survival - Interpreting Results of Coxme in R - Cross Validated
Mar 21, 2025 · The model is now a simple "frailty" model with a single random effect, modeled as a Gaussian random effect in coxme. It's possible to fit this type of model with a frailty() term in coxph() …
Why is a regression coefficient covariance/variance
Dec 12, 2021 · Title. I'd like to understand the intuition behind how regression coefficients are calculated, and why $$\\frac{cov(x,y)}{var(x)}$$ gives a regression coefficient for dependent variable …
probability - Survival Function vs Conditional ... - Cross Validated
Feb 4, 2023 · Where: CS(t|s) C S (t | s) is the conditional survival function, which gives the probability of surviving past time t + s t + s given that the event has not occurred by time s s. T T is the random …
Logistic Regression: Interpreting Continuous Variables
I had a couple of questions about interpreting odds ratios for continuous variables in logistic regression. I feel like these are basic questions about logistic regression (and probably about regre...
mixed model - R's lmer cheat sheet - Cross Validated
There's a lot of discussion going on on this forum about the proper way to specify various hierarchical models using lmer. I thought it would be great to have all the information in one place. A c...
Why is the validation accuracy fluctuating? - Cross Validated
Jan 8, 2017 · If I understand the definition of accuracy correctly, accuracy (% of data points classified correctly) is less cumulative than let's say MSE (mean squared error). That's why you see that your …
Interaction term vs subgroup analysis - Cross Validated
Mar 21, 2024 · I have a question regarding the choice between interaction term and subgroup analysis. Suppose that I want to study the association between education and income by sex. I can fit a model …
Determine Statistical Significance Between Two Data Points
Sep 28, 2021 · Given these rates, we hope to determine if the population of non-White members is statistically smaller than that of the White population and thus a comparison between the two rates …
Interpreting Negative Binomial GLM results and model-fit
Jul 20, 2025 · What’s needed are diagnostic plots to show (1) goodness of fit of the negative binomial distribution to your data, and (2) shifts in the distribution due to covariates are properly modeled. (1) …
XGBoost Probabilities are unrealistic - Cross Validated
Jun 18, 2023 · I have a model that uses XGBoost to predict a binary classification. However I am getting probability outputs for my model prediction on certain datasets that are quite unrealistic: probabilities t...