Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal
৳ 650.00
Book Features & Quality
Premium Paper: Off-white Karnaphuli paper, 80 GSM
Perfect Size: B5 (a little smaller than A4 but bigger than standard books)
High-Quality Print: Computer printed, sharp and clear fonts
Durable Binding: Forma binding, strong and long-lasting
Elegant Cover: Paperback, portable and attractive design
Comfortable Reading: Ideal for eye comfort
- Introduces medical statistics in a clear, practical way
- Focuses on real research questions, not complex mathematics
- Explains how to choose correct statistical tests
- Covers data types: continuous, categorical, and binary variables
- Explains descriptive statistics and data organization
- Teaches group comparisons using t-tests and ANOVA
- Explains correlation and regression analysis
- Covers risk statistics, proportions, and categorical data analysis
- Introduces diagnostic and survival analysis concepts
Title | Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal |
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Authors | |
Publisher | |
Edition | 2nd |
Number Of Pages | 403 |
Belinda Barton and Jennifer Peat are leading experts in medical statistics and research methodology, known for their strong commitment to improving the analytical skills of healthcare professionals and clinical researchers. Their work bridges the gap between statistical theory and real-world medical research, making data analysis both understandable and practical for beginners and advanced learners alike.
Belinda Barton is a respected biostatistician with extensive experience supporting clinical and public health studies. She specializes in guiding medical researchers on how to collect, interpret, and present data accurately. Her teaching is highly valued for its clarity and practical relevance — helping students gain confidence using statistical software and evidence-based analytical methods.
Jennifer Peat is an accomplished educator and research consultant with a long career in medical writing and clinical research methodology. She focuses on empowering healthcare professionals to critically evaluate research findings, strengthen study design, and communicate scientific results clearly and effectively.
Together, they authored Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal, a trusted resource that simplifies the learning process for SPSS users and medical researchers. The book offers step-by-step guidance, practical examples, and essential skills for understanding data, running statistical tests, and appraising research quality with confidence.
This book is ideal for medical students, nursing professionals, public health researchers, and anyone involved in clinical studies who wants to improve their data-analysis skills and produce reliable, impactful scientific research. With Barton and Peat as expert guides, mastering medical statistics becomes both achievable and rewarding.
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