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|a Robust methods in biostatistics /
|c Stephane Heritier [and others].
|
264 |
|
1 |
|a Chichester, U.K. ;
|a Hoboken :
|b J. Wiley,
|c 2009.
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300 |
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|a 1 online resource (xiv, 268 pages) :
|b illustrations
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|a Includes bibliographical references (pages 249-264) and index.
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|a Key measures and results -- Linear regression -- Mixed linear models -- Generalized linear models -- Marginal longitudinal data analysis -- Survival analysis.
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520 |
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|a Regulatory bodies and medical journals regularly raise their standards in terms of the quality of statistical analyses presented, wanting to ensure statistical methods are not misused leading to wrong conclusions. Following this trend there is a growing need for robust statistics in medical research. Robust statistics is an extension of classical statistics that specifically takes into account that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable withy respect to changes in the data or model departures.
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546 |
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|a English.
|
590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Biometry
|x Statistical methods.
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650 |
|
0 |
|a Biomathematics.
|
650 |
1 |
2 |
|a Biometry
|x methods
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650 |
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6 |
|a Biométrie
|x Méthodes statistiques.
|
650 |
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6 |
|a Biomathématiques.
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650 |
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7 |
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|2 bisacsh
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650 |
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7 |
|a SCIENCE
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|x General.
|2 bisacsh
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650 |
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|a SCIENCE
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|x Biology.
|2 bisacsh
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650 |
|
7 |
|a Biomathematics
|2 fast
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650 |
|
7 |
|a Biometry
|x Statistical methods
|2 fast
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650 |
|
7 |
|a Biostatistik
|2 gnd
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700 |
1 |
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|a Heritier, Stephane.
|
758 |
|
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|i has work:
|a Robust methods in biostatistics (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGdk7QtfdBVQF8bqdmK9Tb
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|t Robust methods in biostatistics.
|d Chichester, U.K. : J. Wiley, 2009
|z 9780470027264
|w (DLC) 2009008863
|w (OCoLC)246887359
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