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Statistics and Health Care Fraud How to Save Billions

Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world health care examples and fraud assessment applications. The author presents statistical and analytical methods used in health care fraud audits without requiring any mathematical background. The public suffers from health care overpayments either directly as patients or indirectly as taxpayers and fraud analytics provides ways to handle the large size and complexity of these claims. The book starts with a brief overview of global healthcare systems such as U. S. Medicare. This is followed by a discussion of medical overpayments and assessment initiatives using a variety of real world examples. The book covers subjects as: • Description and visualization of medical claims data • Prediction of fraudulent transactions • Detection of excessive billings • Revealing new fraud patterns • Challenges and opportunities with health care fraud analytics Dr. Tahir Ekin is the Brandon Dee Roberts Associate Professor of Quantitative Methods in McCoy College of Business Texas State University. His previous work experience includes a working as a statistician on health care fraud detection. His scholarly work on health care fraud has been published in a variety of academic journals including International Statistical Review The American Statistician and Applied Stochastic Models in Business and Industry. He is a recipient of the Texas State University 2018 Presidential Distinction Award in Scholar Activities and the ASA/NISS y-Bis 2016 Best Paper Awards. He has developed and taught courses in the areas of business statistics optimization data mining and analytics. Dr. Ekin also serves as Vice President of the International Society for Business and Industrial Statistics. | Statistics and Health Care Fraud How to Save Billions

GBP 24.99

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Advances in Mobile Health Technology A Research Perspective

The COVID-19 pandemic upended the lives of many and taught us the critical importance of taking care of one’s health and wellness. Technological advances coupled with advances in healthcare has enabled the widespread growth of a new area called mobile health or mHealth that has completely revolutionized how people envision healthcare today. Just as smartphones and tablet computers are rapidly becoming the dominant consumer computer platforms mHealth technology is emerging as an integral part of consumer health and wellness management regimes. The aim of this book is to inform readers about the this relatively modern technology from its history and evolution to the current state-of-the-art research developments and the underlying challenges related to privacy and security issues. The book’s intended audience includes individuals interested in learning about mHealth and its contemporary applications from students to researchers and practitioners working in this field. Both undergraduate and graduate students enrolled in college-level healthcare courses will find this book to be an especially useful companion and will be able to discover and explore novel research directions that will further enrich the field. | Advances in Mobile Health Technology A Research Perspective

GBP 42.99

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Monitoring the Health of Populations by Tracking Disease Outbreaks Saving Humanity from the Next Plague

With COVID-19 sweeping across the globe with near impunity it is thwarting governments and health organizations efforts to contain it. Not since the 1918 Spanish Flu have citizens of developed countries experienced such a large-scale disease outbreak that is having devastating health and economic impacts. One reason such outbreaks are not more common has been the success of the public health community including epidemiologists and biostatisticians in identifying and then mitigating or eliminating the outbreaks. Monitoring the Health of Populations by Tracking Disease Outbreaks: Saving Humanity from the Next Plague is the story of the application of statistics for disease detection and tracking. The work of public health officials often crucially depends on statistical methods to help discern whether an outbreak may be occurring and if there is sufficient evidence of an outbreak then to locate and track it. Statisticians also help collect critical information and they analyze the resulting data to help investigators zero in on a cause for a disease. With the recent outbreaks of diseases such as swine and bird flu Ebola and now COVID-19 the role that epidemiologists and biostatisticians play is more important than ever. Features: · Discusses the crucial roles of statistics in early disease detection. · Outlines the concepts and methods of disease surveillance. · Covers surveillance techniques for communicable diseases like Zika and chronic diseases such as cancer. · Gives real world examples of disease investigations including smallpox syphilis anthrax yellow fever and microcephaly (and its relationship to the Zika virus). Via the process of identifying an outbreak finding its cause and developing a plan to prevent its reoccurrence this book tells the story of how medical and public health professionals use statistics to help mitigate the effects of disease. This book will help readers understand how statisticians and epidemiologists help combat the spread of such diseases in order to improve public health across the world. | Monitoring the Health of Populations by Tracking Disease Outbreaks Saving Humanity from the Next Plague

GBP 31.99

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Spatio-Temporal Methods in Environmental Epidemiology

