Probability and statistics Books
Taylor & Francis Ltd RealWorld Evidence in a PatientCentric Digital
Book SynopsisReal-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview Table of ContentsPreface: Real World Evidence and Digital Innovation to Combat Noncommunicable Diseases. 1. Real World Evidence Generation. 2. Applications of RWE for Regulatory Uses. 3. Ethics & Bioethics. 4. Real- World Data, Big Data and Artificial Intelligence: Recent Development and Emerging Trends in the European Union. 5. Patient centricity and Precision Medicine. 6. Health Information Technology. 7. Digital Health Technologies and Innovations. 8. Economic Analysis and Outcome Assessment. 9. Partnerships and Collaborations. 10. Global Perspective: China Big Data Collaboration to Improve Patient Care. 11. The Future of Patient-Centric Data-Driven Healthcare
£99.75
Taylor & Francis Ltd Handbook of Mathematics and Statistics for the Environment
a huge range and FREE tracked UK delivery on ALL orders.
£73.14
Taylor & Francis Ltd Bayesian Modeling and Computation in Python
Book SynopsisBayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory.The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathemTrade Review"By far one of the biggest challenges in the practical (and academic) application of Bayesian Statistics is that practitioners need both a strong understanding of the mathematics of Bayesian statistics as well as fairly sophisticated programming ability. This book does a consistently great job of teaching both of these simultaneously…One great example of this is that way in which practical advice, drawing from both academic experience and software engineering experience, is placed throughout the learning process. Pointing out tools to help avoid errors in your model, along with common libraries that make the process easier, really help the reader feel that they are being onboarded by an experienced, kind and helpful team of Bayesian Practitioners. This book is the advanced, practical Bayesian statistics book that is currently missing from my bookshelf." -Will Kurt, author of "Bayesian Statistics the Fun Way""From a technical standpoint, the reviewed chapters are excellent. Too often, statistical textbooks are mathematically sound, but lacking in computational sophistication, or vice versa. These chapters are sound on both fronts. My current primary textbook for Bayesian computation is Bayesian Data Analysis, by Gelman et al. which is probably the standard in academia and industry with respect to applied Bayesian methods. Where Martin et al. differentiate themselves from Gelman et al. (and others) is in the incorporation of Python as the computing language used throughout the book…This manuscript has the potential to be a preferred textbook for those looking for a practical introduction to these methods." -Christopher Fonnesbeck, Vanderbilt University Medical Center and Senior Quantitative Analyst, New York Yankees"I think this book is particularly appropriate for Master's degree levels classes and intermediate level users in general. The topics can be quite advanced and are definitely original--a lot of them are not dealt with in the other books I know on the market. For instance, if I want to learn about Bayesian additive models with PyMC or time series with TFP, there are no other books on these topics yet. Chapter 8, about approximate Bayesian computation is also very novel, as it draws on the latest and most advanced research on the topic (as do chapters 6 and 7 for splines and BARTs). The focus the authors have on graphs, decision making under uncertainty, and the technical appendices are very useful. The first two allow for more concrete courses that alternate with more theoretical chapters and courses. The technical appendices allow students to concentrate on the substance during the chapters, and then to dive into the details of the implementation when it becomes necessary. In short, I think this book hits two targets that have not been hit yet: an intermediate-level book, written in Python." -Alexandre Andorra, PyMC Developer, Cofounder of PyMC Labs, and Host of the Learning Bayesian Statistics podcast"With the number of Bayesian statistics books proliferating, a natural question is ‘what sets this one apart’? First, the authors have a deep understanding of the software as they are contributors and developers of several Bayesian packages in the Python ecosystem. Second, the book covers useful but rarely discussed topics such as Bayesian additive regression trees (BART), fitting models with approximate Bayesian computation (ABC) methods and probabilistic programming languages, which takes a computer science perspective and compares several languages. Third, the book covers not only a wide range of models (splines, hierarchical, time series and state-space models are also discussed) but also provides depth of coverage so that users can apply the methods to their own research. ... The book is ideal for self-study, but end of chapter exercises could make it suitable for an undergraduate course. Some knowledge of Python, probability and fitting models to data are need to fully benefit from the content."-Stanley E. Lazic in Journal of the Royal Statistical Society Series A (Statistics in Society), April 2022Table of Contents1. Bayesian Inference 2. Exploratory Analysis of Bayesian Models 3. Linear Models and Probabilistic Programming Languages 4. Extending Linear Models 5. Splines 6. Time Series 7. Bayesian Additive Regression Trees 8. Approximate Bayesian Computation 9. End to End Bayesian Workflows 10. Probabilistic Programming Languages 11. Appendiceal Topics
£93.72
Taylor & Francis Ltd A Tour of Data Science
a huge range and FREE tracked UK delivery on ALL orders.
