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both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian;
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across organizations Effects of misclassification on estimation, analysis, and interpretation--misclassification and other measurement errors;
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Measurement and Evaluation in Human Performance, Third Edition, offers unmatched, in-depth instruction in measurement and evaluation;
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Providing a general survey of the theory of measurement error models, including the functional, structural, and ultrastructural models;
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This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part;
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This 5-volume reference covers the entire field of epidemiology, from statistical methods and study design, to specialized areas such as;
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Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical;
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introduces students to statistical epidemiology methods in a carefully structured and accessible format. With clearly defined learning outcomes, the;
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introduces students to statistical epidemiology methods in a carefully structured and accessible format. With clearly defined learning outcomes, the;
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measurement of net coverage error. For the 2010 census coverage measurement program, the Census Bureau will deemphasize that goal, and is instead;
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of epidemiologic designs in research conduct. Design transcends statistical techniques, and no matter how sophisticated a statistical modeling, errors;
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The conference, 'Measurement Error: Econometrics and Practice' was recently hosted by Aston University and organised jointly by researchers;
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. missing data), measurement error, and sampling variability. The goal of the book is to promote statistical reasoning about statistics.;
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. missing data), measurement error, and sampling variability. The goal of the book is to promote statistical reasoning about statistics.;
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method for conducting good survey research centered on the various types of errors that can occur in surveys - from measurement and nonresponse;
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Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;
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Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;
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research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error;
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valuable, Measurement Error and Research Design is motivated by the lack of literature that enhances understanding of measurement error, its;
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Measuring and Analyzing Behavior in Organizations brings together the latest advances in measurement and data analysis, providing;
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It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field;
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be explained throughout this book, knowing the statistics of measurement error for test equipment will allow us to know and improve test;
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efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and;
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spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It;
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spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It;
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Classical designs and causal inference, measurement error, power, and small-sample inference Designs that use full-cohort;
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and causal inference, measurement error, power, and small-sample inference Designs that use full-cohort information Time-to;
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