Tagged Questions
1
vote
1answer
63 views
How do I compute a cutoff based on sensitivity/specificity when the characteristics of my sample is different from the population?
I have a dataset containing the performance of a novel instrument to screen for disease A. The novel instrument uses a scoring system to score the subject to determine if they have disease A. I then ...
2
votes
2answers
533 views
Residuals for Logistic Regression and Cooks Distance
1) Are there any particular assumptions regarding the errors for logistic regression such as the constant variance of the error terms and the normality of the residuals?
2) Also typically when you ...
2
votes
1answer
184 views
Logistic regression and complementary log log model
is there like a diagnostic checking(like those in the time series) done for logistic regression and complementary loglog model?
3
votes
1answer
814 views
Explanation of R diagnostic plot for logistic regression
I'm hoping someone can explain this bit of R code for me related to glm(). I don't understand the diagnostic plot that has been suggested. It seems a more ...
2
votes
0answers
138 views
“Brute force” expected deviance for logistic regression?
A commonly used goodness of fit statistic for logistic regression is the deviance. This is also known as the likelihood ratio chi-square statistic. It is defined as:
$$D=\sum_{i=1}^{N}d_i^2$$
...
8
votes
2answers
7k views
Likelihood ratio test in R
I'm not sure if I'm asking something stupid or off topic here, but I can't think where can I ask this question.
suppose I am going to do a univariate logistic regression on several independent ...
