Hang Lee

eBook, PDF

Foundations of Applied Statistical Methods (eBook, PDF)

Beschreibung

This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible.

This text may be used as a guidebook for applied researchers or as an introductory statistical methods textbook for students, not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 8.07MB

Autor

Hang Lee has over twenty years of experience applying statistical methods to study design and data analysis in collaborative medical research setting, as well as, on academic. He received his PhD from University of Southern California Department of Preventive Medicine, received a post-doctoral training at Harvard Department of Biostatistics, has held faculty appointments at UCLA School of Medicine and Harvard Medical School, and currently is a biostatistics faculty member at Massachusetts General Hospital and Harvard Medical School in Boston, Massachusetts, USA

Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 187
• Erscheinungstermin: 22. November 2023
• Englisch
• ISBN-13: 9783031422966
• Artikelnr.: 69512034

Rezensionen

"The book contains a good amount of demonstrations and avoids mathematical expressions except where necessary. Therefore, students who intend to apply statistics in their field of interest ... will definitely find this book useful. ... the book could be a handy guide for applied researchers." (Soubhik Chakraborty, Computing Reviews, July, 2015)