Sentences with phrase «cutpoints at»

Trajectory classes from the current study that crossed these cutpoints at any point were considered to be characterized by depressive symptomatology while varying in severity and / or timing.

However, it has to be noticed that only 59.3 % of the Health anxiety patients scored above this cutpoint at the index consultation and thus the fraction of patients above the cutpoint score seems quite stable in that very few Health anxiety patients seem to get well.

Not exact matches

For parous women, the p values for the interaction terms between age at diagnosis and duration of breastfeeding were 0.08 and 0.28 when trying models with the cutpoints < 40 years vs. older and < 56 years versus older, respectively.

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

It is seen that 45.3 % of the patients with severe Health anxiety would still be ill at 24 months using this cutpoint for an «ill» response.

Separate cutpoints were indicated for problems because the distributions differed at the extremes, such that a universal cutpoint would identify unequal proportions across age by sex groups (Table I).

The distributions of the BITSEA scales were examined to determine whether statistically at - risk cutpoints should be defined based on child age and sex.

It also is probable that a different proportion of children would be identified as positive using the statistically at - risk cutpoints developed in this study if the BITSEA were used to screen early intervention samples.

In addition, to inform the assignment of statistically at - risk cutpoints, BITSEA scales were evaluated for age and sex effects.

Statistical cutpoints for domains have been set at the 90th percentile (Carter et al., 2003).

Based on age and sex findings, cutpoints were set to identify approximately 25 % of children in the at - risk range for problems and 10 % to 15 % as low in competence, a higher threshold than for problems, due to an expectation that significant social - emotional delays will be less common than significant problem behaviors.