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Applied Statistical Considerations for Clinical Researchers
Authors: ---
ISBN: 9783030874100 9783030874094 9783030874117 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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Abstract

This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice. Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.


Periodical
World health statistics quarterly. : Rapport trimestriel de statistiques sanitaires mondiales.
Author:
Year: 1978 Publisher: [Genève], [World Health Organization]


Periodical
World health statistics quarterly. : Rapport trimestriel de statistiques sanitaires mondiales.
Author:
Year: 1978 Publisher: [Genève], [World Health Organization]


Book
Statistics for Psychology Research : A Short Guide Using Excel
Authors: ---
ISBN: 9783031609701 3031609700 Year: 2024 Publisher: Cham : Springer Nature Switzerland : Imprint: Palgrave Macmillan,

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"This text absolutely puts the student at the center. The processes and meaningful applications of statistical methods are presented in an approachable format. I've been teaching statistics to students from many fields for well over a decade and I'm excited to revamp my course using this text as the backbone." Dr. Jennifer Daniels, Associate Professor of Psychology, Lyon College, USA This book aims to help psychology students build their skills to conduct research and analyses using Microsoft Excel's Data Analysis Toolpak. Concise yet comprehensive, this accessible textbook walks students through basic research methodology, central tendency, variability, standardized scores, t-tests (independent and related samples), One-way Analysis of Variance (between-groups and repeated measures), the Pearson correlation, and Chi Square analyses. Each chapter includes examples of research questions to be addressed, the rationale for the analysis, a step-by-step analysis of the dataset in equation format and using Microsoft Excel, and how to present results in APA (7th Edition) style. The extensive didactic material encompasses end-of-chapter questions, learning outcomes, sidebar boxes with common mistakes to avoid, and biographical sketches of those who developed research methods and statistical techniques. Students and instructors will also benefit from a companion website where PowerPoint slides and additional exercises, datasets, and resources are available. Ideal for undergraduate psychology courses, this textbook can also be of use for those interested in learning more about statistical research and its practical application at university and beyond. Test your knowledge with questions and answers about the book with Springer Nature Flashcards. Adam Tyler Hutcheson is Assistant Professor of Psychology at Georgia Gwinnett College, USA, where he has taught Behavioral Statistics and Research Methods since 2012. His research focuses on memory, attention, and perception with an emphasis in training students preparing for graduate school. Kristina Groce Brown is an Associate Professor of Psychology at Georgia Gwinnett College, USA. Drawing on her background as a School Psychologist, her research interests focus on college students' mental health and wellbeing. She teaches multiple sections of Behavioral Statistics each year at Georgia Gwinnett College. .


Book
Likelihood and Bayesian Inference
Authors: --- ---
ISBN: 9783662607923 3662607921 Year: 2020 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg :Imprint: Springer

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This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.


Book
Modern Statistical Methods for Health Research
Authors: ---
ISBN: 3030724379 3030724360 Year: 2021 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.


Book
Software reliability growth models
Authors: ---
ISBN: 9811600252 9811600244 Year: 2021 Publisher: Singapore : Springer,


Book
Statistical learning and modeling in data analysis : methods and applications
Author:
ISBN: 3030699447 3030699439 Year: 2021 Publisher: Cham, Switzerland : Springer,

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