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...
An explicit practice and feedback procedure implemented through an existing course activity presumably contributed to gains in critical thinking. 展开 关键词: Psychology Critical Thinking Performance Based Assessment College Students Multiple Choice Tests Predictor Variables Correlation Scores Academic Achievement...
Achievement goals and achievement during early adolescence: Examining time-varying predictor and outcome variables in growth-curve analysis 喜欢 0 阅读量: 42 作者:SS Shim,AM Ryan,CJ Anderson 摘要: The present study advances understanding of (a) the development of achievement goals, (b) the ...
Multiple regression analysis modeled relationships between final OCD severity (Yale-Brown Obsessive–Compulsive scale scores) and predictor variables, while accounting for multicollinearity and potential outliers. Treatment responders comprised 59.3% of the treatment sample. Responders had significantly fewer ...
In the training set, both XGBoost and logistic regression were used for model construction. The list of all predictor variables included in the prediction models is shown in Supplementary Table S1. XGBoost is an optimized distributed gradient boosting method with high efficiency, flexibility and ...
Changes over time were assessed on the Brief Psychiatric Rating Scale and the relationship between potential predictor variables and outcome was investigated using analysis of variance and covariance. RESULTS: A number of baseline variables were identified as predictors of good outcome in the CBT group...
From a variety of psychological tests, psychosocial and symptom diary variables, a prediction equation accounting for a modest 15% of the variance in outcome was found. Trait anxiety, however, was found to have noticeable clinical utility as an individual predictor of outcome; 70% of patients ...
Multivariate analysis was performed for the variables of age, race, family history of prostate cancer (brother or father), initial PSA, biopsy Gleason sum, clinical T stage, treatment modality and androgen deprivation. Familial prostate cancer (p = 0.001), higher T stage (p<0.001), higher ...
Variables for all factors, including time and temperature intervals, were categorized using those used in the articles. Random effects meta-analyses, study heterogeneity and publication bias were evaluated. Results Twenty-four cohort studies met the inclusion criteria. The strongest predictor was ...
(standardized to zero mean and unit variance) were used as predictor variables, and each dose plan index was used as an independent response variable. Recursive feature elimination (RFE) with a linear kernel support vector machine (SVM) was used to identify the optimal shape features to predict...