Predicted value adjusted for age at assessment and its squared value, age at menopause, and sex. Non-linear and linear relationships were estimated using multilevel linear regression analysis. A ...

BMI was calculated from self-reported weight and height. A series of multilevel linear regression models were fitted to assess regression coefficients and s.e. predicting BMI.

Multilevel linear regression was used to estimate area level variance in BMI and the importance of area level socioeconomic disadvantage in predicting BMI.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Using data from two Los Angeles County surveys and the 1990 Census, multi-level linear and logistic regression models reveal that higher levels of concentrated disadvantage are associated with ...

Line of Best Fit and Regression Analysis To perform a regression analysis, a statistician collects a set of data points, each including a complete set of dependent and independent variables.

Using these data, we built a statistical model—the “multi-level regression” of MRP —to predict voting intentions for each of 16m possible unique combinations of voters’ age group, sex ...