Suggestions(1)
Exact(1)
We incorporated an indicator variable for missing values if the number of women with missing information (maximum 1.9% missing) on potential confounding factors was 100 or more (this was the case for BMI and family history of myocardial infarction before the age of 60) or otherwise reassigned values of the reference group or past user group, as applicable.
Similar(57)
Similarly, values of the mediator, M, are permuted 10 times and reassigned to values of the predictor X to create many permuted samples.
Individuals with eGFR values >200 mL/min/1.73 m were reassigned a value of 200 mL/min/1.73 m (two persons with eGFRcr >200 mL/min/1.73 m).
For scoring purposes, we reassigned the values of the rungs to range from 1 (lowest rung) to 11 (highest rung).
Each compound in the training set was randomly reassigned activity values and subsequently generated hypotheses; spreadsheets were obtained with the randomized activity data.
To avoid having nonpositive values for LAP, we reassigned any WC values for men/women that were less than 65/58 cm to 66.0/59.0 cm.
The best values of the control parameters are determined iteratively by assigning some values to them, constructing the associated pandect, verifying the correctness of its predictions, reassigning the values, and continuing this sequence of steps until one arrives at a pandect with highly accurate predictions.
Summary statistics for scenario 1 with ki = 1.05/hr for NO2 are presented as a mean ± range to indicate the variation across the 15 replicate runs that resulted from reassigning parameter values.
16 Categorical variables that included missing data were recorded by reassigning missing values to separate "missing" categories in order to maximise the number of subjects included in the statistical analysis and thereby maximise statistical power.
First, to show that the correlation between the PD atrophy map and the resting-state ICN exceeds chance levels we generated 1000 sets of 70 ICNs by randomly reassigning voxel values in each ICN (i.e. keeping the same z-scores but reassigning them spatially).
For a more qualitative comparison of the two models, we classified individual elements of the sensitivity matrix as either "activating" (S = 1), "inhibiting" (S = -1) or "neutral" (S = 0), in which threshold sensitivities of ±0.003 (determined by visual inspection of the histograms of individual sensitivities from the two models) were used to reassign individual values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com