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.
"
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