Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.
I validate usage of a clinical cardiovascular score to predict the risk of dementia using data from a longitudinal study. Therefore, my outcome is binary (dementia yes or not) and...
Asked on 11/08/2020
1 answerI am working with public use microdata measuring educational attainment. I want to calculate the percentage of the population older than 25. I am merely unaware of how to use...
Asked on 11/06/2020 by Seth C.
1 answerThanks for having a look at my post. I had an extensive look at the difference in weight initialization between pytorchand Keras, and it appears that the definition of...
Asked on 11/03/2020 by londumas
1 answerI'm trying to build a linear mixed model for 5 outcome variables ...Cholesterol 1,Cholesterol 2,Cholesterol 3,Cholesterol 4,Cholesterol 5which will be melted into a single Cholesterol variable, since statsmodel does not...
Asked on 10/29/2020 by Thomas Lordick
1 answerI have given a prior which has a range of data between[0.5,1.5] and a normal distribution N(0.9,1) which should truncate at the above range and normalize. also I have the...
Asked on 10/29/2020 by SHAMM
1 answerI am trying to solve problem 2.5 from the Efron/Tibshirani book, An Introduction to the Bootstrap (page 16). The problem asks to show that by applying the weak law of...
Asked on 10/26/2020 by Mattjosh
0 answerI am trying to model a continuous outcome variable(non-integer, with excess zeros) by two independent variables. I have seen that people have referred to the compound poisson gamma model( ...
Asked on 10/26/2020 by michaelkyei
0 answerI have a set of data that look like this: Spray.A Spray.B1 10 112 ...
Asked on 10/23/2020 by Doug Fir
1 answerI got two matrices A and B, the dimension of A is m x n, where n represents the number of samples, and m represents the number of features. Then...
Asked on 10/20/2020 by Minstein
0 answerI know similar questions have been asked before already but I'm still a bit confused about the understanding of 'loadings'. Eigenvectors are unit-scaled loadings; and they are the coefficients...
Asked on 10/20/2020 by mri
0 answerGet help from others!
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