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    Maths Skills for Pharmacy: Unlocking pharmaceutical calculations

    Written by leading academics with a wealth of experience in pharmacy education, Maths Skills for Pharmacy combines a unique integrated approach to pharmaceutical and scientific calculations, with innovative learning features designed to encourage self-directed learning.

    Medical Statistics: An A-Z Companion, Second Edition

    An essential medical statistics dictionary for non-statisticians and invaluable aid to critical appraisal for all health care professionals, with a user-friendly style and accessible format.

    Numbers: 10 Things You Should Know

    Discover the ten things we all should know about mathematics in this fascinating collection of short essays

    Principles of Biostatistics

    This book is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. Thoroughly revised, this third edition includes a new chapter introducing the basic principles of Study Design.

    Q.E.D.: Beauty in Mathematical Proo

    The world's best pocket book of mathematical proofs!

    Real-World Evidence in a Patient-Centric Digital Era

    This book will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, as well as policymakers and analysts in the healthcare industry.

    Real-World Evidence in Drug Development and Evaluation

    This book concerns use of real world data (RWD) and real world evidence (RWE) to aid drug development across product cycle. RWD are healthcare data that are collected outside the constraints of conventual controlled randomized trials (CRTs); whereas RWE is the knowledge derived from aggregation and analysis of RWD.

    Regression for Health and Social Science: Applied Linear Models with R

    Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data.

    Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

    Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.

    Ruler and Compass: Practical Geomet

    The ultimate pocket guide.