Results 11 to 20 of about 1,876,667 (278)
Mathematics, 2023 We investigate the association of a sensitive characteristic or latent variable with observed binary random variables by the randomized response (RR) technique of Warner in his publication (Warner, S.L. J. Am. Stat.
Shen-Ming Lee +3 more
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Precision oncology: the intention-to-treat analysis fallacy. [PDF]
, 2020 It has recently been suggested that precision oncology studies should be reanalysed using the intention-to-treat (ITT) methodology developed for randomized controlled clinical trials.
Kato, Shumei +3 more
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Mathematics, 2023 The randomized response technique is one of the most commonly used indirect questioning methods to collect data on sensitive characteristics in survey research covering a wide variety of statistical applications including, e.g., behavioral science, socio-
Truong-Nhat Le +3 more
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Synthesized randomized response techniques
Scientific African, 2023 Reducing response bias in survey research is important in ensuring that the data collected accurately represents the population of interest. This study proposes the synthesized random response technique (SRRT) estimator as an efficient method to reduce ...
Isaac O. Adeniyi, Olusegun S. Ewemooje
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The Role of Randomness and Noise in Strategic Classification [PDF]
, 2020 We investigate the problem of designing optimal classifiers in the strategic classification setting, where the classification is part of a game in which players can modify their features to attain a favorable classification outcome (while incurring some ...
Braverman, Mark, Garg, Sumegha
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RRreg: An R Package for Correlation and Regression Analyses of Randomized Response Data
Journal of Statistical Software, 2018 The randomized response (RR) technique was developed to improve the validity of measures assessing attitudes, behaviors, and attributes threatened by social desirability bias.
Daniel W. Heck, Morten Moshagen
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Beating Randomized Response on Incoherent Matrices [PDF]
, 2011 Computing accurate low rank approximations of large matrices is a fundamental data mining task. In many applications however the matrix contains sensitive information about individuals.
Hardt, Moritz, Roth, Aaron
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Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models
Methodology, 2023 In social surveys on sensitive characteristics, optional randomized response models give the respondents the option to either report the true response or report the scrambled response.
Muhammad Azeem, Abdul Salam
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Differential Private Data Collection and Analysis Based on Randomized Multiple Dummies for Untrusted Mobile Crowdsensing [PDF]
, 2017 Mobile crowdsensing, which collects environmental information from mobile phone users, is growing in popularity. These data can be used by companies for marketing surveys or decision making.
Akihiko Ohsuga, Yuichi Sei
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A randomized clinical trial comparing family-focused treatment and individual supportive therapy for depression in childhood and early adolescence [PDF]
, 2017 OBJECTIVE: Despite the morbidity and negative outcomes associated with early-onset depression, few studies have examined the efficacy of psychosocial treatment for depressive disorders during childhood.
Asarnow, Joan R. +3 more
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