Questions tagged [logistic]

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

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Logistic regression for propensity analysis

I have a basic question as I am new to Data Science. I have a typical problem where I need to estimate the effect of an intervention between experimental and control groups. I read propensity matching ...
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Logistic regression alternative with non continuous predictor variables

I have a data set where I have a binary dependent variable but my predictors are mostly categorical or binary, with a couple of predictors that are continuous. The other thing with my data set is ...
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How to condense categorical variable into one variable

I am running a logistic regression, with Gender as the predictor. My issue is that when including "School" into the model I obtain this in the summary output: ...
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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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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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Logistic regression - odds ratio and significance

I'm working with logistic regressions for the first time, and I'm trying to wrap my head around my results. I've read tutorials and other posts here on CV quite extensively, but I'm still unsure that ...
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734 views

Glmer: Factor response variables versus numeric response variables

Using a linear mixed effects model, I am investigating the drivers of forest loss in parks. The drivers of forest loss are (dist_city, dist_road, altitude, slope, altitude and rainfall) and my ...
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89 views

Does it make sense to restrict the number of observations for logistic regression?

This is a theoretical question. Lets assume I have performed a ordinal logistic regression on a large dataset. my model: y~x1+x2+x3 where ...
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Which logistic model should I use in Stata when I have a mix of categorical and scalar variables?

I want to run a regression in Stata. The dependent variable is a scalar categorical variable indicating life satisfaction ls (1= satisfied, 2= intermediate, 3= ...
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backward selection but regression coefficients not significative? [closed]

I'm running a logistic regression with backard selection method. I get coefficients with p-values>.10. Here's an example: ...
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Logistic Regression with holdout sample [closed]

I am trying to run a logistic regression in R on my data where my independent variables are 13 continuous variables and my dependent variable is binary. I want to segment my data so that I train on ...
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logistic and anova

In here, you can see original data. My data is $4\times3\times3\times2$ completely randomized design experiment data. I want to model the probability of survival in terms of the stimulus variables. ...
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multicollinarity issue

I ran a logistic regression moderation analyses and I noticed that with the addition of the interaction term, one of the predictors flipped signs. The variable (X) was previously -.015 and became .006 ...
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270 views

Extremely weird logistic regression results

I am getting very weird results in my logistic regression analysis and am confused about why. Any help would be greatly appreciated. Here are the details: The illustration below represents the ...
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using mixed effect logistic regression properly [duplicate]

I am new to data analysis and now working on a Mixed Effects Logistic Regression Model.Currently I have a data frame (model_data) that looks like the following: <...
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431 views

How to test if data pooling is appropriate for logistic regression?

I have two data sets that include variables regarding consumers website usage and click behavior on display ads. The click response per session can only be 1 (clicked) or 0 (not clicked), since only ...
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How can I calculate utilities for attribute levels in conjoint analysis in R?

I conducted a stated preference survey in which each respondent had to choose 1 set out of 3 choice sets (A, B and C), which are characterised by 4 attributes (let's say brand, color, size and ...
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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 ...
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Is it valid to write a hypothesis using the result of THIS experiment to predict an original independent variable?

There is a dataset/study that has two independent binary variables, and a continuous dependent variable. ...
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Causality test for logistic regression [closed]

For time series there is the Granger causality test. Is there some causality test for the logistic regression?
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385 views

Methods For Estimating Trend in R [closed]

Do you know how i can get a code for estimating trend by Mitcherlich and logistic method in R?
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Decision Tree Categorical and Continuous Variable

I'm new to data science and currently trying to learn and understand decision tree algorithm. I have a doubt, how the algoritham works when we have some continuous variables in a classification ...
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What property of logistic regression is useful for modeling user behavior? [closed]

I want to know that what property or attributes of logistic regression make it to useful for modeling user behavior.
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871 views

Why is $\pi$ used in logistic regression?

Why is $\pi$ used to denote probability in logistic regression? Rather than something that does not create confusion with the more common use of $\pi$ as the circumference of a circle or the specific ...
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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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