Measurement Error and Misclassification in Statistics and Epidemiology
Paul. Gustafson
Bok Engelsk 2003 · Electronic books.
| Annen tittel | |
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| Utgitt | Hoboken : : Taylor and Francis, , 2003.
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| Omfang | 1 online resource (213 p.)
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| Opplysninger | Description based upon print version of record.. - Book Cover; Half-Title; Series Title; Title; Copyright; Dedication; Contents; Preface; Guide to Notation; 1 Introduction; 2 The Impact of Mismeasured Continuous Variables; 3 The Impact of Mismeasured Categorical Variables; 4 Adjusting for Mismeasured Continuous Variables; 5 Adjusting for Mismeasured Categorical Variables; 6 Further Topics; Appendix; References; Index. - Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments examines the consequences and Bayesian remedies in those cases where the explanatory variable cannot be measured with precision.The author explores both measurement er
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| Emner | Bayesian statistical decision theory
Error analysis (Mathematics) Sequential analysis Analytical, Diagnostic and Therapeutic Techniques and Equipment Vis mer... Bayes Theorem
Bias (Epidemiology) Environment and Public Health Epidemiologic Factors Epidemiologic Measurements Epidemiologic Methods Health Care Health Care Evaluation Mechanisms Health Care Quality, Access, and Evaluation Investigative Techniques Probability Public Health Quality of Health Care Statistics as Topic Instrumental variables (Statistics). Mathematical Statistics Mathematics Physical Sciences & Mathematics |
| Sjanger | |
| Dewey | |
| ISBN | 1584883359
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