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

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Mixed model random effects term is arbitrarily correlated to dependent variable, does it bias model?

I have a mixed model where a random effects term I am thinking about including is totally arbitrarily related (in a non-informative way) to the response variable. I would not include it as a predictor ...
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25 views

Model selection in binary logistic regression

I have 3 possible "final" models in binary logistic regression (N=176, Number of events = 36). Now I am trying to decide which one to select. It´s clear,"All models are wrong, but some are useful", ...
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21 views

How to determine seasonality of a binary variable?

I have a dependent binary variable Y, and an independent date variable X. I want to find out if there is any seasonality (at the year level). A few notes: The binary variable is in my model ...
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Parameter Estimates and redundancy

I was wondering if someone can help report the finding on this table. I'm so confused with my Exp(B) being so high and theme nations being redundant. Thank you
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1answer
26 views

Is there an Equivalent of “proc surveylogistic” in R?

A colleague told me about "proc surveylogistic" in SAS -- see details here -- is there an equivalent function in R?
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Logistic Regression: Should I include a non-significant variable that notably increases the OR of a significant variable?

I am studying the effect of different pollutants on the probability of a genetic mutation. My binary logistic regression models are as follows: Model 1: Dependent variable: genetic mutation (binary ...
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Why can you use wald-test but not t-test in logistic regression

The books I read about logistic regression always use the wald-test or the lr-test for testing the significance of the coefficients. But they don't mention why others such as t-test cannot be applied. ...
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code for the fixed effect (conditional) and the random effect model in SAS using panel data and a logistic+multinomial logistic model [on hold]

With respect, I am using a panel data for my thesis and I am Using SAS 9.4 for the analysis. I was wondering if I could have the chance for your advice relative to writing the codes for the model in ...
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How to determine counts of viruses from limiting dilution assay

My question relates to a common experiment in the field of virology. Let me give some background so you understand why I'm asking this question. When producing virus for an experiment you typically ...
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Can a random effects intercept variable be highly but coincidentally correlated to a response variable?

Issue- I'm creating a logistic mixed model where the response variable (if a plot falls within an active bird lek area) is highly related to a term I may include as a random effects term (grazing ...
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30 views

How would Y-aware PCA for binaries look?

I recently stumbled upon Y-aware PCA in the blog of win-vector. They describe how PCA can be adjusted not to explain variation in $X$ but covariation of $X$ and $Y$. This is explained for the case ...
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SPSS statistics data file - how to deaggregate dechotomous variables for logististic regression [on hold]

I want do to a logistics regression with data in a SPSS statistics data file. The independent variable is a set of sites, and the independent variable is success. The dependent variable information ...
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Logistic regression in R when data when variable is a number of observations in a set of categories, not indicator (dummy variable) [on hold]

I have data in the form, let's say, factor1 | factor2 | number of observations in given levels of fctr1, fctr1. How do I perform logistic regression?
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9 views

What approach statistical approach for multiple observations but different treatment/control participants?

I have multiple observations over a period of time. Each observation has a different treatment group and a different control group. I am interested in understanding whether behavior was different at ...
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10 views

Understanding vglm/propodds regression output in R

I was wondering if I could have some help analyzing the output from a regression. Some background on what I'm trying to find/my data: I am trying to determine if immigration status is a determinant ...
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7 views

select the variables in the eqation binary logistic in spss [on hold]

I have run binary logistic spss in order to check the significance in 9 categorical predictors in my master theses. When comes to output in the box of variables in the equation i dont know to what to ...
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7 views

Which methods are used to define scoring bands when constructing a scorecard

I've constructed a credit scoring model using logistic regression. The range of scores go from 0 to 1000 (0 being very good and 1,000 being very bad). Now I'm designing the final score report and in ...
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1answer
42 views

Predictive model developement for logistic regression?

In the statistical courses I've taken, which are mostly introductory, when I have a model I would make hypotesis tests to reduce it to the simplest form and am effectively done. It is my understanding ...
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1answer
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Can logistic regression be used with “years” as a continuous variable?

We are currently collecting data for a study whose purpose is to show whether scientists are focusing more or less on a specific subject with time. To keep some privacy let's say the subject is jelly ...
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1answer
5 views

Subselect Package R - The covariance/total matrix supplied is not symmetric?

I was trying out the Subselect R package to see how it worked and if it would be useful for a logistic regression problem I'm working on. Link to the package. I decided I would follow Example 4 on ...
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18 views

VGAM - “propodds” in R

I am trying to use "propodds" in the VGAM function in R, but am not sure if I am doing it right and don't really understand how to analyze the output I got so far to check to see if I am using it ...
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15 views

vglm using 'propodds' in R

I am trying to use "propodds" in the VGAM function in R, but am not sure if I am using the function correctly. If I am using the function correctly, I could use some help understanding the output. ...
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28 views

Using logistic regression to estimate whether probability of an outcome is greater than chance (and by how much)?

I have an outcome variable that is subjects' correct or incorrect responses to a single question asked at two time points (before and after the experiment). I want to know if subjects were better than ...
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13 views

Calculating the likehood from the coeficients of logistical regression

I am doing a logistical regression and need to calculate the likehood from the null model and from each feature model and to after that get the p-value.The problem states: a) Create a model that ...
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5answers
81 views

Is there a way to run this logistic regression with separation?

