11:23
Penalized regressions: Ridge and Lasso
11:06
Repeated measures models with fixed effects: Effect of courses on a tolerance indicator
14:59
Modelos con efectos aleatorios. Datos anidados y longitudinales.
11:45
Datos de panel con estructura de correlación y efectos aleatorios: Evolución hormonal en yeguas
14:58
Modelos lineales para conteos y conteos relativos (total muertes, riesgos, tasas, prevalencias...)
11:28
Poisson Regression as a Classifier: Predicting the Number of Accidents in the Following Year
15:00
Log-linear Graphical Models Part 1: Theoretical Aspects
9:18
Modelos gráficos log-lineales Parte 2: Aspectos prácticos
2:59
Aplicación de un Modelos gráfico loglineal
Ciencia de Datos, Estadística y modelos de IA
14:40
What is logistic regression and what is it used for?
10:30
Software Implementation of Logistic Regression on Medical Data
13:11
Riesgos relativos o razones de prevalencias con y sin variables de control
7:59
Logistic Regression vs. Cox: Are they comparable? Can Cox regression be a predictive model?
15:05
How to compare probabilities between groups with a multi-category variable
21:17
Handling Imbalanced Data in Classifiers: Modifying Loss Function Weights
15:40
Linear Models and Bivariate Tests with Many Response Variables: P-value Correction