AI generated definition based on:Clinical Simulation in Nursing,2008 About this page Set alert Computer Science Chapters and Articles You might find these chapters and articles relevant to this topic. Chapter Statistical Interpretation of Data
Although often presented as a linear cascade, one molecular initiating event in an AOP may lead to variable adverse outcomes, just as different molecular initiating events can cause the same adverse outcome. It should also be noted that although the adverse outcome is the result of a sequen...
Science What is an outcome variable?Question:What is an outcome variable?Experimental Research Designs:In an experimental research design, a researcher is able to control for certain variables and manipulate other variables to clearly determine cause and effect. For example, when testing a new ...
The sign of an association measure between two varibles may be strongly affected and even be reversed after marginalization over a backgruoud variable, which is the well-known Yule-Simpson paradox.Odds ratios are strongly collapsible over a background variable if they remain unchanged no matter ...
The identification problem is a well-known issue in latent variable modeling from both a structural equation modeling and item response theory perspective and refers to the fact that the location and scale of a latent variable is, by definition, arbitrary, whereas with observed data, the location...
Infection with Lassa virus (LASV) can cause Lassa fever, a haemorrhagic illness with an estimated fatality rate of 29.7%, but causes no or mild symptoms in many individuals. Here, to investigate whether human genetic variation underlies the heterogeneity
The number of candidate items that mapped to each of the ten descriptive categories was variable (range 2–41 items per category), with the largest number of candidate items mapped to the "Outcome data man- agement and analyses" (n = 41 items) and the "How: the way the outcome is ...
The burden on the caregivers increases as dementia progresses, but the trajectory of this increased burden is highly variable [21]. In the current review we found a moderate or high level of evidence only for the caregiver’s desire for admission but this factor will overarch a whole range ...
Logistic regression (LR)is a straightforward yet powerful classification algorithm that employs the logit function to model the conditional probability of class output. Essentially, it determines the correlation between a collection of independent variables and a single dependent variable. This algorithm per...
Echocardiographic VariableBaselineFollow-Upp Value LV end-diastolic diameter (mm) 48.0 ± 5.9 51.2 ± 6.2 <0.001 LV end-systolic diameter (mm) 29.2 ± 7.0 30.9 ± 6.9 0.045 Fractional shortening (%) 39.5 ± 11.0 39.9 ± 8.9 0.83 IVS thickness (mm) 12.2 ± 3.5 12.6 ± 3.5 0.27 PW thickn...