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Four Predictors Regressions Versus Quantile
In a 20 patients parallel group trial the effect of treatment modality (slee** pill or placebo) and of covariates on hours of sleep was studied.... -
Gene Expressions Regressions, Traditional Versus Quantile
In a patient data file 12 highly expressed genes were tested for effect on a clustered outcome variable of drug efficacy. The multiple variables... -
Traditional and Robust Regressions Versus Quantile
The history, background, and the development of the analytical data models of traditional and quantile regressions have already been addressed in the... -
Partial Correlations Versus Quantile Regressions
The outcome of clinical research is, generally, affected by many more factors than a single one, and multiple regression assumes, that these factors... -
Autocorrelations Versus Quantile Regressions
Autocorrelations are linear correlation coefficients between data sets of seasonal observations, for example, mean monthly c reactive protein levels... -
Regressions with Inconstant Variability, Traditional and Weighted Least Squares Analysis Versus Quantile
The spread of the outcome data may be smaller with low dosage treatments, than it may with high dosage treatment. The effect of prednisone on peak... -
Binary Poisson/Negative Binomial Regressions Versus Quantile
In a parallel-group study of the effects of two treatments on risk of torsades de pointe binary logistic regression produced a p-value of 0.051,... -
Quasi-likelihood Regressions vs Quantile
Overdispersion of a data file means, the data spread is wider than compatible with a normal frequency distribution. This phenomenon is for example a... -
Robust Standard Errors Regressions Versus Quantile
Robust standard errors is a methodology for handling data subsets with unusually large spread. Rate analysis using a robust Poisson regression is... -
Restructuring Categories into Multiple Binary Variables Versus Quantile Regressions
Restructuring categorical predictors in a linear regression with categories into multiple binary variables will be an adequate solution for the lack... -
When Maturation is Not Linear: Brain Oscillatory Activity in the Process of Aging as Measured by Electrophysiology
Changes in brain oscillatory activity are commonly used as biomarkers both in cognitive neuroscience and in neuropsychiatric conditions. However,...
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More on Polytomous Outcome Regressions (450 Patients)
If clinical studies have categories as outcome like for example various levels of health or disease, then linear regression is not adequate for... -
Comparison of Kinematics for Head Impacts Initiated by Helmets and Shoulder Pads Among High School American Football Athletes
Helmets and shoulder pads are required equipment intended to protect American football athletes by attenuating collision forces during participation....
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A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease
Polygenic scores (PGS) for coronary heart disease (CHD) are constructed using GWAS summary statistics for CHD. However, pleiotropy is pervasive in...
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Predicting Leachables Solubilization in Polysorbate 80 Solutions by a Linear Solvation Energy Relationship (LSER)
PurposeA linear solvation energy relationship (LSER) was developed to predict the partitioning of neutral chemicals from polysorbate 80 (PS 80)...
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Optimizing detection of Alzheimer’s disease in mild cognitive impairment: a 4-year biomarker study of mild behavioral impairment in ADNI and MEMENTO
BackgroundDisease-modifying drug use necessitates better Alzheimer disease (AD) detection. Mild cognitive impairment (MCI) leverages cognitive...
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The association between cardiovascular health and cognition in adults with Down syndrome
IntroductionEvidence in the general population suggests that predictors of cardiovascular health such as moderate to vigorous physical activity...
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Neurophysiological and other features of working memory in older adults at risk for dementia
Theta–gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associated with other clinical and...
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Alzheimer disease’s cerebrospinal fluid biomarkers differences between immigrants and natives in a Belgian memory clinic
BackgroundDiagnosis of neurodegenerative diseases can raise difficulties among immigrant patients due to language, educational or sociocultural...
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Trust in adolescence and depression and anxiety symptoms in young adulthood: findings from a Swedish cohort
ObjectiveTrust and health are both fundamental elements of a socially sustainable society. While much research has shown that trust is associated...