UID:
almahu_9948197246002882
Format:
1 online resource (xiv, 268 pages) :
,
illustrations
ISBN:
9780470740545
,
047074054X
,
9780470740538
,
0470740531
Content:
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.
Note:
Key measures and results -- Linear regression -- Mixed linear models -- Generalized linear models -- Marginal longitudinal data analysis -- Survival analysis.
Additional Edition:
Print version: Robust methods in biostatistics. Chichester, U.K. : J. Wiley, 2009 ISBN 9780470027264
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470740538
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470740538
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470740538
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470740538