Statistical Methods and Models for Health and Clinical Studies / by Shahjahan Khan, Md. Shafiur Rahman.

Format:

Book

Author/Creator:

Khan, Shahjahan.

Contributor:

Rahman, Shafiur.

Series:

Medicine Series

Language:

English

Subjects (All):

Biometry.

Statistics.

Medical informatics.

Medical sciences.

Biostatistics.

Health Informatics.

Health Sciences.

Local Subjects:

Biostatistics.

Statistics.

Health Informatics.

Health Sciences.

Physical Description:

1 online resource (578 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks. By using real-life examples and motivational scenarios from health studies, the book explains all relevant concepts and methods in an engaging and accessible manner, avoiding unnecessary mathematical jargon. Every chapter of the book starts with a set of learning outcomes to guide the researchers and users. Special attention is given to explaining statistical concepts with examples from various health areas, ensuring clarity and understanding. The book covers a wide range of topics, including data description and collection, study designs, inferential methods, statistical model fittings, and data analysis using SPSS, R, and STATA codes. Readers are provided with step-by-step guidance with illustrations, making it easier to follow along and apply the techniques discussed, and interpretation of results in the context of the problem. The book highlights the importance of statistics in solving health and clinical problems, equipping readers with the essential tools and strategies needed for evidence-based decision-making. By focusing on practical examples and real-world applications, this book serves as an invaluable resource for health professionals and researchers offering valuable insights and practical advice to help navigate the complexities of statistical analysis in the health and clinical fields.

Contents:

Part I: Introduction to Data (Khan)

Chapter 1 – Introduction to Variables and Data

Chapter 2: Data Description – Graphical and Numerical

Part II: Probability and Distributions (Khan)

Chapter 3: Probability concepts and discrete models

Chapter 4: Normal distribution and applications

Part III Data Production and Study Designs (Khan)

Chapter 5: Observational studies

Chapter 6: Experimental studies

Part IV : Inferential Methods (Khan)

Chapter 7: Statistical inference – Estimation

Chapter 8: Statistical inference – Test of hypothesis (One sample)

Chapter 9: Hypothesis tests for two and more means

Part V : Linear Models (Rahman)

Chapter 10: Relationship between quantitative variables

Chapter 11: Relationship between two categorial variables

Chapter 12: Nonlinear regression models

Chapter 13: Multilevel models

Chapter 14: Survival analysis.

ISBN:

981-9608-78-3