Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported
<h4>Objective</h4> <p>Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model us...
Main Authors: | Whittle, R, Peat, G, Belcher, J, Collins, G, Riley, R |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Elsevier
2018
|
Similar Items
-
Impact of measurement error and sample size on the performance of multivariable risk prediction models: a simulation study
by: Vazquez Montes, M, et al.
Published: (2017) -
Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement
by: Heus, P, et al.
Published: (2018) -
Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review
by: Ma, J, et al.
Published: (2023) -
Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement
by: Pauline Heus, et al.
Published: (2018-07-01) -
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
by: Riley, R, et al.
Published: (2018)