Non-steroidal anti-inflamatories (NSAIDs) are widely used in the treatment of post-surgery pain1, osteoarthritis2, rheumatoid arthritis3 and muscle-skeletal pain4,5, in different conditions. Major effects are: anti-inflammatory, analgesic, and antipyretic6. Generally speaking, such effects are associated to the inhibition of the enzyme cyclooxygenase (COX). COX catalyzes the transformation of a...

In this study, we use primary embryonic fibroblasts derived from cyclooxygenase-deficient transgenic embryos to further investigate the role of the two cyclooxygenases, cyclooxygenase 1 (COX-1) and cyclooxygenase 2 (COX-2), in the process of neoplastic transformation. Cells with either, neither, or both of the cyclooxygenases were transformed by Ha-ras and/or SV40. Our results show that when a ...

Although the Box–Cox transformation provides a flexible functional form for regression models, its applicability is often hampered by the difficulty of choosing an appropriate value for the Box–Cox parameter. This paper presents an explicit variance formula for the Box–Cox estimator of the functional form, from which the analytical behavior of the estimator and its precision can be assessed.  ...

Background Road traffic accidents and their related deaths have become a major concern, particularly in developing countries. Iran has adopted a series of policies and interventions to control the high number of accidents occurring over the past few years. In this study we used a time series model to understand the trend of accidents, and ascertain the viability of applying ARIMA models on data...

BACKGROUND Many nursing and health related research studies have continuous outcome measures that are inherently non-normal in distribution. The Box-Cox transformation provides a powerful tool for developing a parsimonious model for data representation and interpretation when the distribution of the dependent variable, or outcome measure, of interest deviates from the normal distribution. The o...

Transformation of a response variable can greatly expand the class problems for which linear regression model or mixed-model is appropriate. Beginning with fundamental work Box and Cox, maximum-likelihood-like estimation has been applied to select transformation from among family transformations, possible goals achieving approximate normality, removing nonlinearity in mean function, stabilizing...