Whilst the ‎'‎health sciences‎'‎ are a broad and diverse area‎,‎ and includes public health‎,‎ primary care‎,‎ health psychology‎,‎ psychiatry and epidemiology‎,‎ the research methods and data analysis skills required to analyse them are very similar‎.‎ Moreover‎,‎ the ability to appraise and conduct research is emphasised within the health sciences ‎- and students are expected increasingly to do both‎.‎ Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods‎,‎ and the most widely used techniques for collecting and analysing data in the health sciences‎.‎ Highly practical in nature‎,‎ the book guides you‎,‎ step‎-by‎-step‎,‎ through the research process‎,‎ and covers both the consumption and the production of research and data analysis‎.‎ Divided into the three strands that run throughout quantitative health science research ‎- critical numbers‎,‎ critical appraisal of existing research‎,‎ and conducting new research ‎- this accessible textbook introduces‎:‎ * Descriptive statistics * Measures of association for categorical and continuous outcomes * Confounding‎,‎ effect modification‎,‎ mediation and causal inference * Critical appraisal * Searching the literature * Randomised controlled trials * Cohort studies * Case‎-control studies * Research ethics and data management * Dissemination and publication * Linear regression for continuous outcomes * Logistic regression for categorical outcomes‎.‎ A dedicated companion website offers additional teaching and learning resources for students and lecturers‎,‎ including screenshots‎,‎ R programming code‎,‎ and extensive self‎-assessment material linked to the book‎'‎s exercises and activities‎.‎ Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data‎,‎ it is essential reading for all undergraduate and postgraduate students in the health and medical sciences‎.‎