# Questions tagged [multivariate-regression]

Regression with more than one response (dependent) variable.

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### Understanding types of LSTM and their use cases

I'm currently considering to use RNN/LSTM for a predictive modelling project that involves time-variant points. From looking at the following types of LSTM/RNN (in the picture below), I want to try ...
16 views

### Adjusted $R^2$ (R-squared) for multivariate regression

For univariate or single independent variable regressions, this formula can be used (details here): $$R^2_{adjusted} = 1- \dfrac{SSRes}{SSTotal}\dfrac{n-1}{n-p}$$ However, I cannot find a similar ...
8 views

### Multivariate multilevel ordinal regression

I am looking to estimate a multivariate multilevel ordinal regression model (preferably via the ordered logit) in $R$ using non-bayesian methods. Is anyone aware of a package that does this? If not, I ...
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### Working with a Dataset containing multivatiate numerical Timeseries which is highly sparse

I am working currently on a private dataset that has a similar structure to MIMIC-III. The dataset has following structure: p Patients, e Examinations, t Timepoints For every patient there are ...
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### Regression with multiple dependent variables

I am looking to derive the regression equation for the data in the table below however i am faced with two problems, using Excel, regression equation can't be derived due to the NAs in the data multi-...
1 vote
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### I have set of features to relate to two different values. When I made a regressor for only one it worked well but if i use two it does not?

I have a set of 33x1 features (x) and they can be related to different two values in (y) and I have 1203985 observations. Using np.shape() you can see the dimensions of x and y. x= (1203985, 33) y=(...
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### DF of multivariate multilevel random effects model

my question is concerning a multivariate multilevel random effects design. I have one between-subjects variable, gender. My outcome variable is composed of several (...
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### Likelihood for left-censored data in one dimension and uncensored in another dimension

I need to maximize a likelihood for parameters $\vec{\theta}$ given a model $\vec{g}(x_i,\vec{\theta})$ (let's say this is a non-linear black box) and observed data $(x_i,\vec{y}_i)$. The dependent ...
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196 views

### Visualizing multivariate multiple regression of continuous data in R

I have created a multivariate multiple regression model with 3 dependent and 3 independent variables in R, and would like to generate meaningful visualizations. All variables are continuous. When ...
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### Multivariate Multiple Regression table template

I need a table template for Multivariate Multiple Regression Analysis (2 IVs and 2 DVs). If anyone has, please share. Actually, I am conducting step_wise multiple regression analysis for predicting 2 ...
22 views

### How to Treat Multivariate Gaussian Processes

I am trying to predict time-series (and forecast) with Gaussian Processes(GPs). To perform this task, I decided to apply GPs in a multivariate regression fashion. Most of the GP examples I have seen ...
9 views

### Missing values of two variables collide

I am performing multivariate regression in MPlus with survey data. The issue is that two predictors (from two different data collection years) do not have any common data: people who answered on ...
1 vote
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### Multivariate Regression with Two Different Types of Response

Problem Setting: I have an interesting question related with longitudinal study and multivariate regression. I found that in lots of biomedical studies, multiple discrete and continuous endpoints are ...
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### How analyze annual data with one IV and multiple DVs

I'm currently working with a data set that includes multiple variables associated with each of 10 years of data. The basic structure, with (example hypothetical) variables in caps, is from YEAR to ...
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### How to validate and train a multivariate multiple regression model with multiple responses with R?

I would like to validate the accuracy of my model and train it. For this MMR I have used four dependent variables (y1, y2, y3, y4) and two independent variables (x1 and x2) Firstly, I worked with R ...
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50 views

### Seasonality in Independent Variables

There are many questions on why we need to remove seasonality. E.g. this and this. My question is slightly different. Do, we need to remove seasonality from independent variables as well when doing ...
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1 vote
103 views

### Multivariate regression - test difference between coefficients

I am trying to figure out how to test the difference in slopes for the same explanatory variable in a multivariate linear regression. What type of test should be used and how can I perform this using ...
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### What does an interaction with a confounder mean within a multivariate regression analysis?

In a multivariate regression analysis, I examine the effect that a treatment method has on subjects' hemoglobin levels. Since this is a retrospective study, I could not control for gender (or age) by ...
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### Auto. Arima and ARIMAX for multi variate time series forecasting

I'm trying to do multivariate time series forecasting using the forecast package in R. The data set contains one dependent and independent variable. From the cross-correlation the 0 day lag of the ...