Modeling and Data Treatment in the Pharmaceutical Sciences

Covering the use of statistics in pharmaceutical experimentation, Modeling and Data Treatment in the Pharmaceutical Sciences addresses statistics and computers for data analysis stressing the importance of understanding the principles involved. The book focuses on using data to model a situation, a phenomenon, or process, and logically decide on further experimentation. He concentrates on how to derive a model from existing data, how to plan further to shore up the model, and what statistical, mathematical, and programming data is associated with it. The emphasis is on modeling, the application of correct statistics, and on common errors in published material.