Sentences with phrase «bitsea cutpoint»

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

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.

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.

«Subclinical» (t - score ≥ 60) and «clinical» (t - score ≥ 63) cutpoints have been developed.

For example, among 12 - to 17 - month - olds, a cutpoint of 15 would identify fewer girls than boys (18.5 % vs. 24.3 %, Fisher exact test = 0.0586).

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).

While awaiting clinical cutpoints, when the explicit goal is to identify children with more extreme psychopathology and / or delays in competence, one may employ more stringent cutpoints, based on this representative sample.

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.

Thus, it is important to establish the BITSEA's clinical validity and to develop cutpoints that reflect clinically significant problems.

The BITSEA / P cutpoint and combined problem and competence cutpoints (BITSEA / PC) had good to excellent sensitivity and good specificity relative to the CBCL / 1.5 - 5 (Table III).

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

Of the 345 children positive on the Year 1 BITSEA problem and / or competence cutpoints, 59.4 % continued to be positive on the BITSEA in Year 2, χ2 (1, 1098) = 190.5, p <.01.

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

Statistical cutpoints for problems and competence were defined in 6 - month age groups by child's sex (Table I).

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.

To ensure comparability of data when comparing the performance of different BITSEA cutpoints, only subjects with complete data on both cutpoints were used (N = 1206).

Thus, LTA, if used on an instrument that is consistent over the developmental period in question, allows for the examination of the stability of internalizing and externalizing problems without the confounds that have plagued categorical, cutpoint - based research to date.

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.

The scale can be used as a continuous variable with increasing levels of emotional distress represented by higher scores or as a categorical variable with standard cutpoints of ≥ 16 and ≥ 23 indicating significant levels of depressive symptomatology but with corresponding differences in sensitivity and specificity for major depressive disorder in community samples (18, 20, 21).