Design of Observational Studies, Rosenbaum Paul R.

Автор: Paul R. Rosenbaum
Название: Design of Observational Studies
ISBN: 1461424860 ISBN-13(EAN): 9781461424864
Издательство: Springer
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Цена: 121110.00 T
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Описание: Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies.

Автор: Bakeman
Название: Sequential Analysis and Observational Methods for the Behavioral Sciences
ISBN: 0521171814 ISBN-13(EAN): 9780521171816
Издательство: Cambridge Academ
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Цена: 43290.00 T
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Описание: Provides a thorough grounding in observational methods along with considerable practical advice. Behavioral scientists use observational methods to study relatively natural, spontaneous behavior as it unfolds in time. This book is rich with examples of coding methods and different approaches to sequential analysis, including both statistical and graphical means.

Автор: Rosenbaum Paul R.
Название: Design of Observational Studies
ISBN: 3030464040 ISBN-13(EAN): 9783030464042
Издательство: Springer
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Цена: 102480.00 T
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Описание: This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.

Автор: Aris Spanos
Название: Probability Theory and Statistical Inference: Empirical Modeling with Observational Data
ISBN: 1316636372 ISBN-13(EAN): 9781316636374
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: Doubt over the trustworthiness of published empirical results is often a result of statistical mis-specification or invalid probabilistic assumptions. This course in empirical research methods enables the specification and validation of statistical models, facilitating their informed implementation and giving rise to trustworthy evidence.

Автор: Yoder Paul, Symons Frank
Название: Observational Measurement of Behavior
ISBN: 0826137970 ISBN-13(EAN): 9780826137975
Издательство: Mare Nostrum (Eurospan)
Цена: 66050.00 T
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Описание: Like any other research tool, observational methods can be misused. The authors introduces graduate students to the competent conduct of observational research methods and measurement. Their approach embraces both single-subject and group-design perspectives of observational methods, instructing students when and how to use both methodologies.

Автор: Rosenbaum, Paul
Название: Replication and evidence factors in observational studies
ISBN: 0367483882 ISBN-13(EAN): 9780367483883
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: "Concepts and Applications": readable by most people who use statistical methods for empirical research on human beings - epidemiologists, medical researchers, social scientists."Theory": readable to people with a PhD in statistics. The goal is to make the subject accessible without specialized knowledge, something not possible in articles.

Автор: Sandip K. Chakrabarti
Название: Observational Evidence for Black Holes in the Universe
ISBN: 9401059950 ISBN-13(EAN): 9789401059954
Издательство: Springer
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Цена: 46570.00 T
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Описание: Proceedings of a conference held in Calcutta, India, January 10-17, 1998

Автор: Nauta Jozef
Название: Statistics in Clinical and Observational Vaccine Studies
ISBN: 3030376923 ISBN-13(EAN): 9783030376925
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. It opens with two introductory chapters on the immunology of vaccines to provide readers with the necessary background knowledge. It then continues with an in-depth exploration of the analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.

Автор: Kerig Patricia K., Lindahl Kristin M.
Название: Family Observational Coding Systems: Resources for Systemic Research
ISBN: 113800331X ISBN-13(EAN): 9781138003316
Издательство: Taylor&Francis
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Цена: 54090.00 T
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Описание: This vol presents details on the developmnt and use of several observationl coding systems for use in family resrch. Each is most appropriate for some kinds of work and extensions for others. For researchers, students, and clinicians dealing with familie

Автор: Nauta Jozef
Название: Statistics in Clinical and Observational Vaccine Studies
ISBN: 3030376958 ISBN-13(EAN): 9783030376956
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

1.The Interplay Between Microorganisms and the Immune System.- 2. Analysis of Immunogenicity Data.- 3. Vaccine Field Studies.- 4. Correlates of Protection.- 5. Analysis of Vaccine Safety Data.

Автор: Aris Spanos
Название: Probability Theory and Statistical Inference: Empirical Modeling with Observational Data
ISBN: 1107185149 ISBN-13(EAN): 9781107185142
Издательство: Cambridge Academ
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Цена: 109830.00 T
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Описание: Doubt over the trustworthiness of published empirical results is often a result of statistical mis-specification or invalid probabilistic assumptions. This course in empirical research methods enables the specification and validation of statistical models, facilitating their informed implementation and giving rise to trustworthy evidence.