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These findings led to the amendment of the statistical analysis plan of the HERALD study to state that HRG would be the primary predictive biomarker for the study and to specify that PFS in this single subgroup would be evaluated irrespective of the outcome in the ITT population.
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This hypothesis is termed the primary predictive biomarker clinical benefit identification (ID) hypothesis.
The primary outcome measure is the change in severity of IPV; the primary predictive variable is the change in severity of ADHD symptoms.
The primary predictive variable was the mode of transport.
The primary predictive variable was maternal race/ethnicity.
The primary predictive variable is the change in ADHD symptoms between t0 and t2, determined by the difference in scores on the ADHD RS between t0 and t2.
Ideally, the primary predictive biomarker hypothesis will be specified prior to the start of the randomized PoC study, as it is helpful in the study design.
The Statistics: Regression analysis in its various forms is the primary tool that organizations use for predictive analytics.
Quantifying sensitivity and specificity and understanding their predictive value is the primary objective in the early stages of development of screening and treatment.
A second primary outcome will be the predictive value of CHPs' identifying psychosocial problems when a child is between 2 and 14 months old, and later at 18 months, in both the intervention and control conditions.
† Spielberger State-Trait Anxiety Inventory ¥ Items from Europep instrument relating to the dimensions of care The primary outcome is the positive predictive value (PPV) of the primary care decision to refer.
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