Spatio-Temporal Methods in Environmental Epidemiology with R like its first Edition explores the interface between environmental epidemiology and spatio-temporal modelling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems it shows how recent advances in methodology can assess the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of risks in practice. New additions to the second edition include : a thorough exploration of the underlying concepts behind knowledge discovery through data; a new chapter on extracting information from data using R and the Tidyverse; additional material on methods for Bayesian computation including the use of NIMBLE and Stan; new methods for performing spatio-temporal analysis and an updated chapter containing further topics. Throughout the book there are new examples and the presentation of R code for examples has been extended. Along with these additions the book now has a GitHub site (https://spacetime-environ. github. io/stepi2) that contains data code and further worked examples. Features • Explores the interface between environmental epidemiology and spatio temporal modelling; • Incorporates examples that show how spatio-temporal methodology can inform societal concerns about the effects of environmental hazards on health; • Uses a Bayesian foundation on which to build an integrated approach to spatio-temporal modelling and environmental epidemiology; • Discusses data analysis and topics such as data visualization mapping wrangling and analysis • Shows how to design networks for monitoring hazardous environmental processes networks and the ill-effects of preferential sampling; • Through the listing and application of code shows the power of R tidyverse NIMBLE and Stan and other modern tools in performing complex data analysis and modelling. Representing a continuing important direction in environmental epidemiology this book - in full color throughout - underscores the increasing need to consider dependencies in both space and time when modelling epidemiological data. Readers will learn how to identify and model patterns in spatio-temporal data and how to exploit dependencies over space and time to reduce bias and inefficiency when estimating risks to health.

GBP 39.99

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Digitalization and Social Change A Guide in Critical Thinking

Digitalization is shaping our everyday lives yet navigating the changes it entails can feel like trekking into the unknown where both the possibilities and the consequences are unclear and difficult to grasp. Exploring how digitalization affects all aspects of our lives from health to culture this book aims to develop and strengthen the reader’s ability to think critically about such developments. Written in a clear and concise manner with reference to science fiction and pop culture this book presents potent theoretical perspectives for understanding digitalization processes as societal change. Various exercises are included throughout to encourage readers to critically explore digitalization in their own lives. Replete with illustrations and examples this book is an accessible guide to digitalization in the modern societal context appealing to students at the undergraduate level as well as general readership. | Digitalization and Social Change A Guide in Critical Thinking

GBP 42.99

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Cure Models Methods Applications and Implementation

Cure Models: Methods Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models including estimation inference and software. This book is useful for statistical researchers and graduate students and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling survival models and R and SAS for data analysis. The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages SAS macros and WinBUGS programs to fit some cure models. The main topics covered include the foundation of statistical estimation and inference of cure models for independent and right-censored survival data cure modeling for multivariate recurrent-event and competing-risks survival data and joint modeling with longitudinal data statistical testing for the existence and difference of cure rates and sufficient follow-up new developments in Bayesian cure models applications of cure models in public health research and clinical trials. | Cure Models Methods Applications and Implementation

GBP 35.99

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R Companion for Sampling Design and Analysis Third Edition

The R Companion for Sampling: Design and Analysis designed to be read alongside Sampling: Design and Analysis Third Edition by Sharon L. Lohr (SDA; 2022 CRC Press) shows how to use functions in base R and contributed packages to perform calculations for the examples in SDA. No prior experience with R is needed. Chapter 1 tells you how to obtain R and RStudio introduces basic features of the R statistical software environment and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA with code output and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. R features and functions are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book you will know how to use R to select and analyze almost any type of probability sample. All R code and data sets used in this book are available online to help you develop your skills analyzing survey data from social and public opinion research public health crime education business agriculture and ecology. | R Companion for Sampling Design and Analysis Third Edition

GBP 28.99

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SAS Software Companion for Sampling Design and Analysis Third Edition

The SAS® Software Companion for Sampling: Design and Analysis designed to be read alongside Sampling: Design and Analysis Third Edition by Sharon L. Lohr (SDA; 2022 CRC Press) shows how to use the survey selection and analysis procedures of SAS® software to perform calculations for the examples in SDA. No prior experience with SAS software is needed. Chapter 1 tells you how to access the software introduces basic features and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA with code output and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. Features of the SAS software procedures are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book you will know how to use SAS software to select and analyze almost any type of probability sample. All code is available on the book website and is easily adapted for your own survey data analyses. The website also contains all data sets from the examples and exercises in SDA to help you develop your skills through analyzing survey data from social and public opinion research public health crime education business agriculture and ecology | SAS® Software Companion for Sampling Design and Analysis Third Edition

GBP 28.99

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