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In statistical prediction, the independent dataset test, subsampling or K-fold crossover test and jackknife test are the three cross-validation methods often used to check a predictor for its accuracy [ 92].
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Hierarchical linear regression analyses were performed to check whether resilience was a predictor of sexual behaviors (consistent use of condoms in vaginal and anal sex, age at first vaginal and anal sexual intercourse, number of vaginal and anal sex partners during lifetime and in the previous 2 months).
This study aimed to verify the role of this adhesive molecule in EC and especially to check its feasibility as a predictor of lymph node metastases.
We checked each predictor for its distribution; to obtain approximately symmetrical distributions, we square-rooted age and intergroup encounter rate and double square-rooted male hierarchy stability.
They should also check whether important predictors are recorded in each study, and evaluate the amount of missing data for available predictors; though multiple imputation can limit these issues, studies with multiple missing predictors or large proportions of missing values might be best excluded for robustness (unless imputation assumptions can be justified).
Further, the household economic condition given in the AHS was used as a predictor determinant to check the variation in child health status.
To check consistencies among predictors of the same physico-chemical propensity, we group the properties by higher level features and also highlight the ones that pass the selection criteria (Fig. 2 and Supplementary Fig. S1).
After checking predictor variables for collinearity with a pairwise Pearson rank correlation, we started with a full model that included all uncorrelated (r < 0.60) predictors and subsequently eliminated nonsignificant (P > 0.05) predictors in a stepwise backward procedure.
Each time a new variable was added to the model, the process of checking confounders/additional predictors was repeated in an iterative manner until all covariates had been assessed for the current model.
"For example, if an on-demand cleaning company is worried about theft, then they should first prove/test that failing a background check is a good predictor of theft on their platform.
This model was initially run through a linear regression procedure to check for tolerance between predictors.
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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