "military expenditure" in a logit regression predicting the likelihood of a state participating in a specific military exercise. The distribution of mil. expenditure is strongly right-skewed, which is why I consider…
NoMoreIdols
- 43
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What does it mean to have a "greater than" sign in a logit function parameter
I am reading a machine learning paper and at some point they write the likelihood of the observed data using $logit$ function in their model. However, they have a $>$ symbol in the parameter of the logit function, something like $logit(\alpha > uv)$…
user5054
- 1,549
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Treat categorical variables as continuous under interactions/
there are 13 variables which have been regressed using the logit. All the variables are categorical variables. Now my aim is to see the interaction between two variables. When I run my logit, it runs out of degrees of freedom and hence the STATA…