£48.99
Taylor & Francis Ltd Statistics Behind the Headlines
a huge range and FREE tracked UK delivery on ALL orders.
£25.99
Taylor & Francis Ltd Statistics Behind the Headlines
Book SynopsisHow do you learn about what's going on in the world? Did a news headline grab your attention? Did a news story report on recent research? What do you need to know to be a critical consumer of the news you read? If you are looking to start developing your data self-defense and critical news consumption skills, this book is for you! It reflects a long-term collaboration between a statistician and a journalist to shed light on the statistics behind the stories and the stories behind the statistics. The only prerequisite for enjoying this book is an interest in developing the skills and insights for better understanding news stories that incorporate quantitative information.Chapters in Statistics Behind the Headlines kick off with a news story headline and a summary of the story itself. The meat of each chapter consists of an exploration of the statistical and journalism concepts needed to understand the data analyzed and reported in the story. The chapters are organized aTrade Review"We live in a time when information channels have been de-centralized, and the usual gatekeepers —journalists, experts, public officials— have lost much of their power to control what information we receive. There are positive consequences to this cultural shift, but also negative ones: misinformation, disinformation, and simple misunderstandings due to ignorance run rampant. This book is an antidote to that. Using a friendly and occasionally humorous voice, John Bailer and Rosemary Pennington teach us, general readers, how to become more critical consumers of the statistics we see every day in the news and in social media. What a delight."- Alberto Cairo, University of Miami"With each chapter, the authors cover not only various aspects of real life but also offer various flavors of modern science, like the notion of data literacy, an overview of organizations responsible for data collection, reporting practices, and many more. They take readers on a path to investigate the background research and the forefront of storytelling. They motivate readers to hone their’ skills as data-savvy consumers of daily news. [...] Science searches for broad patterns that capture general truths about the world. Narratives search for connections through human experience that assign meaning and value to reality. The book by Bailer and Pennington masterfully stitched these two worlds together, helping to approach both research results and news coverage with a critical eye. [...] I am sure that this book is a great educational resource for those interested in many fields: statistics, journalism, ethics, education, and their interplay and practical applications."- Elena N. Naumova in Journal of Public Health Policy, January 2024"A beautifully accessible, thought-provoking book that should be an invaluable resource for journalists who use statistics - which, these days, is all journalists. Through clear, current examples, the authors rigorously interrogate the way data are interpreted and presented, and force us to question how to do this in a way that better serves the public without feeding misinformation, hype, or hysteria. I'm sure I will be using it as a reference guide regularly, and recommending it to other reporters."- Angela Saini, Science Journalist, New York"An excellent and really useful aspect of the book is that it’s jointly written by a statistician and a journalist. As the book itself makes clear, journalists and statisticians have different skills, different motivations, and different reasons for reporting their work. And there are others involved – usually the headline on a media story is not written by the journalist who wrote the study, for example. If you’re aiming to make sense of a media story about statistics, and the story behind the story, you need to understand how all that works. Not only can Bailer and Pennington cover both sides – they both already have long experience of working across that professional divide, and understanding of how and why statisticians and journalists do what they do. The book is primarily aimed at a general audience – but I think that it will also be helpful to statisticians and journalists who need to understand more about what the ‘other side’ does. They would be able to skip some of the detail about their own profession, but seeing how everything fits together is important to anyone who needs to communicate effectively about numbers. There are other strengths too. Each main chapter uses the same basic structure for making sense of a statistically-based story, and readers can use the same structure as a basis for picking apart stories for themselves. And there are links to the excellent Stats + Stories podcast series, developed by Bailer, Pennington and others, that take the ideas forward."- Kevin McConway, The Open University"Statistics Behind the Headlines makes statistics accessible for wide audiences. The book teaches foundational statistical concepts through engaging and timely stories. It would make an excellent textbook for any course that teaches statistical thinking, whether for undergraduates, journalists, or medical professionals. Each chapter allows readers to "peer under the hood" of data-based claims and equips them with the tools needed to critically evaluate these claims. The reader-friendly style provides a refreshing contrast to the stodgy and intimidating style of most statistics books. Readers will develop an appreciation for statistics; learn how to spot hype and misinformation; and become more savvy consumers of numbers-based news."- Kristin Sainani, Stanford University Table of Contents1. A Field Guide to Reading the Statistics behind the Headlines 2. Predicting Global Population Growth and Framing how you Report It 3. Social Media and Mental Health 4. Speedy Sneakers: Technological Boosterism or Sound Science? 5. Investigating Series Binge-watching 6. Tracking the Spread of "False News" 7. Modeling What It Means to "Flatten the Curve" 8. One Governor, Two Outcomes, and Three COVID Tests 9. Research Reproducibility and Reporting Results 10. Now, what?
