Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
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Goodness of fit vs. significance
If you had two models - one with a better fit, and one with predictors of higher significance - which one would you choose?
Keep in mind that both models are considered a good fit. One has a 3% ...
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18 views
Nested Logit model in r
I am trying to run a nested logit using mlogit in R to analyze data from choices people made. There are 4 possible alternatives they could choose from, but in any given choice situation a person had ...
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mlogit in R, trouble setting up multinomial regression
The situation is as follows:
We asked N people which object they would prefer out of a group sized from 2 to K, where each object had a characteristic X~[0,1].
Some people were asked what object ...
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20 views
When to use ridge estimator / naive Bayes
I used the Logistic function in weka, to predict a binary class. I have used SimpleLogistic before, but Logistic also seem to give me good results. I did want to clarify if I understand some things ...
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45 views
Large scale Cox regression with R (Big Data)
I am trying to run a Cox regression on a sample 2,000,000 row dataset as follows using only R. This is a direct translation of a PHREG in SAS. The sample is representative of the structure of the ...
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53 views
Which is applicable, ordinal or multinomial regression model?
I have done a job satisfaction survey where the DV is a 7 point Likert type scale and 5 IVs with 6 point Likert-type scale and 6 IVs with 5 point Likert type scale, all ordinal.
Which type of ...
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18 views
Singularity issues in multinomial logit model with differing choice sets
I am estimating a discrete choice model in which individuals choose which schools to attend.
I have a large amount of data on individuals and schools. However, each particular school only appears in ...
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1answer
28 views
What value is conditional logistic regression if two cohorts are already matched on everything of interest?
My situation is this:
I am comparing two cohorts
I have matched the two cohorts on all of the factors that I am interested in
The two cohorts are already balanced on all of the factors that I would ...
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17 views
Logistic regression path model
I am trying to estimate a path model consisting of several categorical variables, i.e. the path model has logistic regressions in it. To simplify, let's say:
...
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34 views
Given the below dependent variable description, should I chose either Ordered or Multinomial logistic regressions?
My dependent variable looks like a range of ranks. It actually might be considered that way. But the ranking is based on subjective non-quantifiable cutoffs. We assessed the behaviors of a group of ...
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19 views
Looking for a regression model or other statistics models for competitions
We have botanical data and need to analyze this sort of scenario, in terms of students for the simplicity of explanation:
We have a series of competitions or trials, each one involves two individuals ...
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1answer
86 views
I log transformed my dependent variable, can I use GLM normal distribution with LOG link function?
First of all, thank you for the great forum!
I have a question concerning Generalized Linear Models (GLM).
My dependent variable (DV) is continuous and not normal. So I log transformed it (still not ...
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22 views
explaining an extremely large coefficient in a rare events logistic regression
I am running a rare events logistic regression on a binary dependent variable. I have 538 observations and only 10 events (so 528 values of 0 and 10 of 1), which is why I chose to use a rare events ...
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1answer
26 views
Power analysis for minimum sample size for 6 continuous predictors and 1 dichotomous criterion
My study has 6 continuous predictor variables and a dichotomous criterion variable. The IRB wants me to provide a power analysis, which I take to mean how I decided on number of participants to ...
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1answer
65 views
Which machine learning algorithm should I use?
I have one dependent binary categorical variable, and one independent continuous variable. There is a lot of randomness deciding the result of the dependent variable.
The relationship between the ...
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1answer
56 views
Why do Minitab and SPSS give opposite results in Ordinal Logistic Regression?
I run an ordinal logistic regression model using both SPSS and Minitab. The dataset is exactly the same. The results are exactly the same, but in opposite directions. I have not manipulated default ...
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35 views
Transforming a continuous covariate into a discrete one in logistic regression
I am largely inexperienced in the area of logistic regression. I was wondering if there were a good way to transform a continuous covariate in a logistic regression into a discrete one by subdividing ...
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39 views
Getting the bootstrap-validated AUC in R
In a paper by Faraklas et al, the researchers create a Necrotizing Soft-Tissue Infection Mortality Risk Calculator. They use logistic regression to create a model with mortality from necrotizing ...
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Logistic regression, “sum” confidence interval
I have an existing fitted logit regression model.
Model:
$\hat{p}(x)=\frac{1}{1+e^{-\hat{\beta}x}}$
With parameter estimates $\hat{\beta}$, and observation $x$
Given a new set of datapoints ...
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Find good features
I am trying to find out what variables are important in predicting how many points are scored in the first half of basketball games so I can plug these into a logistic regression. I know that betting ...
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1answer
37 views
Multinomial logit model
Why do we need to use a base category (normalised to zero) when working with multinomial logit models?
I would also like to ask why do we need to report conditional logit coefficients?
Wouldn't ...
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2answers
51 views
How to do 4-parametric regression for ELISA data in R
I am a biology student. We do many Enzyme Linked Immunosorbent Assay (ELISA) experiments and Bradford detection. A 4-parametric logistic regression (reference) is often used for regression these data ...
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83 views
Validation of conditional logistic regression model with CoxReg (SPSS): must use residuals from CoxReg?
I have developed a case-control study, matched 1:2, and I have addressed the conditional logistic regression analysis with COXREG (SPSS), via recode. The model runs OK (confirmed with Stata).
In the ...
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56 views
Logistic regression: Fisher's scoring iterations do not match the selected iterations in glm
it happened to me that in a logistic regression in R with glm the Fisher scoring iterations in the output are less than the iterations selected with the argument ...
