Newest Questions
218,468 questions
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Is it statistically valid to use windowed KDE-normalized patches for Jensen-Shannon Divergence comparison?
I'm working with a spatially distributed dataset where I first estimate the global empirical distribution using Kernel Density Estimation (KDE). I then divide the data into smaller spatial patches (...
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Reproducing complex SAS `PROC MIXED` specification in R `nlme::lme()` with random effects and correlation structure
TL;DR I'm struggling to specify a PROC MIXED SAS model in R using nlme:::lme.
What I'm trying to do
I am trying to reproduce the ...
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Interrater reliability: calculation when not all raters rate all cases?
I have 15 raters who rated 70 cases (Y or N). Each case was rated by 5-8 raters. Raters rated between 5 and 70 cases.
My goal is to (#1) establish a measure of interrater reliability and, if possible, ...
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GAMMs in R: How to interpret global term when concurvity with group-level smoother is present?
I've fixed my model and incorporated all the terms I believe have an effect on my response (abundance of a single species), but I'm stuck on how to interpret the long-term trend plot, ...
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Shortcuts in a Bayesian power analysis without upsetting too many people
Apologies for the clickbait title - it's a reference to the fact that I know it's legitimately triggering to try to bring the frequentist concept of a power analysis into Bayesland where it doesn't ...
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Can I cluster data based on their location and use it to account for spatial autocorrelation in my GLMM model?
I am trying to understand species presence (1/0) within protected areas in Africa using a set of predictor variables. My data is not nested and contains no hierarchies within it. My question pertains ...
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Inverted difference-in-difference design
I'm currently working on a research paper that employs a difference-in-differences (DID) framework for causal identification. The twist in my setup is that I'm leveraging three plausibly exogenous ...
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List of statistics books for understanding the subject [duplicate]
What are some lists of statistics books which teach the concept with real world example and with great mathematical details?
I want to understand where probability distributions, central limit theorem ...
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Definition of the random-effect model
I am studying the random-effects model as a preparation for a meta-analysis. Unfortunately I am confused because there seem to be two inequivalent descriptions of the model in the literature:
In the ...
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Negative F-value from micombine.F in miceadds after pooling positive F-values
I'm using the mice and miceadds packages in R to perform multiple imputation and then analyze the results.
Here's what I did:
I performed multiple imputation on my dataset using the mice package.
For ...
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INLA model parametrization
I am new to using INLA models and wanted to know if I have violated an assumption.
I am working on distance sampling of highly mobile species. Each point in my data represents the centre of a 4*4km ...
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XGBoost poor performance after MinMax scaling?
I am using XGBoost for a binary classification problem with an imbalanced dataset, for anomaly detection essentially.
I have trained my model on a dataset of a machine, lets call it Machine1, where I ...
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Difference between fixed-effect model and random-effect model [duplicate]
I am studying the fixed-effect model and the random-effect model as a preparation for a meta-analysis. In the Handbook of Meta-Analysis, equations (4.2) and (4.6) and Applied Meta-Analysis with R and ...
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Understanding Statistical Significance in A/B Testing: Practical Examples and Common Pitfalls [closed]
What does it mean for an A/B test to be statistically significant? How do I determine if the results of my A/B test are statistically significant, and what statistical tests should I use?
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Question in longitudinal survey is no longer asked. MNAR?
In a longitudinal hospitalization survey dataset, where patients are asked to fill out a survey each time they are admitted into the hospital, one of the questions is no longer asked. This question ...
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