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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application

Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application

Yi, Grace Y.

Hardcover

Series: Springer Statistics

Medical ReferenceGeneral ScienceProbability & Statistics

ISBN10: 1493966383
ISBN13: 9781493966387
Publisher: Springer
Published: Aug 3 2017
Pages: 479
Weight: 1.95
Height: 1.13 Width: 6.14 Depth: 9.21
Language: English
This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems.

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