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

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Unequal distribution of dependent variable

I performed a logistic regression on my data where the dependent binary variable $Y$ have $0$ & $1$ values and the independent variables $X$ being binary as well as continuous. The regression ...
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1answer
27 views

Logistic regression with bootstrap, how to interpret high standard errors and choose coefficient?

I am attempting to do a logistic regression bootstrap with R. The problem is I get high SE's. I'm not sure what to do about this or what it means. Does it mean that bootstrap does not work well for my ...
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11 views

confidence interval for probabilities in logistic regression with random intercept

I have fitted (by glmer lme4 in R) a logistic regression model with a random intercept (depending on individual j), i.e. I know the std.dev and mean value for the intercept in the normal ...
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9 views

Combining r-square from clusters

I have a dataset which is split into multiple clusters first - say two clusters, $C1$, and $C2$ with $n1$ and $n2$ data points. I fit a regression model per cluster. For our example, let them be $M1$ ...
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13 views

Categorical Vs Ordered factors as independent variables in logistic regression & random forest in R? [on hold]

I am a newbie, just started learning predictive modeling through R. Could anyone please explain if there will be any difference in the modeling if we change the ordinal factors to categorical factors ...
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30 views

Testing linear restriction of parameters of ordered logistic regression models

Given the ordered logistic regression model: $outcome=\beta_0+\beta_1X_1+\beta_2X_2+\beta_3X_1*X_2$ Can I test linear restrictions on the parameters? For example I would like to test $H_0: ...
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9 views

No beta weights for a group in logistic regression

I am running a multinomial logistic regression with the multinom function in R, nnet package. I have four response categories (1, 2, 3, 4) that correspond to results from a clustering approach over 2 ...
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9 views

Calculating effect sizes for mixed effect logistic regression to determine subsequent sample size

We conducted a previous preliminary study using 40 participants. We analyzed the data using the lme4 package in R to conduct a mixed effect logistic regression. We ...
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18 views

Do I need to categorize likert responses so I can use logistic regression?

I'm conducting a research project to evaluate burnout level among critical care nurses and whether this level can be related to other variables (age, workload, unit, etc). Burnout level is measured ...
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2answers
52 views

How to compare (probability) predictive ability of models developed from logistic regression?

I know some well-known measures are $c$ statistic, Kolmogorov-Smirnov $D$ statistic. However, as far as I know, those statistics take into account only of the rank order of the observations, and is ...
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30 views

How do I use weight vector of SVM and logistic regression for feature importance?

I have trained a SVM and logistic regression classifier on my dataset for binary classification. Both classifier provide a weight vector which is of the size of the number of features. I can use this ...
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13 views

Encode special values in continous predictors

I have continuous variable with missing values. Missing values are of different types (indicated by special values such as 991, 992). How do I best encode my data for logistic regression? I can create ...
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21 views

Natural Resource Management: How do I estimate the odds ratio and confidence intervals from model-averaged estimates?

I'm currently working on a model selection analysis in the field of natural resource management. My research question is: what variables are important to an avian species nest site selection. My ...
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214 views

Interesting Logistic Regression Idea - Problem: Data not currently in 0/1 form. Any solutions?

I am attempting to conduct a logistic regression for a tennis analytics project, endeavoring to predict the probability of a player winning a point in which he is the server. My response variable ...
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15 views

Logistic regression: Include a specific time variable to account for unexplained changes over time?

