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Teaching biostatistics in medicine a...

Farnell, Damian J. J.

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Teaching biostatistics in medicine and allied health sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Teaching biostatistics in medicine and allied health sciences/ edited by Damian J. J. Farnell, Renata Medeiros Mirra.
其他作者:	Farnell, Damian J. J.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	x, 219 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Biometry - Study and teaching (Higher) -
電子資源:	https://doi.org/10.1007/978-3-031-26010-0
ISBN:	9783031260100

Teaching biostatistics in medicine and allied health sciences
Teaching biostatistics in medicine and allied health sciences[electronic resource] /edited by Damian J. J. Farnell, Renata Medeiros Mirra. - Cham :Springer International Publishing :2023. - x, 219 p. :ill. (chiefly col.), digital ;24 cm.

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.

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 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 maintaining the 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.

ISBN: 9783031260100

Standard No.: 10.1007/978-3-031-26010-0doiSubjects--Topical Terms:

3634671
Biometry
--Study and teaching (Higher)

LC Class. No.: QH323.5

Dewey Class. No.: 570.151950711

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505 0 $a 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.
520 $a 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 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 maintaining the 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.
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