Drug Dosage Individualization Based on a Random-Effects Linear Model

Drug dosage individualization based on a random-effects linear model.

This article investigates drug dosage individualization when the patient population can be described with a random-effects linear model of a continuous pharmacokinetic or pharmacodynamic response. Specifically, we show through both decision-theoretic arguments and simulations that a published clinical algorithm may produce better individualized dosages than some traditional methods of therapeut...

The Mathematics of Drug Dose Individualization Should Be Built With Random-Effects Linear Models

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Response to Diaz and de Leon "the mathematics of drug dose individualization should be built with random effects linear models".

Center). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.

Individualization of Antihypertensive Drug Treatment

Antihypertensive drug classes are usually classified as 1st, 2nd, 3rd, and 4th or 5th choice to help physicians select the drug most suitable for treatment initiation among the very many classes available to lower blood pressure (BP) in patients with a BP elevation. However, this approach was appropriate decades ago when several drugs had inconveniences that made their use in monotherapy inadvi...