I am measuring the effect of specific marketing activities on the likelihood to buy a product. The Marketing activities start on a specifc date. All the products sold before this date a marked with a ...
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19 views

Logistic regression in R, basing on which class(0 or 1) in dependent variable the modelling is performed

In R and in binomial logistic regression to be specific, the modelling is based on which class amongst 0 and 1? And if it builds model based on 1 by default, is there a parameter or something in which ...
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27 views

Logistic regression in R, basing on which class(0 or 1) in dependent variable the modelling is performed [on hold]

In R and in binomial logistic regression to be specific, is the modelling done based on which class amongst 0 and 1? And if it builds model based on 1 by default then is there a parameter or something ...
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1answer
36 views

Logistic regression is appropriate? Forecasting player’s serve point win % as a binary variable, w/ both numeric and categorical independent variables

I effectively want to model the probability of a player winning his service point (a point in which he is the server) based on the values of explanatory variables (namely court surface and opponent ...
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24 views

why in logistic regression the probability mass equal the count

It's said that logistic regression is well calibrated and preserves marginal probability. What does that mean? Thanks.
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3answers
319 views

Is it right to build a logistic model for population with 2% of yes and 98% no population with 800k obs and 200 variables

I have a dataset which has has some 800,000 observations data at member level with some 200 features and it has a response flag of 1/0. The proportion of response 1 flag is 2% of entire member ...
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10 views

coding for multinomial logistic regression dv

I have run a multinomial logistic regression. One of the 3 IVs is categorical and has 5 levels and the one DV is categorical and has 6 levels. I coded the levels from 1-5 for the IV and 1-6 for the ...
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7 views

Interpretation of standardized beta coefficient estimates and use within the exponential formula for prediction purposes

I'm working on a data set where I plan to use logistic regression to evaluate non-random habitat selection for a wildlife species. My dependent variable is 1 = used location by an animal and 0 = ...
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35 views

Logistic Regression modeling in R

Consider this model: $Y_i$ ~ Bernoulli($\pi_i$) $X_i$ = 0,1 logit($\pi_i$) = $\lambda^{X_i}$ * $\beta_0$ This model simplifies to logit($\pi_i$) = $\beta_0$ , when $x_i=0$ , and logit($\pi_i$) = ...
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58 views

Comparing mutation frequency between a case and a pool of controls

I"m working in genomics and trying to come up with the appropriate statistical test for my question. To call mutations in a tumor's DNA, we use sequencing that samples from the total population of ...
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27 views

Different ways to produce a confidence interval for odds ratio from logistic regression

I am studying how to construct a 95% confidence interval for odds ratio from the coefficients obtained in the logistic regression. So, considering the logistic regression model, $$ ...
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Visualizing multi-class ROC analysis [duplicate]

I am running a multinomial logistic regression model (with 3 possible outcomes) in R. I am trying to find the best way to assess the predictive power/accuracy of the model, and the best thing I've ...
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1answer
91 views

Nagelkerke value equals 1. Why?

I have run a logistic regression model, which leads to acceptable results (e.g., McFadden's R2 >10%). However, the Nagelkerke value is always 1, which seems like a failure to me (using the comand ...
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62 views

what's wrong with my data? [closed]

Sorry,owing to my reputation,I have to delete the above word. Originally I just want to copy this page's method,the author use titanic data to analyze relationship between fare and survivor. And I ...
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27 views

K-fold cross validation [closed]

I'm working on a data set that contains used (value= 1; animal locations) and random locations (value = 0). I'm using logistic regression to assess non-random habitat selection. I have 6 continuous ...
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14 views

Strange selection results, ridge logistic regression

I'm studying ridge logistic regression with glmnet on R. I have a lot of regressors which are dummies. I'm trying to maximise the AUC (prediction of a binary output). My question is about the graph ...
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12 views

Multinomial logistic regression, how to treat conditions without variance?

Currently I need to conduct a multinomial logistic regression, but my output shows an error message and incomplete results. I expect this is due to the fact that in one of my conditions, all ...
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22 views

mfp implementation in Stata and R [closed]

I am applying multivariate fractional polynominals on data, which have 30000 (observations) x 20 (variables). Surprisingly, mfp in R is quite fast (10 minutes), but mfp in Stata is very slow (stuck ...
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33 views

Statistical technique to apply in Airline Industry [closed]

I am working to Airline Industry data where frequency of travelers in a year is up to 1. I need to increase the frequency of the travelers using some predictive modelling approach so that campaign ...
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19 views

Multilevel logistic regression model

I have a dataset in which the DV is a binary choice outcome on a task trial. My IV's include binary stimulus property on the same task trial (e.g., stimulus is blue or red) as well as individual ...
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21 views

K-fold cross validation dealing with an interaction term

I'm working on a logistic regression analysis and have a data set that contains ~12,000 data values (~6,000 values = 1; ~6,000 values = 0). I would like to use a k-fold cross validation process to ...
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1answer
45 views

How to extract Type III Fixed effects under the glmer procedure?

