Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
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Using R in Java Project
I hope this question is not off topic on CV:
I am currently fitting some different models (naive bayes, logistic regression...) in R which I up to now thought of as prototypes for a later Java ...
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1answer
51 views
How do I conduct a simulation using a logistic model with multiple covariates using R?
I'm investigating the asymptotic normality of the estimators of the logistic model. I wish to do a simulation to show that the standard error decreases as sample size n increases. Assume i have ...
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Recreate logistic regression equation from table of odds data
I'm reading the technical manual for a linking study between two assessments. It's pretty clear that the table is model output from a fitted logistic regression equation. Here's what pass odds look ...
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1answer
59 views
What method should I use to identify which variables differentiate between objects of two different classes?
To illustrate the problem posed by the question: Consider the problem of differentiating between consumers who belong to two different segments. I could use a naive or a sophisticated approach as ...
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2answers
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Fit a logistic regression code in R
If I have 10 Variables (Q,W,E,R,T,Y,U,I,P,A) and I want Q to be my response variable and other 9 to be my predictors variable. Do I write it in R like this
...
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1answer
28 views
Nested Models for Likelihood Test
If I have a logistic regression model with 3 predictors, $x_1$, $x_2$, $x_3$, and then I remove $x_3$ from my model (left with only $x_1$ and $x_2$), are those models nested? And therefore I can use ...
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201 views
Meaning of p-Value of logistic regression model variables
So I'm working with logistic regression models in R. Though I'm still new to statistics I feel like I got a bit of an understanding for regression models by now, but there's still something that ...
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1answer
71 views
Obtaining base level with margeff & gologit2 in STATA
I would be extremely glad if someone could help me with this.
I'm using the gologit2 generalized logistic regression/ partial proportional odds model for ordinal dependent variables. The dependent ...
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20 views
Output of logistic regression model [duplicate]
I have built a logistic regression model using SPSS to predict a variable (0 or 1)
The coefficients are as below: -0.005, 0.132, 1.349, -1.321,-0.265,-0.981, intercept = -1.522 when I sub in the ...
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1answer
25 views
Calculating trend for 3 dimensional data
Forgive me for a potential dupe, as I don't know the correct terminology for searching for an existing question. Also please add tag "trends" or similar, as I don't have the reputation to create new ...
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1answer
47 views
Logistic regression for ranking: how do you represent inter-human variation?
This machine learning contest in Kaggle has a benchmark solution that uses logistic regression: http://www.kaggle.com/c/predict-who-is-more-influential-in-a-social-network
The context provides data ...
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Binomial logistic regression in Java
does anyone have any idea of a Java library that performs binomial logistic regression? i've looked at the Kazanova, Weka libraries but does anyone know of any other?
thanks
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Convergence of batch gradient descent in logistic regression
I am not really sure about how it behaves when using batch gradient descent in logistic regression.
As we do each iteration, $L(W)$ is getting bigger and bigger, it will jump across the largest point ...
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62 views
Using logistic regression to fit a weird dataset
I have the variables $Y$, $x_{m1}$, $x_{m2}$, $\ldots$, $x_{mn}$, $x_{p1}$, $x_{p2}$, $\ldots$, $x_{pn}$, $x_{q1}$, $x_{q2}$, $\ldots$, $x_{qn}$.
$Y$ is the class label (0 or 1). $x_{mj}$, $x_{pj}$ ...
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1answer
37 views
Regression Estimation difficulties
My regression problem is properly formulated, but is encountering serious computational difficulties.
Dependent: $Y$ = multinomial
Independent: $X_1, \dots, X_{90}$ = linearly independent set of ...
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1answer
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Research paper - section dependent variable for logistic regression
In my paper, in the section methodology, I have a subsection called dependent variable. But since I am performing a logistic regression, there seem to be 2 (or even 3) things that could be named the ...
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1answer
41 views
Interpretation of probabilities from a mixed-model logistic regression
In the following model specification, which is a random intercept 2-level logistic regression:
Would two lower level units ($i$) with the same value of $x_{1ij}$ and within the same higher level ...
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2answers
79 views
Explain overfitting / data leakage to a colleague
I have a situation where we are calculating a customer life time value using some binary variables (ie have they purchased xyz widget?, etc.) and multiplying by a number that we believe approximates ...
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3answers
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Pros/Cons of recoding ordinal/nominal variables to target mean for logistic regression?
Say I have an independent variable with the following relationship to the binary dependent variable, DV:
...
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How do you generate synthetic sparse binary linguistic data for logistic regression?
I am trying to generate synthetic linguistic data (boolean features) to fit a binary logistic regression model. This is similar to 8260771 on StackOverflow and several synthetic data questions on this ...
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Evaluation of LMT (Logistic Model Tree) classifier results
I have been using the LMT Logistic Model Trees algorithm in some classification experiments.
However, after reading the reference/documentation regarding the algorithm (Niels Landwehr, Mark Hall, ...
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130 views
Is the Mundlak fixed effects procedure applicable for logistic regression with dummies?
I have a dataset with 8000 clusters and 4 million observations. Unfortunately my statistical software, Stata, runs rather slowly when using its panel data function for logistic regression: ...
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How to implement a fractional polynomial transformation in R for logistic regression
I'm working on a data set modeling road kills (0 = random point, 1 = road kill) as a function of a number of habitat variables. Following Hosmer and Lemeshow, I've examined each continuous predictor ...
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3answers
322 views
Cox model vs logistic regression
Let's say we are given the following problem:
Predict which clients are most likely to stop buying in our shop in next 3 months.
For each client we know the month when one started to buy in our ...
