Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes
In the medical literature, hundreds of prediction models are being developed to predict health outcomes in individuals. For continuous outcomes, typically a linear regression model is developed to predict an individual's outcome value conditional on values of multiple predictors (covariates). T...
Hauptverfasser: | Riley, R, Snell, K, Ensor, J, Burke, D, Harrell, F, Moons, K, Collins, G |
---|---|
Format: | Journal article |
Sprache: | English |
Veröffentlicht: |
Wiley
2018
|
Ähnliche Einträge
Ähnliche Einträge
-
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
von: Riley, R, et al.
Veröffentlicht: (2018) -
Minimum sample size for external validation of a clinical prediction model with a continuous outcome
von: Archer, L, et al.
Veröffentlicht: (2020) -
Minimum sample size for external validation of a clinical prediction model with a binary outcome
von: Riley, RD, et al.
Veröffentlicht: (2021) -
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
von: Pate, A, et al.
Veröffentlicht: (2023) -
Calculating the sample size required for developing a clinical prediction model
von: Riley, RD, et al.
Veröffentlicht: (2020)