SYMPTOMS, SIGNS AND STATISTICS. STATISTICS APPLIED TO THE HEALTH AND LIFE SCIENCES

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Autore principale: Miguel A. Martínez-Beneito
Natura: Artículo científico
Lingua:en
Pubblicazione: Universitat de València 2015
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author Miguel A. Martínez-Beneito
author_facet Miguel A. Martínez-Beneito
contents SYMPTOMS, SIGNS AND STATISTICS. STATISTICS APPLIED TO THE HEALTH AND LIFE SCIENCES Miguel A. Martínez-Beneito José D. Bermúdez Carmen Armero Comunicación survival epidemiology Biostatistics clinical trials health and life sci ences Experimental determination or detection of the physiological mechanisms underlying disease is by and large a highly complex task. This fact has turned epidemiology into the main tool for generating knowledge in the medical fi eld. Epidemiology studies diseases by monitoring the health of groups of people, rather than through individual observations. If the primary tool for generating medical knowledge is based on the observation of groups of people (population samples) from which we wish to learn (make inferences), then the link between statistics and medicine is clear. Here we illustrate this nexus presenting three statistical research areas that are particularly valuable for biomedical research. 2015 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511751360021 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.5
format Artículo científico
id redalyc_511751360021
institution Redalyc
language en
publishDate 2015
publisher Universitat de València
spellingShingle SYMPTOMS, SIGNS AND STATISTICS. STATISTICS APPLIED TO THE HEALTH AND LIFE SCIENCES
Miguel A. Martínez-Beneito
Comunicación
survival
epidemiology
Biostatistics
clinical trials
health and life sci ences
SYMPTOMS, SIGNS AND STATISTICS. STATISTICS APPLIED TO THE HEALTH AND LIFE SCIENCES Miguel A. Martínez-Beneito José D. Bermúdez Carmen Armero Comunicación survival epidemiology Biostatistics clinical trials health and life sci ences Experimental determination or detection of the physiological mechanisms underlying disease is by and large a highly complex task. This fact has turned epidemiology into the main tool for generating knowledge in the medical fi eld. Epidemiology studies diseases by monitoring the health of groups of people, rather than through individual observations. If the primary tool for generating medical knowledge is based on the observation of groups of people (population samples) from which we wish to learn (make inferences), then the link between statistics and medicine is clear. Here we illustrate this nexus presenting three statistical research areas that are particularly valuable for biomedical research. 2015 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511751360021 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.5
title SYMPTOMS, SIGNS AND STATISTICS. STATISTICS APPLIED TO THE HEALTH AND LIFE SCIENCES
topic Comunicación
survival
epidemiology
Biostatistics
clinical trials
health and life sci ences
url https://www.redalyc.org/articulo.oa?id=511751360021