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Author: James Alan Fox
Publisher: SAGE Publications
ISBN: 1483381056
Category : Social Science
Languages : en
Pages : 93
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Book Description
Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.
Author: James Alan Fox
Publisher: SAGE Publications
ISBN: 1483381056
Category : Social Science
Languages : en
Pages : 93
Get Book Here
Book Description
Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.
Author: Arijit Chaudhuri
Publisher: Routledge
ISBN: 1351419838
Category : Mathematics
Languages : en
Pages : 190
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Book Description
Offering a concise account of the most appropriate and efficient procedures for analyzing data from queries dealing with sensitive and confidential issues- including the first book-length treatment of infinite and finite population set-ups - this volume begins with the simplest problems, complete with their properties and solutions, and proceeds to incrementally more difficult topics. Randomized Response is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas.
Author: Arijit Chaudhuri
Publisher: CRC Press
ISBN: 1439836582
Category : Mathematics
Languages : en
Pages : 223
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Book Description
For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect Questioning Techniques in Surveys describes the current s
Author: James Alan Fox
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Social Science
Languages : en
Pages : 86
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Book Description
Randomized Response describes an innovative survey technique designed to overcome the difficulties associated with sensitive or embarrassing questions. It shows how the randomized response method can protect survey respondents and minimize bias. It also shows how the technique can estimate parameters of both qualitative and quantitative measures, test subgroup differences, and perform bivariate and multivariate analyses.
Author: Arijit Chaudhuri
Publisher: Routledge
ISBN: 1351419846
Category : Mathematics
Languages : en
Pages : 183
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Book Description
Offering a concise account of the most appropriate and efficient procedures for analyzing data from queries dealing with sensitive and confidential issues- including the first book-length treatment of infinite and finite population set-ups - this volume begins with the simplest problems, complete with their properties and solutions, and proceeds to incrementally more difficult topics. Randomized Response is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas.
Author: Anthony C Atkinson
Publisher: CRC Press
ISBN: 1584886935
Category : Mathematics
Languages : en
Pages : 341
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Book Description
Randomised Response-Adaptive Designs in Clinical Trials presents methods for the randomised allocation of treatments to patients in sequential clinical trials. Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians, and statisticians in training. After introducing clinical trials in drug development, the authors assess a simple adaptive design for binary responses without covariates. They discuss randomisation and covariate balance in normally distributed responses and cover many important response-adaptive designs for binary responses. The book then develops response-adaptive designs for continuous and longitudinal responses, optimum designs with covariates, and response-adaptive designs with covariates. It also covers response-adaptive designs that are derived by optimising an objective function subject to constraints on the variance of estimated parametric functions. The concluding chapter explores future directions in the development of adaptive designs.
Author: James Alan Fox
Publisher: SAGE Publications
ISBN: 1483381021
Category : Social Science
Languages : en
Pages : 145
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Book Description
Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition of James Alan Fox’s Randomized Response and Related Methods significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.
Author: Feifang Hu
Publisher: John Wiley & Sons
ISBN: 0470055871
Category : Mathematics
Languages : en
Pages : 234
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Book Description
Presents a firm mathematical basis for the use of response-adaptive randomization procedures in practice The Theory of Response-Adaptive Randomization in Clinical Trials is the result of the authors' ten-year collaboration as well as their collaborations with other researchers in investigating the important questions regarding response-adaptive randomization in a rigorous mathematical framework. Response-adaptive allocation has a long history in biostatistics literature; however, largely due to the disastrous ECMO trial in the early 1980s, there is a general reluctance to use these procedures. This timely book represents a mathematically rigorous subdiscipline of experimental design involving randomization and answers fundamental questions, including: How does response-adaptive randomization affect power? Can standard inferential tests be applied following response-adaptive randomization? What is the effect of delayed response? Which procedure is most appropriate and how can "most appropriate" be quantified? How can heterogeneity of the patient population be incorporated? Can response-adaptive randomization be performed with more than two treatments or with continuous responses? The answers to these questions communicate a thorough understanding of the asymptotic properties of each procedure discussed, including asymptotic normality, consistency, and asymptotic variance of the induced allocation. Topical coverage includes: The relationship between power and response-adaptive randomization The general result for determining asymptotically best procedures Procedures based on urn models Procedures based on sequential estimation Implications for the practice of clinical trials Useful for graduate students in mathematics, statistics, and biostatistics as well as researchers and industrial and academic biostatisticians, this book offers a rigorous treatment of the subject in order to find the optimal procedure to use in practice.
Author: Arijit Chaudhuri
Publisher: Springer Nature
ISBN: 9819996694
Category :
Languages : en
Pages : 199
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Book Description
Author: Guo-Liang Tian
Publisher: CRC Press
ISBN: 143985534X
Category : Mathematics
Languages : en
Pages : 316
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Book Description
Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially inaccurate data. Addressing this difficulty, non-rando