£58.89
Taylor & Francis Ltd Predictive Inference An Introduction 55 Monographs on Statistics and Applied Probability
a huge range and FREE tracked UK delivery on ALL orders.
£999.99
Taylor & Francis Ltd A Course in Large Sample Theory 38 Chapman Hall Texts in Statistical Science Series
a huge range and FREE tracked UK delivery on ALL orders.
£135.00
Taylor & Francis Ltd Applied Bayesian Forecasting and Time Series Analysis Chapman HallCRC Texts in Statistical Science
a huge range and FREE tracked UK delivery on ALL orders.
£166.25
Taylor & Francis Ltd Analysis of Messy Data Volume II Nonreplicated Experiments Nonreplicated Experiments v 2
a huge range and FREE tracked UK delivery on ALL orders.
£147.25
Taylor & Francis Ltd Introduction to Multivariate Analysis
a huge range and FREE tracked UK delivery on ALL orders.
£92.14
Taylor & Francis Ltd Point Processes
a huge range and FREE tracked UK delivery on ALL orders.
£166.25
Taylor & Francis Ltd Analysis of Binary Data
a huge range and FREE tracked UK delivery on ALL orders.
£156.75
Taylor & Francis Ltd Analysis of Infectious Disease Data
a huge range and FREE tracked UK delivery on ALL orders.
£147.25
Taylor & Francis Ltd Artificial Intelligence Frontiers in Statistics Al and Statistics III
a huge range and FREE tracked UK delivery on ALL orders.
£168.12
Taylor & Francis Ltd Statistical Analysis of Reliability Data 27 Chapman HallCRC Texts in Statistical Science
a huge range and FREE tracked UK delivery on ALL orders.
£114.00
Taylor & Francis Ltd Statistical Inference Based on the likelihood Based on the Likeihood 68 Chapman HallCRC Monographs on Statistics and Applied Probability
a huge range and FREE tracked UK delivery on ALL orders.
£114.00
Taylor & Francis Ltd Mixed Poisson Processes 77 Chapman HallCRC Monographs on Statistics and Applied Probability
a huge range and FREE tracked UK delivery on ALL orders.
£147.25
Taylor & Francis Ltd Multiple Comparisons Theory And Methods Guilford School Practitioner
a huge range and FREE tracked UK delivery on ALL orders.
£147.25
Taylor & Francis Using Statistics to Understand the Environment Routledge Introductions to Environment Environmental Science
a huge range and FREE tracked UK delivery on ALL orders.
£199.50
Taylor & Francis Ltd Using Statistics to Understand the Environment Routledge Introductions to the Environment
a huge range and FREE tracked UK delivery on ALL orders.
£37.99
Taylor & Francis Statistics for Sport and Exercise Studies
a huge range and FREE tracked UK delivery on ALL orders.
£156.75
Taylor & Francis Ltd An Objective Theory of Probability Routledge Revivals
a huge range and FREE tracked UK delivery on ALL orders.
£999.99
Taylor & Francis Ltd An Objective Theory Of Probability Routledge Revivals
a huge range and FREE tracked UK delivery on ALL orders.
£51.29
Taylor & Francis Mathematics for Economists with Applications
a huge range and FREE tracked UK delivery on ALL orders.
£175.75
Taylor & Francis Mathematics for Economists with Applications
a huge range and FREE tracked UK delivery on ALL orders.
£99.75
Taylor & Francis Ltd A Primer of Multivariate Statistics
a huge range and FREE tracked UK delivery on ALL orders.
£51.29
Taylor & Francis Ltd Latent Variable and Latent Structure Models
a huge range and FREE tracked UK delivery on ALL orders.