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1answer
80 views
Any technique other than Logistic
All my predictors are binary in nature. So far I have been building the model with the logistic fuction. Could anyone suggest any appropriate statistical technique keeping the following points in ...
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performing logistic regression with imputed variables
I am trying to to run a logistic regression (case-control) and the variable of interest is categorical, taking the values 0 to 6. For a subset of individuals, I do not have the exact value (0, 1 .. or ...
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1answer
54 views
Applying Recency In Logistic Regression
Are there any statistical concepts or theories on how to effectively measure recency to where recent events are given more weight than older ones. I'm creating a logistic regression model and would ...
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2answers
654 views
Binary panel logistic regression (xtlogit fixed effects) is not converging in STATA, how to resolve?
I have a panel dataset with a sample of 800 groups, each having between 200-500 observations. The data looks like this:
The dependent variable is binomial: ...
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Modeling pass rates for departments and courses within a school
Suppose I have a regression model, for example a logistic regression model, which provides a score between 0 and 1 reflecting whether or not that a student will pass a course given certain variables:
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3answers
171 views
Reporting of an interaction in a binary logistic regression
I've found some interesting results that I'm trying to write up appropriately, but I'm having a hard time finding any guidance into how to write up an interaction in a binary logistic regression ...
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59 views
Dealing with problems of logistic regression
How powerful is logistic regression as the main tool for statistical analysis of a study? It seems to have certain problems:
There are non normal error terms
We have non constant error variance
...
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2answers
80 views
Is there a multivariate version of logistic regression?
Based on readings with logistic regression, it appears that you could use this analysis to make predictions about categorical variables. Does logistic regression allow you to predict multiple ...
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44 views
Maximizing number of positive targets in first decile in logistic regression
When We estimate logistic regression using MLE we try to minimize $-2ln(likelihood)$, which is equivalent to minimization of sum of squared deviance residual.
Is it possible to fit logistic ...
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1answer
60 views
Log odds ratio and unadjusted log odds ratio when we have a continuous variable
Why bucketing of continuous variables is preferred in logistic regression ? What is the funda behind adjusted log odds ratio and unadjusted log odds ratio when we have a continuous variable ?
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143 views
Does every log-linear model have a perfectly equivalent logistic regression?
I am trying to fit a log-linear model to a large number of variables from survey data. There are some reasons that it might be preferable to fit logistic regressions to that data instead. Several ...
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1answer
107 views
Logistic regression model comparison
I want to use logistic regression to look at how a continuous variable that I have measured for a sample of participants (how long they looked at a product) is impacting a dichotomous variable ...
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32 views
Using different variables for each dependent value in multinominal logistic regression
I am not sure if this is possible, but my question is - Is it possible to use different sets of independent variables in the same model for different values in a multinomial logistic regression model? ...
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216 views
I'm not sure how to interpret my binary logistic regression output from SPSS
My dependant variable is diagnosis of cancer malignant being 0 and benign being 1. And my covariate is mean radius (of the tumour). I get this:
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1answer
95 views
Logistic regression with categorical data
I'm trying to apply logistic regression to the data with binary predictor. But some of my variables are numerical and some are categorical. If I just do this in R I get the model where for every ...
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97 views
Fitting a logistic regression using lassoglm in matlab
I am fitting a logistic regression model using lassoglm in matlab. I issued the following command
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1answer
62 views
Multiple comparison issue in multivariate logistic regression
I am assessing a bunch of risk factors related to HIV infection by logistic regression.
First I will conduct a couple of chi square tests or t-tests to see if each factor is associated with HIV ...
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2answers
143 views
In my logistic regression model one of the independent variables is redundant with the interaction term. How should I deal with it?
In my logistic regression is the dependent variable a dummy variable and I also have two independent variables. One of those is a dummy variable and the other is a metric variable. I also suppose an ...
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2answers
176 views
What does the logit value actually mean?
I have a logit model that comes up with a number between 0 and 1 for many cases, but how can we interprete this?
Lets take a case with a logit of 0.20
Can we assert that there is 20% probability ...
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1answer
145 views
How to interpret statistics (Emax, D, U, Q, B, etc.) of bootstrap validation of logistic regression
I'm only a linguist, so my knowledge of statistics is very basic.
I fitted a logistic regression model with R (with lrm(formula, y=T, x=T)), and when I use the ...
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Change in S.E of one variable when interaction term added to Binary Logistic Regression [duplicate]
I have 6 predictor variables and have carried out a binary logistical regression. I found that most variables significantly predicted the DV. However, I then wanted to find out if there was a ...
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44 views
Adding Predictors to a Logistic Regression Model
I am trying to understand how to add further predictors to my logistic regression model and still use the model coefficients to determine the predicted probabilities.
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2answers
109 views
Asymmetric S-shaped function mapping interval $[0, 1]$ to interval $[0, 1]$
In the literature, is there any asymmetric $S$-shaped function that maps the interval $[0, 1]$ to interval $[0, 1]$?
Unfortunately I can't post figure so I just describe what I mean in text. The ...
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0answers
76 views
categorical independent variable with three levels and binary logistic regression
I am not very experienced in statistics that's why you may find my question stupid. Anyway, I want to learn which level of a categorical independent variable should I look to interpret the odd ratios ...
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1answer
104 views
How are the p-values of the GLM in R calculated?
I have been running some binomial logistic regressions in R on a data set and I realised that the p-values of the estimated coefficients are not computed based upon a Normal distribution. For e.g. I ...
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1answer
43 views
How does Logistic regression classifier modelize the dataset?
I'm working on a system that be able to detect the hand contour. So I have 270 instance in my dataset: 7 class of hand contour, 8 feature vectors of each instance.
Firstly, I used Weka to determine ...
