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Statistical Estimation

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Epidemiology: Principles and Practical Guidelines

Abstract

This first chapter on study analysis covers statistical estimation methods that are frequently made use of in epidemiological research. It does so at an introductory level only. In the first section we explain important concepts related to statistical estimation: we distinguish estimators from estimates, and we contrast (1) point vs. interval estimates and (2) crude vs. adjusted estimates. In the ensuing sections, we discuss the estimation of outcome frequency in a single group and des­criptive comparisons of outcome frequencies in multiple groups. Standardization of estimates falls within that context but is dealt with in a separate section. Finally, estimation of outcome parameters in analytical studies is covered, with special attention to strategies for controlling confounding during analysis.

Often, even the most accurate data are only used to make educated guesses.

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The online version of the book can be found at http://dx.doi.org/10.1007/978-94-007-5989-3

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-94-007-5989-3_32

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Correspondence to Jan Van den Broeck M.D., Ph.D. .

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Van den Broeck, J., Brestoff, J.R., Kaulfuss, C. (2013). Statistical Estimation. In: Van den Broeck, J., Brestoff, J. (eds) Epidemiology: Principles and Practical Guidelines. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5989-3_22

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  • DOI: https://doi.org/10.1007/978-94-007-5989-3_22

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5988-6

  • Online ISBN: 978-94-007-5989-3

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