Nutrigenomics and tissue specific inflammation.
Hormones and hormesis – Who's pulling the strings?
Hormesis and epigenetics in clinical practice.
The study of dose-response modeling, and in particular, the favorable biological responses to low exposures to chemicals known as hormesis, can be used to determine the best dose level for maximal benefit. The study of hormesis has become very popular over the past decade. Gaylor (2004) used a single quadratic to model the hormesis curve. Here, we argue that using a double quadratic (one for the down trend and one for the up trend), will result in a better description of the process. The maximum likelihood method is used to estimate model parameters. In order to solve the nonlinear likelihood equations, the EM (Expectation-Maximazation) algorithm is utilized to convert the nonlinearity to a linear problem. We then use an example with real data to illustrate our methodology.