Random Intercept for Categorical Outcome and Predictor Variables (55 Patients)Categories are very common in medical research. Examples include age classes, income classes, education levels, drug dosages, diagnosis groups, disease severities, etc. Statistics has generally diffic...
The present study advances understanding of (a) the development of achievement goals, (b) the changing association of achievement goals and achievement over time, and (c) the implications of changes in achievement goals for changes in achievement over time. African American and European American ado...
A predictive model is an equation. The equation predicts the outcome of a variable based on the value of one or more other variables (predictors). The outcome variable is a dependent variable, typically the time or speed in doing a task. It could also be accuracy, represented as spatial va...
For example, for a colour variable with three levels (blue, red, green), we create two dummy variables. <MATH> \begin{array}{lll} X_1 & = & \left\{\begin{array}{ll} 1 & \text{ if the colour is blue} \\ 0 & \text{ if the colour is not blue} \end{array}\right. \\ ...
groupfv specifies that all factor-variable terms be grouped and is relevant only in the presence of factor variables; see [U] 11.4.3 Factor variables and Handling factor variables and interactions in Remarks and examples. £ £ Simulation enumeration specifies that model enumeration be...
Leukemias are routinely sub-typed for risk/outcome prediction and therapy choice using acquired mutations and chromosomal rearrangements. Down syndrome acute lymphoblastic leukemia (DS‐ALL) is characterized by high frequency of CRLF2‐rearrangements, JAK2‐mutations, or RAS‐pathway mutations. Intriguingly...
Rather, of the many variables studied, soluble Aβ concentrations best distinguished HPC from AD patients. Soluble Aβ40, in particular, was a very robust predictor of synapse loss, giving significant inverse correlations over all patients and within the AD group alone. Materials and Methods ...
We used the variable influence on the projection (VIP) parameter to identify variables making the most significant contribution in discriminating between responders and non-responders on sertraline therapy and placebo in the PLS-DA models. VIP is a weighted sum of squares of the PLS weight, which...
Leakage (Johnston et al., 2013; Kuncheva and Rodríguez, 2010; Pereira et al., 2009) is the creation and usage, commonly by accident, of variables that carry information about the outcome of the problem (the classification labels, in our case). Leakage generally occurs during feature selection...
The primary aim of this study is to understand the variables that predict perceived quality as well as engagement from a student perspective. What determines quality is an important topic, and there is still a need for empirical evidence. The study is based on a sample size of more than 6000...