Teaching Biostatistics in Medicine and Allied Health Sciences
This book discusses the theory and practice of teaching biostatistics to students in the life sciences, in particular medical and dental trainees and researchers, as well as its crucial importance to biomedical research and evidence-based health care. Specific tools and resources to biostatistics te...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- A Survey of Biostatistics Teaching in Medicine and Dentistry in Higher Education in the UK
- Evidence-based practice teaching for undergraduate dental students
- Teaching Medical Statistics within the context of Evidence Based Medicine
- Teaching Null Hypothesis Significance Testing (NHST) in the Health Sciences: The Significance of Significance
- Teaching conceptual understanding of p-values and of confidence intervals, whilst steering away from common misinterpretations
- Using directed acyclic graphs (DAGs) to represent the data generating mechanisms of disease and healthcare pathways: a guide for educators, students, practitioners and researchers
- Statistics without maths: using Random Sampling to teach Hypothesis Testing
- COVID-19: Online not distant – MSc students’ feedback on an alternative approach to teaching ‘Research Methods and Introduction to Statistics’ at UCL Queen Square Institute of Neurology
- Common misconceptions of online statistics teaching
- Authentic project-based assessment using the Islands: Instructor’s view
- An interactive application demonstrating frequentist and Bayesian inferential frame-works
- Teaching data analysis to life scientists using “R” statistical software: challenges, opportunities, and effective methods
- Statistics in a world without science
- Killing me softly with your stats teaching: How much stats is too much stats?
- Life as a medical statistician