I need to extract the Type III fixed effects for reporting in a manuscript but cannot figure out how to extract this information. Specifically, I.m requesting a hypothesis tests for the significance ...
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44 views

Random effects--mixed model

I have 2 study sites containing data from a species of wildlife. I am trying to evaluate resource selection use a use vs. availability analysis where used animal locations = 1 and random locations = ...
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1answer
31 views

GLMER and Model is nearly unidentifiable: very large eigenvalue

I'm working on a logistic regression analysis using the lme4 package and function glmer. I built the following model: ...
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19 views

Use Logistic Regression Literature for Logit Discrete Choice Models

I'm currently developing a binary logit Discrete Choice Model (DCM) in the context of my thesis. Obviously, I want to develop the model following academic standards. A few questions have been arising: ...
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13 views

Alternate terms, or definition for functional logistic regression

I have recently come upon a paper discussing "functional logistic regression." I could not find literature related to functional logistic regression. Is there a different name for this kind of ...
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36 views

Inconstant logistic regression coefficients each time algorithm is run [SOLVED] [closed]

I'm running a logistic regression to find a relationship between falls and drugs taken by someone. What happens is that every time I re-run the algorithm it gives a different result. The table is ...
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18 views

How to use Weight vector of SVM and logistic regression for feature importance?

I have trained a SVM and logistic regression classifier on my dataset. Both classifier provide a weight vector which is of the size of the number of features. I can use this weight vector to select ...
0
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1answer
16 views

How to derive formula for marginal probability of choosing nest in nested logit model?

I am trying to understand all the details of the nested logit and what confuses me is the formula for marginal probability of choosing the nest. In more details: the joint probability of individual n ...
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1answer
25 views

Clarification on the rule of 10 for logistic regression

Been brushing up on my logistic regression and I've seen a couple of things about the one in ten rule. To illustrate my current understanding (or lack thereof) lets consider a case with only two ...
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112 views

Bayesian logit model - intuitive explanation?

I must confess that I previously haven't heard of that term in any of my classes, undergrad or grad. What does it mean for a logistic regression to be Bayesian? I'm looking for an explanation with a ...
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1answer
28 views

How do I calculate the odds ratio in a logistic model with an interaction term (categorical)?

In the following logistic regression model, I am trying to model the logit of Y, where Y is a binary variable (Yes or No). Let my model be: logit($Y$) = $\beta_0$ + $\beta_1$*$x_1$+ $\beta_2$*$x_2$+ ...
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158 views

Difference in output between SAS's proc genmod and R's glm

I'm trying to replicate a model fitted in SAS in R but the fit I'm getting gives me slightly different coefficients and standard errors. Data: ...
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Why sigmoid function instead of anything else?

Why is the de-facto standard sigmoid function, $\frac{1}{1+e^{-x}}$, so popular in (non-deep) neural-networks and logistic regression? Why don't we use many of the other derivable functions, with ...
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16 views

Is there a way to do logistic regression model selection of up to 5 variables each from a pool of ~70 variables

I'm trying to determine the best logistic regression model to estimate the probability of 0 in streamflow rates. My response for the glm object is one vector of the sum of all the days the recorded ...
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85 views

How to cross validate stepwise logistic regression?

I have a conceptual problem understanding how to cross validate stepwise logistic regression. Every time the training set is divided it is very likely that different features are chosen based on the ...