Roman Gulati's Books

Statistics for Health Data Science

An Organic Approach

By: Ruth Etzioni,Micha Mandel,Roman Gulati

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Statistics for Health Data Science

An Organic Approach

By: Ruth Etzioni,Micha Mandel,Roman Gulati

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/

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Page Count

238

Publisher

Springer Nature

Published Date

ISBN 10

3030598896

ISBN 13

9783030598891

The Economic and Financial Impacts of the COVID-19 Crisis Around the World

Expect the Unexpected

By: Allen N. Berger,Mustafa U. Karakaplan,Raluca A. Roman

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The Economic and Financial Impacts of the COVID-19 Crisis Around the World

Expect the Unexpected

By: Allen N. Berger,Mustafa U. Karakaplan,Raluca A. Roman

The Economic and Financial Impacts of the COVID-19 Crisis Around the World: Expect the Unexpected provides an informed, research-based in-depth understanding of the COVID-19 crisis, its impacts on households, nonfinancial firms, banks, and financial market participants, and the effectiveness of the reactions of governments and policymakers in the United States and around the world. It provides reflections and perspectives on the social costs and benefits of various policies undertaken and a toolkit of preventive measures to deal with crises beyond the COVID-19 crisis. Authors Allen N. Berger, Mustafa U. Karakaplan, and Raluca A. Roman apply their expertise to the research and data on the COVID-19 economic crisis as well as draw on their own rich research experience. They take a holistic approach that compares and contrasts this crisis with other economic and financial crises and assesses economic and financial behavior and government policies in the booms before crises and the aftermaths following them, as well as the crises themselves. They do all this with a keen eye on "Expecting the Unexpected future crises, and policies that might anticipate them and provide better outcomes for society. - Serves as a compendium of available research and data on COVID-19, policies in response to the pandemic, and its effects on the real economy, banking sector, and financial markets - Contextualizes the COVID-19 economic crisis by comparing it to two other global crises from the past: the Crash of 1929 and the Global Financial Crisis of 2007–2009 - Helps illustrate how crises that originate in financial markets and in the banking sector differ from each other as well as from the COVID-19 crisis that harmed the real economy first - Compares the policies and outcomes of nations to the COVID-19 pandemic and assesses their costs and benefits, with potential implications for prospective future crises

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Page Count

522

Publisher

Elsevier

Published Date

ISBN 10

044315273X

ISBN 13

9780443152733

Management Control in Hospitals

A Breakthrough Approach to Improving Performance and Efficiency

By: Roman A. Lewandowski

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Management Control in Hospitals

A Breakthrough Approach to Improving Performance and Efficiency

By: Roman A. Lewandowski

For years, problems related to health-care efficiency have been at the top of the priorities of many hospitals systems and governments. The growing cost of health care, and particularly hospitals, is a significant factor in the increasing pressure for improvement of hospitals’ efficiency while maintaining a high quality of services. Hospitals are recognized as organizations in which waste, unnecessary administrative burdens, failures of care coordination, failures in execution of care processes, and even fraud and abuse are frequently identified as causes. Adoption of management control as a response to hospital problems is consistent with the conviction that control is a critical management function that has the greatest impact on organizational performance. Research proves that the lack of adequate control, adapted to modern organizational solutions, causes many harmful consequences, such as faulty services, dissatisfied patients and employees, inability to effectively compete on market, low flexibility and innovativeness, and, consequently, poor performance of the organization. This book comprehensively presents issues related to management control and develops a breakthrough theory about management control in hospitals. It is the result of many years of research and outlines the concept of control and related theories, which are discussed in detail, taking into account the unique characteristics of medical services, the health-care market, and hospitals as public organizations. Research has shown that the main elements of management control in hospitals are information systems, diagnostic control, interactive control, innovativeness, manager’s trust in physicians, and perceived uncertainty. And that proper relationships between these elements positively influence the hospital’s performance. This book describes how the success of the entire control process is based on the hospital’s top management and its interaction with clinical managers, department heads, and directors of other medical departments as well as clinicians. After reading this book, the implementation of the solutions suggested will help hospitals improve their performance, including the quality and effectiveness of the provided medical services and patient care.

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Page Count

443

Publisher

CRC Press

Published Date

ISBN 10

1000933946

ISBN 13

9781000933949

Statistics for Health Data Science

An Organic Approach

By: Ruth B. Etzioni,Micha Mandel,Roman Gulati

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Statistics for Health Data Science

An Organic Approach

By: Ruth B. Etzioni,Micha Mandel,Roman Gulati

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students' anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep ("organic") understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/.

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Page Count

222

Published Date

ISBN 10

303059890X

ISBN 13

9783030598907

Book's by Roman Gulati

Statistics for Health Data Science

Statistics for Health Data Science

The Economic and Financial Impacts of the COVID-19 Crisis Around the World

The Economic and Financial Impacts of the COVID-19 Crisis Around the World

Management Control in Hospitals

Management Control in Hospitals

Statistics for Health Data Science

Statistics for Health Data Science

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