Linked Questions
10 questions linked to/from Computing prediction intervals for logistic regression
8
votes
1
answer
5k
views
Contribution of each covariate to a single prediction in a logistic regression model
Say, for example, that we have a logistic regression model which outputs the probability that a patient will develop a particular disease based on many covariates.
We can get an idea of the ...
9
votes
2
answers
2k
views
Does it make sense to generate prediction intervals for the estimates of a logistic regression?
Say I have a binary outcome of 0 or 1 and suppose I were to use logistic regression model to estimate the probability a new sample will have an outcome of 1.
I have read answers (for example here: ...
8
votes
1
answer
1k
views
Prediction intervals for the outcome of a logistic regression with binomial response
Suppose we have a logistic regression model:
$$\begin{align}
P(y=1\vert\mathbf{x}) &= p \\
\log\left(\frac{p}{1-p}\right) &= \boldsymbol{\beta}\mathbf{x}
\end{align}$$
Given a random sample $...
4
votes
1
answer
1k
views
Prediction interval for sum of observations from logistic regression
It is possible make prediction intervals for $Y\mid X=x$ where $X \sim \operatorname{Binom}(n,p)$ and $Y \sim \operatorname{Binom}(m,p)$ as answered in my previous question .
Now I wish to make a ...
3
votes
0
answers
1k
views
Calculating confidence intervals for ordinal logistic regression predictions
I'm looking to plot the predicted probabilities for an ordinal logistic regression for a 3-level factor with confidence bands around the prediction lines. I'm struggling with the proper way to ...
7
votes
0
answers
505
views
Is it possible to get a prediction interval for logistic regression via a latent variable?
carbocation asked how to compute prediction intervals for logistic regression. The answer was that prediction intervals don't make sense for logistic regression because the response variable only ...
4
votes
1
answer
217
views
Risk score uncertainty quantification
I am working on various risk score estimation problems. I assume individual subjects are associated with a true risk
$$ r_i = f(x_i, \varepsilon)$$
where $x_i$ is some available information about the ...
5
votes
1
answer
91
views
Understanding importance of regression coefficient standard errors in prediction
When being used for prediction on new individuals, I'm having some difficulty in understanding whether the standard error of coefficients in logistic or Cox proportional hazards regression models are ...
1
vote
0
answers
123
views
Estimating Prediction Intervals for Class Probabilities in Random Forests
I have found multiple questions here (e.g. this) and great academic papers (e.g. this and this) about calculating prediction intervals for Random Forest and other techniques applied to regression ...
2
votes
0
answers
53
views
How do I calculate confidence level or interval?
I have this data for exam grades in English Literature:
2019: the numbers achieving (A*, A, B, C, D, E) are (1, 5, 4, 7, 2, 0, 0)
2018: the numbers achieving (A*, A, B, C, D, E) are (2, 4, 3, 7, 0, 1, ...