I want to run a logistic regression with a binary outcome (correct vs incorrect) and three predictors: condition (2 levels: A and B), and time (2 levels: before and after), and their interaction. I've ...
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1answer
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Really weird results for a logistic model - is it due to high frequency of one value on response variable?

I am trying to test whether experimental group (a vs b) influences the probability of some binary outcome, but the model results are strange. The code I'm using: ...
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1answer
14 views

Test of interaction in logistic regression

I know that it's pretty much impossible to test out all the combinations of interaction with sufficiently many predictors, but if I were to suspect some interaction between two particular predictors ...
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How to detect the outliers in logistic regression while dealing with the R programme ?

I have a data set and its response variable consists of only two results that are success and failure.That's why I used logistic regression method to construct a model. However, I don't know how I ...
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1answer
9 views

Stata: Logistic regression with one fixed effect variable [closed]

I have run a logistic regression in which i have 9 predictors (including region) and now i have to run another logistic regression but this time with regional fixed effects as well... how can i do ...
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80 views
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Categorizing Continuous Random Variable in Logistic Regression

I have a Bernoulli response variable and I am going to fit a logistic regression. One of my independent variables is a continuous random variable and I would like to categorize it before fitting the ...
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54 views

logistic regression vs support vector machines

I can understand the logistic regression depends on entire data and support vector machines depend on support vectors, but could not understand when and why should I use svm or logistic regression. ...
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18 views

Model selection for logistic regression gam with two factors (one within, one between)

I am trying to analyse my data using bam. And I would greatly appreciate your advice as to the appropriate analyses. The experimental design is: There are two groups of participants, "CAT" and "PA" ...
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Interpreting high deviance in logistic regression ANOVA output

I'm performing logistic regression. I notice when I introduce one of my variables 'admissions_R,' which is a continuous count of the number of admissions, that the deviance is quite high. However, I'm ...
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Why doesn't the logistic regression model include error? [duplicate]

I know it comes from the fact that y is a vector that only has binary values, but I'm looking for a better explanation...
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3answers
214 views

Does likelihood ratio test control for overfitting?

I have two nested logistic regression models, A and B. A is nested under B. Let's say B has $K$ more features than A. B has a higher log likelihood than A. However the improved likelihood of B is due ...
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23 views

Colinearity and eigenvalue

I'm doing a binary regression with two predictors, one continuous and one binary. To check for collinearity I looked at the correlation .444, at the VIF 1.13 and 1.18 and the % of eigenvalue share. ...
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25 views

How to evaluate model improvement using cross validation?

I have two logistic regression models A and B. A is nested under B, i.e., A's features are the subset of B's features. To evaluate both models, I use 10-fold cross validation: (1) train A and B on ...
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Indoor location using WiFi Signals and Machine Learning

I am trying to determine in which zone of a building a person is located based solely on the strength of the WiFi signals her cellphone gets. Currently, we are making measures with an Android App, for ...
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34 views

Significant model but not the predictors? (Logistic regression) [duplicate]

I'm doing a binary regression, with two predictors one binary and one continuous. I'm using the enter method. I want to know if my model can be significant when I compare it to the model with only ...
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1answer
33 views

What the interpretation when both the non-squared and squared term are significant?

I have a logistic regression model and added for a curvelinear effect both the non squared term and a squared term to the regression model. They are however, both significant. How do i interpret this? ...
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Explaining Odds Ratio and Relative Risk to the statistically challenged

I'm peer-reviewing a manuscript for a psychology journal in which I believe the authors have mixed up odds-ratio and risk-ratio. They are being so stubborn in their insistence that they have not mixed ...
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Newton-Raphson method for multiclass logistic regression

In my book (Bishop) there is a nice iterative algorithm for computing $w$ for logistic regression using Newton-Raphson method: $E(w) = -\ln p(t|w) = - \sum^N_{n=1} \{ t_n \ln y_n + (1-t_n) \ln ...
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1answer
28 views

Calculate the confidence interval of log odds using a linear combination?

I'm performing occupancy modeling (wildlife science) to determine the difference between a change in control vs. treatment sites over time (before vs. after). I first calculated the occupancy odds ...
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1answer
28 views

Difference between logistic regression and chi-square for analysis with no covariates?

I have a binary response variable (0s and 1s), the distribution of which that I want to compare to chance. I understand I could use logistic regression or a chi-square test to do this and that these ...
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1answer
25 views

Likert-type data in Logistic Regression

I have Likert-type data (ranked as 1 least important to 7 most important) for both dependent and independent variables. Can I use multinomial logistic regression? My second question is, if the ...
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2answers
116 views

Lasso for “cherry picking”

I use Lasso logistic regression in order to identify a smaller subset of important variables. I start with N=51 (28/23) and 32 predictors. So far it looks pretty promising, because i can identify ...
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gam.check() NA results (k-index, p-value) of a gam logistic regression model [closed]

I am using bam for a mixec-effects logistic regression model: b0<-bam(acc~ 1 + igc + s(ctrial, by=igc) + s(sbj, bs="re") + s(ctrial, sbj, bs="re") , data=data, family=binomial) ...