Analysis of Pretest-Posttest Designs brings welcome relief from this c onundrum. This one-stop reference - written specifically for researche rs - answers the questions and helps clear the confusion about analyzi ng pretest-posttest data. Keeping derivations to a minimum and offerin g real life examples from a range of disciplines, the author gathers a nd elucidates the concepts and techniques most useful for studies inco rporating baseline data.

This is a second edition to the original published by Springer in 2006. The comprehensive volume takes a textbook approach systematically developing the field by starting from linear models and then moving up to generalized linear and non-linear mixed effects models.

Since the first edition was published the field has grown considerably in terms of maturity and technicality. The second edition of the book therefore considerably expands with the addition of three new chapters relating to Bayesian models, Generalized linear and nonlinear mixed effects models, and Principles of simulation....

In this volume, the specific challenges and problems facing the evaluation of new oncology agents are explored with regards to pharmacokinetic, pharmacodynamic modeling and clinical pharmacology development strategies. This book delivers, with an emphasis on the oncology therapeutic area, the goals set in the first three volumes: namely - to provide clinical pharmacologists practical insights for the application of pharmacology, pharmacokinetics and pharmacodynamics for new drug development strategies. Pharmacokinetic-pharmacodynamic concepts for tyrosine kinases, the evaluation of cardiac...