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020 _a9783031260100
024 7 _a10.1007/978-3-031-26010-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH323.5
_b2023 EB
245 0 0 _aTeaching Biostatistics in Medicine and Allied Health Sciences
_cedited by Damian J J Farnell, Renata Medeiros Mirra
250 _a1st ed. 2023
264 1 _aCham
_bSpringer International Publishing
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aA 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.
520 _aThis 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 teaching (e.g., "R shiny") are described, and how they can be used effectively to increase interaction with students and improve engagement with the subject. The book is structured into three parts: teaching and learning of statistics in medicine and allied health sciences; the move to online learning and online learning methods, especially in light of the impact of COVID-19; and computer tools and resources. It provides a unique insight into teaching biostatistics to medical and dental students from some of the most prominent biostatisticians who also have a very strong interest in biostatistics pedagogy. Biostatistics teaching is important for maintainingthe quality of biomedical research and also in evidence-based medicine, both of which are key to the health and well-being of the world population. This book is particularly useful to readers who are new to the field of biostatistics teaching as well as to more experienced teachers as it presents the latest accounts of the teaching and learning of biostatistics, recent experiences of increased use of online teaching, and useful computer resources and tools for teaching biostatistics.
988 _aSpringer_Medicine_2023
650 7 _2embne
_9139105
_aBiometría
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-26010-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2024
_dz
_ek
_zSI