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Contents:
  1. Master of Science in Pharmaceutical Economics and Policy
  2. Pharmaceutical economics and policy / Stuart O. Schweitzer. - Version details - Trove
  3. Master of Science in Pharmaceutical Economics and Policy
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Patrik Rane, Ph.D./ Pharmaceutical Health Outcomes and Policy, College of Pharmacy

It can also be a valuable reference for professionals involved in litigation related to medication errors. Lastly, faculty members could use this book in didactic courses involving health care outcomes, therapeutics, and ethics as well as active-learning courses. While primarily targeted towards those in the United States, some chapters in the book make reference to medication errors in other countries.

Master of Science in Pharmaceutical Economics and Policy

In summary, Medication Errors would be an invaluable resource for hospital administrators and staff, pharmacy practitioners, industry leaders, and faculty members who participate in service, research, or education endeavors involving the identification, evaluation, reduction or prevention of medication errors. This book provides a comprehensive, yet concise picture of medication errors in the health care system with thoughtful examination as to why errors occur and potential solutions to prevent them. The publication of this book is an excellent addition to the IOM series about medication error prevention and will serve as a practical guide for the health care community.

The second edition of Dr.

Pharmaceutical economics and policy / Stuart O. Schweitzer. - Version details - Trove

De Muth's book Basic Statistics and Pharmaceutical Statistical Applications is the latest in a series of biostatistic references guided by Dr. Shein-Chung Chow as the senior series editor. De Muth has made several important expansions over the first edition, particularly in the latter part of the text with the addition of the latest inferential statistical procedures, as well as a new discussion of measures of association and a discussion of common statistical errors identified in the medical and pharmaceutical literature.

The first 8 chapters of the text are devoted largely to the necessary fundamentals: types of data; probabilities; sampling; visual display of data; measures of central tendency; the normal distribution; confidence intervals; and hypothesis testing. Chapters 9 through 14 discuss, in a menu-like fashion, all of the major parametric tests beginning with t tests, ANOVA, correlation analysis, and linear regression.

Chapters 15 and 16 discuss testing of proportions Chi square and z tests of proportions.

Master of Science in Pharmaceutical Economics and Policy

Chapter 17, which is newly added, describes measures of association applicable to dichotomous, nominal, and ordinal data. Chapters 18 and 19 discuss additional measures of association often found traditionally in discussions of epidemiology ie, relative risk, odds ratios, sensitivity, specificity, and likelihood ratios. The remaining 5 chapters of the text are devoted to discussions of survival analysis, nonparametric tests, tests for equivalence, tests for outliers, and a short but relevant concluding chapter of statistical errors in literature.

In his preface to the second edition, Dr.

Language selection

Based on many years of experience working with undergraduate pharmacy students, I believe this text does a better job of meeting the latter goal as a reference text than the former goal as an introductory text for students. In addition, with the diversity of material selected in this text, the author simply cannot give sufficient background, theory, and applied examples suitable for a student's first exposure to this field.

On the contrary, this text represents a very complete and up-to-date reference with mention of virtually all contemporary statistical procedures, adjustments, and processes that are likely to be found in the medical and pharmaceutical literature. For the reader with statistical training, this edition provides a suitable description with appropriate applications for a very wide range of statistical tests and should appeal to a similarly diverse range of pharmaceutical scientists, regardless of their specialty.

Pharmaceutical Economics and Policy, 2nd Edition Richard R.


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Cline, Laura B. Hansen, and Leon E. Cosler Schweitzer SO. Pharmaceutical Economics and Policy , 2nd Edition. New York. Medication Errors.


  • Authors and Affiliations.
  • Pharmacoeconomics/Pharmaceutical Economics.
  • Pharmaceutical Economics and Policy.
  • Industrial Applications.

De MUTH. ISBN Though it is a manufacturing industry, the pharmaceutical industry has several economic aspects that make it fundamentally different from any other. Pharmaceutical Economics and Public Policy takes these sometimes confusing and difficult economic aspects within this unique industry and makes them understandable.

The book is carefully referenced and includes numerous figures and tables to clearly present data. Topics in Pharmaceutical Economics and Public Policy include:.

Search all titles. Search all titles Search all collections. Your Account Logout. The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'.

It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

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This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.

Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal. Evolution of the number of total citation per document and external citation per document i.