Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Favorites infavorites:mine
infavorites:1234
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with Search options user 137921

Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

2
votes
1answer
I'm referring to this paper : Model building strategy for logistic regression: purposeful selection http://dx.doi.org/10.21037/atm.2016.02.15 Data is created at the start and I'm unsure about …
asked Dec 21 '18 by baxx
1
vote
1answer
Context I'm not sure what to do in the scenario where one of the levels for a variable has so few levels that there's a good chance splitting the data into $70\%$ training $30\%$ testing will result …
asked Mar 3 by baxx
1
vote
2answers
to me how to justify the logistic model / curve. I have seen this post, this is not a question about whether or not binary logistic regression can be carried out using categorical predictors. What … I'm interested in is how to explain the use of the logistic curve in this model, as there doesn't seem to be a clear way like there is for a continuous predictor. edit data data that has been used …
asked Mar 31 by baxx
0
votes
0answers
After fitting a logistic regression model m I've run vif() on it and been given the following output GVIF Df GVIF^(1/(2*Df)) x1 6.040275 2 1.567704 x2 2.521120 …
asked Feb 25 by baxx
1
vote
3answers
Question A binary logistic regression model has been fitted, with the following output; Coefficients Term Coef SE Coef 95% CI Z-Value P-Value … (coefficients) to Odds Ratio and their interpretation in Logistic Regression with factors , talks about using categorical variables and has only one factor with three levels (red, orange, blue) Interaction Test …
asked Nov 17 '18 by baxx
1
vote
2answers
question Given a table such as : $$ \begin{array}{ll|ll} & A & {} \\ & & 0 & 1 \\ \hline B& 1 & 44 & 27 \\ &0 & 443 & 95 \end{array} $$ If I wanted to develop a logistic regression model …
asked Jan 15 by baxx
2
votes
2answers
variance. Could someone explain what this means in the context of logistic regression please. For example, suppose that the model was $$ \log ( \text{odds} ) = \beta_0 + \beta_1 x_1 $$ where $x_1 …
asked Apr 7 by baxx
0
votes
1answer
Suppose that the model had the following output: Estimate Std. Error z value Pr(>|z|) (Intercept) 0.07 0.33 0.21 0.829 x0_low …
asked Apr 4 by baxx