This book provides a clear and practical guide to the mathematical and statistical concepts relevant to anaesthesia. It emphasizes understanding physiological and pharmacological models, probability, statistical inference, regression analysis, and other quantitative tools in the clinical context. Illustrations and diagrams make complex ideas more accessible.
Presents design and analytic foundations for group-randomized trials, mixed-model methods, power/sample-size estimation, and illustrative real-world case studies.
Revised edition with improved structure, expanded methods including Bayesian, survival analysis, epidemiology, and lab assays; recognized in BMA book awards. Present mathematical content via formulae rather than proofs.
Understanding Biostatistics by Sharad Srivastava is an introductory textbook aimed at medical, biological, and health science students. It covers fundamental concepts of biostatistics such as descriptive statistics, probability distributions, hypothesis testing, linear regression, ANOVA, and survival analysis in a medical context. Emphasizing clarity over technical depth, it uses diagrams and s…
This book presents a comprehensive treatment of coherence and quantum statistical properties of light and atoms. It integrates theoretical models and experimental results, making it a valuable reference for researchers and graduate students in quantum optics and atomic physics.
A widely used undergraduate textbook presenting practical applications of statistics in biology. It covers descriptive statistics, distributions, hypothesis testing, analysis of variance (one-way and two-way), regression, correlation, and frequency analysis. The text includes numerous worked examples and statistical tables.
A highly practical guide for biologists, this textbook covers key statistical concepts—such as experimental design, analysis of variance, regression, and correlation—with clear biological examples and guidance tailored for real-world research contexts.