£51.29
Taylor & Francis Ltd New Developments In Categorical Data Analysis For The Social And Behavioral Sciences
a huge range and FREE tracked UK delivery on ALL orders.
£999.99
Taylor & Francis Ltd Modeling Intraindividual Variability With Repeated Measures Data
a huge range and FREE tracked UK delivery on ALL orders.
£49.39
Taylor & Francis Ltd New Developments and Techniques in Structural Equation Modeling
a huge range and FREE tracked UK delivery on ALL orders.
£41.59
Taylor & Francis MetaRegression Analysis in Economics and Business
a huge range and FREE tracked UK delivery on ALL orders.
£142.50
Taylor & Francis The Meaning of the Concept of Probability in Application to Finite Sequences Routledge Revivals
a huge range and FREE tracked UK delivery on ALL orders.
£45.59
Taylor & Francis The Meaning of the Concept of Probability in Application to Finite Sequences Routledge Revivals
a huge range and FREE tracked UK delivery on ALL orders.
£32.99
Taylor & Francis Statistics for Business
a huge range and FREE tracked UK delivery on ALL orders.
£175.75
Taylor & Francis Longitudinal Data Analysis
a huge range and FREE tracked UK delivery on ALL orders.
£128.25
Taylor & Francis Longitudinal Data Analysis
a huge range and FREE tracked UK delivery on ALL orders.
£51.29
Taylor & Francis Ltd Introductory Regression Analysis with Computer Application for Business and Economics
a huge range and FREE tracked UK delivery on ALL orders.
£99.75
Taylor & Francis Introductory Regression Analysis with Computer Application for Business and Economics
a huge range and FREE tracked UK delivery on ALL orders.
£73.14
Elsevier Science Essential Bayesian Models
Book SynopsisFocuses on key methodologies and applications for Bayesian models and computation. This book describes parametric and nonparametric Bayesian methods for modeling, and how to use modern computational methods to summarize inferences using simulation.Table of Contents1. Model Selection and Hypothesis Testing based on Objective Probabilities and Bayes Factors; 2. Bayesian Model Checking and Model Diagnostics; 3. Bayesian Nonparametric Modeling and Data Analysis: An Introduction; 4. Some Bayesian Nonparametric Models; 5. Bayesian Modeling in the Wavelet Domain; 6. Bayesian Methods for Function Estimation; 7. MCMC Methods to Estimate Bayesian Parametric Models; 8. Bayesian Computation: From Posterior Densities to Bayes Factors, Marginal Likelihoods, and Posterior Model Probabilities; 9. Bayesian Modelling and Inference on Mixtures of Distributions; 10. Variable Selection and Covariance Selection in Multivariate Regression Models; 11. Dynamic Models; 12. Elliptical Measurement Error Models – A Bayesian Approach; 13. Bayesian Sensitivity Analysis in Skew-elliptical Models; 14. Bayesian Methods for DNA Microarray Data Analysis; 15. Bayesian Biostatistics; 16. Innovative Bayesian Methods for Biostatistics and Epidemiology; 17. Modeling and Analysis for Categorical Response Data; 18. Bayesian Methods and Simulation-Based Computation for Contingency Tables; 19. Teaching Bayesian Thought to Nonstatisticians
£53.99
Taylor & Francis Ltd The Doctrine of Chances A Method of Calculating the Probabilities of Events in Play Library of Science Classics
a huge range and FREE tracked UK delivery on ALL orders.
£128.25
Taylor & Francis Applied Statistics for Public Policy
a huge range and FREE tracked UK delivery on ALL orders.
£128.25
Taylor & Francis Advanced Structural Equation Modeling
a huge range and FREE tracked UK delivery on ALL orders.
£128.25
Taylor & Francis What If There Were No Significance Tests Multivariate Applications Series
a huge range and FREE tracked UK delivery on ALL orders.
£128.25
Taylor & Francis Structural Equation Modeling With Lisrel Prelis and Simplis
a huge range and FREE tracked UK delivery on ALL orders.
£128.25
Taylor & Francis Levines Guide to SPSS for Analysis of Variance
a huge range and FREE tracked UK delivery on ALL orders.
£80.74
Taylor & Francis Introduction to Statistical Mediation Analysis
a huge range and FREE tracked UK delivery on ALL orders.
£999.99
Taylor & Francis Structural Equation Modeling With EQS
a huge range and FREE tracked UK delivery on ALL orders.
£999.99