Second Brain
Search
Search
Dark mode
Light mode
Explorer
Home
❯
Research
❯
Model Validation and Interpretability
❯
Overfitting and False Discovery
❯
Riley et al 2020 Sample Size for Prediction Models
Folder: Research/Model-Validation-and-Interpretability/Overfitting-and-False-Discovery/Riley-et-al-2020---Sample-Size-for-Prediction-Models
9 items under this folder.
Oct 13, 2026
Riley 2020 - Anticipating the Cox-Snell R2 and Its Maximum
source/ingested
topic/model-validation
topic/sample-size
topic/prediction-models
type/definition
type/concept
doc/paper
Oct 13, 2026
Riley 2020 - Beyond the 10 Events-per-Variable Rule
source/ingested
topic/model-validation
topic/overfitting
topic/sample-size
type/concept
type/definition
doc/paper
Oct 13, 2026
Riley 2020 - Extensions - Subgroups, Variable Selection, ML and Model Updating
source/ingested
topic/model-validation
topic/overfitting
topic/sample-size
topic/machine-learning
type/concept
doc/paper
Oct 13, 2026
Riley 2020 - Four-Step Procedure, pmsampsize and Worked Examples
source/ingested
topic/model-validation
topic/sample-size
topic/prediction-models
type/example
method/pmsampsize
doc/paper
Oct 13, 2026
Riley 2020 - Precision Criteria for Overall Risk, MAPE and Residual SD
source/ingested
topic/model-validation
topic/sample-size
topic/prediction-models
type/theorem
type/example
doc/paper
Oct 13, 2026
Riley 2020 - References, Supplements and Back Matter
source/ingested
topic/model-validation
topic/sample-size
topic/prediction-models
type/reference
doc/paper
Oct 13, 2026
Riley 2020 - Shrinkage and Optimism Criteria for Overfitting
source/ingested
topic/model-validation
topic/overfitting
topic/sample-size
topic/shrinkage
type/theorem
doc/paper
Oct 13, 2026
Riley et al 2020 - Sample Size for Prediction Models - Overview
source/ingested
topic/model-validation
topic/overfitting
topic/sample-size
topic/prediction-models
type/overview
doc/paper
Oct 13, 2026
Index: Riley et al 2020 - Sample Size for Prediction Models
type/index
source/ingested
topic/model-validation
topic/sample-size
topic/overfitting