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1 vote
1 answer
90 views

One sided likelihood ratio test for a logistic regression model?

I need to run a one-sided test on one parameter of a logistic regression model: $H_0$: $\beta = 0$ $H_1$: $\beta \geq 0$ I want to avoid Wald-equivalent methods as these are known to have problems ...
Mohan's user avatar
  • 939
0 votes
1 answer
44 views

How do I quantify the effect of a factor with many levels?

I want to look at the effect of brood ID on fledging success (a binary variable) in a sample of wild birds. Brood ID has ~150 levels. I have performed a likelihood ratio test comparing two logistic ...
Emadeel's user avatar
5 votes
1 answer
269 views

How to use the Likelihood Ratio Test and Wald Statistic when also using Cross Validation?

I am currently writing a paper for uni and stumbled across the following problem: I want to use the 10 Fold Cross Validation method to validate the results of a logistic regression, but I am unsure ...
MauM99's user avatar
  • 53
0 votes
0 answers
39 views

Assumptions in logistic regression for applying LRT and AIC criteria

I have a question. Do the following assumptions in logistic regression Linearity between the log-odds and the continuous covariates Non multicollinearity Absence of outliers need to be satisfied ...
user586431's user avatar
0 votes
1 answer
118 views

Testing independence and setting constraint matrices in a multinomial logit model in R

I have a data set the looks like this (called rand_df as this is a random subset from the much larger dataframe): ...
David Smith's user avatar
1 vote
1 answer
888 views

Adding covariates in chi-squared test or proportions test?

I am having trouble figuring out what analysis is appropriate for my research question. I've been googling for the past few days but couldn't find the answer. I would greatly appreciate it if anyone ...
user avatar
1 vote
1 answer
2k views

Significant coefficients but non-significant likelihood ratio test [closed]

Following a comment on this thread, I have a question about interpreting a logistic regression model with significant coefficients, but non significant likelihood ratio test. I have a super simple ...
becbot's user avatar
  • 111
2 votes
1 answer
1k views

Should you still report or interpret odds ratios on levels of a factor if the likelihood ratio test is not significant?

I am running a logistic regression to study the association between a three-level factor and a binary outcome, after controlling for covariates. My sample is small to medium (~800). The likelihood ...
Mark's user avatar
  • 335
3 votes
2 answers
808 views

Which statistical test to compare same model with different parameters?

I have two datasets on people buying apples based on weight and price. One dataset in 2019 the other in 2020. I estimate a logit model with Utility = betaWeight * weight + betaPrice * price. Training ...
A M's user avatar
  • 31
15 votes
3 answers
4k views

Why use the Wald test in logistic regression?

Some statistical software use the Wald statistic when reporting on the regression coefficients. As examples, R and Stata report Wald by default. The logistic regression article on Wikipedia says, ...
Single Malt's user avatar
1 vote
0 answers
751 views

How to calculate confidence intervals for logistic regression predictions? How does `statsmodels` do it in `summary_frame`?

I am fitting a logistic regression in Python's statsmodels and want a confidence interval for the predicted probabilities. This has been easy to get using ...
Dave's user avatar
  • 65k
7 votes
1 answer
2k views

LRT comparing a random effects model and nested logistic regression model

I have a logistic regression model of the structure y ~ x1 + x2, and a generalized linear mixed model (GLMM) with random intercept and random slope, of the ...
bob's user avatar
  • 725
1 vote
1 answer
927 views

"scale" in logistic regression

I am working on translating some R code into Python's statsmodels package, chiefly some logistic regression work that I've done, when I came across the following in ...
Dave's user avatar
  • 65k
2 votes
1 answer
216 views

likelihood ratio test for logistic regression with a complete separation

Can likelihood ratio test be used for logistic regression in the case of complete separation? I understand that individual parameters can go to infinity so Wald's test is not recommended, but does ...
rep_ho's user avatar
  • 7,709
2 votes
0 answers
741 views

Comparing LM, LR and Wald Test in Logistic regression model

I want to test omitted variables and I perform 3 tests: $Wald$, Likelihood Ratio ($LR$) and Lagrange Multiplier ($LM$) test. My model is a linear model with a polynomial element ($x^2$). I found a ...
user11924386's user avatar

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