BIOMAT Database Logo BIOMAT Database Logo

[Optimal strategies for lot studies]. 1995

J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Departamento de Microbiología, Facultad de Medicina, Universidad de Valladolid.

UI MeSH Term Description Entries
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015995 Prevalence The total number of cases of a given disease in a specified population at a designated time. It is differentiated from INCIDENCE, which refers to the number of new cases in the population at a given time. Period Prevalence,Point Prevalence,Period Prevalences,Point Prevalences,Prevalence, Period,Prevalence, Point,Prevalences
D016036 Seroepidemiologic Studies EPIDEMIOLOGIC STUDIES based on the detection through serological testing of characteristic change in the serum level of specific ANTIBODIES. Latent subclinical infections and carrier states can thus be detected in addition to clinically overt cases. Seroprevalence,Seroepidemiologic Study,Seroepidemiological Study,Studies, Seroepidemiologic,Study, Seroepidemiologic,Seroepidemiological Studies,Seroprevalences,Studies, Seroepidemiological,Study, Seroepidemiological
D018401 Sample Size The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95) Sample Sizes,Size, Sample,Sizes, Sample

Related Publications

J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Optimal sampling strategies for two-stage studies.
January 1996, American journal of epidemiology,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Optimal design strategies for sibling studies with binary exposures.
January 2014, The international journal of biostatistics,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Developing optimal search strategies for retrieving qualitative studies in PsycINFO.
December 2006, Evaluation & the health professions,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Optimal search strategies for detecting health services research studies in MEDLINE.
November 2004, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Developing optimal search strategies for detecting clinically sound studies in MEDLINE.
January 1994, Journal of the American Medical Informatics Association : JAMIA,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Optimal CINAHL search strategies for identifying therapy studies and review articles.
January 2006, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Optimal search strategies for detecting cost and economic studies in EMBASE.
June 2006, BMC health services research,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Optimal search strategies for identifying sound clinical prediction studies in EMBASE.
April 2005, BMC medical informatics and decision making,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
[The OPTIMAL trial on tranexamic acid in cardiac surgery-Does a lot help a lot?]
December 2022, Die Anaesthesiologie,
J F Martín, and J M Eiros, and A Orduña, and O de Lejarazu, and A Almaraz, and A Rodríguez-Torres
Developing optimal search strategies for detecting clinically sound causation studies in MEDLINE.
January 2003, AMIA ... Annual Symposium proceedings. AMIA Symposium,
Copied contents to your clipboard!