Planned sample size is 452 patients. Participants were randomised to ... type of surgery and age were included as covariates in a logistic regression model. These covariates were selected due to the ...

ABSTRACT This study was carried out for two purposes: comparing performances of Regression Tree and Automatic Linear Modeling and determining optimum sample size for these methods under different ...

To reinforce these recommendations, in this Viewpoint, our group (which includes methodologists, clinicians, and patient representatives) explains why sample size estimation is a key design ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

Standardized concentrations are often estimated using within-sample regression models, also known as power series regression (referred to here as sampling event regressions, or SERs). This approach ...

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

The Bayesian regression model with weakly informative prior is the best-fitted model compared to the standard Ordinary Least Squares regression and other Bayesian regression models with shrinkage ...

Statistical machine learning models that operate on manifold-valued data are being extensively studied in vision, motivated by applications in activity recognition, feature tracking and medical ...

Learn how to determine the perfect sample size for accurate regression analysis in Business Intelligence (BI).

Fuzzy regression discontinuity uses recommended treatment as an instrumental variable to estimate the causal effect of treatment received among patients willing to follow the recommendation. In other ...

Note that the common "logistic regression" machine learning technique is actually a binary classification system in spite of its name. Arguably the most powerful regression technique is a neural ...