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Cross Validated : Recent Questions and Answers (Page 27)

Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.

Is there a word in statistics for "mean divided by absolute difference"?

For two values, let's say a and b, I calculate a mean of two numbers divided by absolute difference between them. i.e.((a+b)/2)/|a-b|This statistic represents the change in the mean...

Asked on 12/01/2021 by user989761

0 answer

SPSS - Automatic Linear Modeling "Importance" Numbers

I have a large set of survey data. I'm looking at trying to find out which variables are the most important to impacting a DV (call it "happiness"). I'm not...

Asked on 12/01/2021 by Josh Davis

1 answer

Is the pooled AUC calculation for imputated data in (psfmi package) mivalext_lr() correct?

I have an imputated data with several nonmissing and not-imputated variables. However, I realised when I use mivalext_lr() to obtain pooled AUC and 95% CI of my logistic regression, the...

Asked on 12/01/2021 by YY Shi

0 answer

Am I okay in not using EC model when series are co-integrated?

I'm working with some panel data, and I'm interested in estimating the parameters of the following process: $$Delta y_{t+1} = alpha + delta t+beta_1 ln y_t + beta_2 ln...

Asked on 12/01/2021

1 answer

How does propensity score matching that uses only a small proportion of eligible patients affect generalizability?

I am reviewing a paper that seeks to assess the effect of treatment on mortality using observational data about 2,985 hospitalized patients. A propensity-matched analysis ends up with 380...

Asked on 12/01/2021 by Diana Petitti

1 answer

Logistic regression model predicts only one outcome, producing a high specificity but very low sensitivity. How do I improve the model?

I'm designing a logistic regression model to predict hospital mortality. Why? To identify 'adjusted' odds ratios for a variable of interest on mortality. Methods: - set up using a training...

Asked on 11/29/2021

1 answer

Why does the Lasso provide Variable Selection?

I've been reading Elements of Statistical Learning, and I would like to know why the Lasso provides variable selection and ridge regression doesn't. Both methods minimize the residual sum...

Asked on 11/29/2021 by Zhi Zhao

4 answer

Why do increasing regularization weights make objective function not monotonically decrease?

I run modified non-negative matrix factorization (NMF) and tune the regularization weight from 1e5 to 1e13. The table below shows errors from calculating cost function for 25 iterations of...

Asked on 11/29/2021

1 answer

Do we need to demean and standardize all variables in a model?

I am analyzing a panel data set with 55 countries. The coefficient of my variable of interest is not naturally interpret able. Hence, I thought of demeaning and standardizing my...

Asked on 11/29/2021 by Ama Perera

1 answer

linear causal model

Currently I’m focused on linear causal model expressed as a structural equation like this: $y = beta_1 x_1 + beta_2 x_2 + … + beta_k x_k + u$ ...

Asked on 11/29/2021 by markowitz

1 answer

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