Topics in Modelling of Clustered Data

Explore the intricate world of data analysis with Topics in Modelling of Clustered Data, authored by a collective of experts and published by Taylor & Francis Inc in 2002. Spanning 336 pages, this essential resource unravels the tools and techniques necessary for modeling clustered data found in various fields, including medical, biological, environmental, and social sciences.

This book provides a thorough examination of marginal, conditional, and random effects models, employing methods such as likelihood, pseudo-likelihood, and generalized estimating equations. Whether you're a seasoned researcher or a student venturing into data analysis, this comprehensive overview will enhance your understanding and application of statistical models to real-world research scenarios. Don’t miss the opportunity to deepen your knowledge and skills in data modeling with this invaluable book!