Your English writing platform
Discover LudwigSuggestions(5)
Exact(31)
This step avoids model selection bias, that is, to select simpler models only based in their lower complexity [20].
The second influence factor is model selection bias.
This phenomenon is called model selection bias [21].
This lacking independence frequently causes model selection bias and renders the cross-validated error estimates untrustworthy.
Model selection bias often derives from the selection of overly complex models, which include irrelevant variables.
However, model selection bias is not necessarily caused by the inclusion of false and redundant information.
Similar(29)
Fine tuning different model parameters outside of the two-stage cross-validation process would lead to model-selection bias, or optimization bias [ 19].
In this study, we compared reaction norm and factor analytic models with the multivariate model without selection bias correction.
The second part presents results of model selection and bias estimation analyses.
As any attempt to extract a causal relationship from observational data, MSM requires certain untestable assumptions: in addition to standard assumptions that the data analytic models (for selection bias and for the causal effect) were correctly specified, we have to assume that the model for selection bias accounts for all potential confounders (there are no unmeasured confounders).
The associations depended on research designs (cross-sectional or prospective longitudinal design) and whether statistical models addressed selection bias and controlled for confounders.
More suggestions(16)
model selection process
model selection scheme
model selection strategy
model selection procedure
model selection problem
model selection significance
model selection analysis
model selection criterion
model selection accuracy
model selection methodology
model selection scenario
model selection issue
model selection method
model selection consistency
model selection theory
model selection tool
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com