Results 301 to 310 of about 378,886 (332)
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Robust Methods in Biostatistics

2009
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers.
Stephane Heritier   +3 more
openaire   +2 more sources

Clinical biostatistics: LIV. The biostatistics of concordance

Clinical Pharmacology and Therapeutics, 1981
Michael S Kramer   +3 more
openaire   +3 more sources

The training of biostatistical scientists

Statistics in Medicine, 2003
This concluding session has the ambitious title of Biostatistical Training in the 21st Century. The Biomedical Sciences are changing so rapidly that it would be foolhardy for us to project training needs very much in the future. I am certain that if the biometricians and statisticians contemplating training needs at the turn of the 20th century were ...
openaire   +3 more sources

Tutorial in biostatistics: competing risks and multi‐state models

Statistics in Medicine, 2007
H. Putter, M. Fiocco, Ronald B Geskus
semanticscholar   +1 more source

Basics of Biostatistics

2016
Statistical knowledge is at the basis of understanding and reporting the results of scientific research. Basic concepts of probability are the first building blocks for most of the statistical concepts. Conditional probability, at the basis of Bayesian statistics, is becoming popular among researchers and usually opposed to the most commonly used ...
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Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health

, 2020
Dorothea Wild Md Mph Dr. Med   +1 more
semanticscholar   +1 more source

Basic and Clinical Biostatistics

, 1993
B. Dawson-Saunders, R. Trapp
semanticscholar   +1 more source

Biostatistics

JAMA: The Journal of the American Medical Association, 1972
openaire   +2 more sources

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