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39 views
Data fitting question
I have a dependent variable named "D"
and two independent variables named "V" and "H".
The D variable can take the values 1 or 2 or 3 or 4 or 5.
The H variable values can be H1, H2, H3, H4.
Same ...
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42 views
Standard Error In Logistic Regression
I recently asked a friend what an "acceptable" standard error is for a coefficient in conditional logistic regression, and I got the logical, "it depends" response.
Knowing that every model or study ...
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73 views
How to test a curvilinear relationship in a logistic regression
I was looking for some information about curvilinear relationships (quadratic function, to be precise) in logistic regression online, and couldn't really find much about it.
I am interested if that ...
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80 views
Significance of categorical predictor in logistic regression
I am having trouble interpreting the z values for categorical variables in logistic regression. In the example below I have a categorical variable with 3 classes and according to the z value, CLASS2 ...
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Bias of maximum likelihood estimators for logistic regression
I would like to understand a couple of fact on maximum likelihood estimators (MLEs) for logistic regressions.
Is it true that, in general, the MLE for logistic regression is biased? I would say ...
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49 views
Interpreting the changing significance of a variable in a Logistic Regression
I am testing the relationship between two variables (Similarity index; Years patenting) on a binomial dependent variable via a Logistic regression in SPSS.
I tried two models as you can see bellow in ...
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57 views
Not all Features Selected by GLMNET Considered Signficant by GLM (Logistic Regression)
I wanted to create a predictive model of mortality after patients had undergone a surgical procedure. But I also wanted to avoid doing what most researchers do by first performing univariate analysis ...
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2answers
151 views
What are the implications of a perfect fit model?
I perform logistic regression with a relatively small dataset (N=65), using 12 parameters (11 variables, one constant, no interactions), which results in a perfectly fitting model (in SPSS). I have a ...
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25 views
Log-linear vs. logistic model notation in LEM
I am not sure whether anyone still uses LEM for categorical analyses (log-linear, logistic, latent class models etc), I hope there are old-school individuals out there :)
So, I have a model, which ...
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54 views
Understanding the two-stage choice paradigm
In Manski - The structure of random utility models the following example is proposed:
Consider the alternative set space a = $(\alpha,\beta,\gamma)$ with the attribute representation: $X = ...
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Sharing a model trained on confidential data
I have a regularized logistic regression model using scikit-learn and would like to share it with others, however the data it is trained on is confidential and must remain protected. The model uses ...
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OLS Regression for binary outcome [duplicate]
When is it appropriate to use linear regression for a binary outcome?
I understand that it is conventional to use logistic regression for a binary outcome because it generates a linear list of ...
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1answer
40 views
Shares on total as dependent variable
I would like to ask for your help with the following issue. I am trying to estimate the model where dependent variable is a share of total (e.g. share of the US economy in terms of GDP on total world ...
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53 views
Should I categorise my continuous variable for use in binary logistic regression
DV: work response dummy, (1=household increased work, 0=hh did not increase work)
IV: family size (continous variable)
I am doing a logistic regression on these variables. My concern is that I know ...
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help deriving quadratic approximation to logistic regression cost function
I am reading Friedman et al's paper Regularization Paths for Generalized Linear Models via Coordinate Descent, specifically the portion on logistic regression. I'm trying to figure out how they ...
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103 views
Testing independence hypothesis in logistic regression
One of the primary hypotheses in logistic regression theory is the independence of observations. Once the model is fitted to the data (using likelihood maximization procedure for example), I am ...
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Constructing a missing-dummy; why doesn't SPSS recognize the 'missings'?
A short question concerning the constructing of a 'missing-dummy', which I will consequently add to my logistic regression. This missing-dummy gives value '1' to the cases where data concerning a ...
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221 views
Logistic regression model manipulation
I would like to understand what the following code is doing. The person who wrote the code no longer works here and it is almost completely undocumented. I was asked to investigate it by someone who ...
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54 views
Role of coefficients in model selection for logistic regression
I have a model that I am using to predict mortality and it gives me an AUC of 0.799. The R code that I am using would look something like this:
...
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39 views
Several logistic Regressions vs multinomial regression
Is it viable to do several binary logistic regressions instead of doing a multinomial regression? From this question: Multinomial logistic regression vs binary logistic regression I see that the ...
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1answer
138 views
Wald test for logistic regression
As far as I understand the Wald test in the context of logistic regression is used to determine whether a certain predictor variable $X$ is significant or not. It rejects the null hypothesis of the ...
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52 views
Combinatorics problem applied to GAM Logistic regression. R code
I'm doing biomedical research and I need to set a GAM Logistic Model which get the maximum AUC score as possible. I have 4 disease markers; $Y_1, Y_2, Y_3, Y_4$ with different data in each one, and ...
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1answer
41 views
Logistic regression vs MLE of conditional probability
I am trying to build a classification model from a large dataset (50M instances) with a categorical independent variable (pred) and a binary dependent variable ...
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36 views
Comparison with trial dependent chance level
I ran an experiment where each participant had to choose 1 image from a 4-image display and I measured whether the image they chose was from category A. I want to compare the average proportion of ...
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101 views
Logistic model, what is more important: Anova Chi-sq test or significance of coefficients
I have a logistic model with 8 variables. I ran a chi square test in R (anova(glm.model,test='Chisq')) and 2 of the variables turn out to be predictive when ordered at the top of the test and not so ...
