BACKGROUND Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile) scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous expos...

Regression models with good fitting but no predictive ability are sometimes chance correlations and often show some pathological features such as multicollinearity, overfitting, and inclusion of noisy/spurious variables. This problem is well known and of the utmost importance. The present paper proposes some criteria that are to be fulfilled as conditions for model acceptability, the aim being ...

In a recent review article, White and Piette provide an overview of the use of reverse regressions in discrimination-related litigation. They explain the technique, provide a model application, summarize its advantages and disadvantages, and identify litigation in which it has been used. We point out weaknesses in common uses of reverse regression, some of which might cause serious misinterpret...

Training is seen as the key instrument in the implementation of Human Resource Management policies and practices in both the private and public sector. The choice of the type of training, focused on human or technical skills, is crucial in designing the training process. This field study investigates the personal and occupational characteristics of 444 public managers, candidates for human and ...

This study uses data from the 1993 National Study of Post-secondary Faculty to examine the extent to which the concentration of women among part-time and nontenure-track faculty is related to family responsibilities. Descriptive and multinomial logistic regression analyses are used to examine the research questions. Disciplines Education | Higher Education | Social and Cultural Anthropology Thi...

In this assignment we learn a linear model for determining the rating of textual book reviews from amazon.com using linear regression. Despite its simplicity, the linear model still performs fairly well. However, a clever choice of the various “ingredients” of the model, such as features selection and regularization term, could further improve the its accuracy. In our work we study Unigram feat...

1.1 Types of regressions and variables One of the most remarkable current trends in theoretical and applied linguistics is the evolution of the field towards more empirically rigorous and quantitative methods. In theoretical linguistics, after a long reign of generative approaches to grammar and their largely intuitive grammaticality judgments, there is now a lot of interest in, and work on, pr...