CHAPTER X: Recurrent infarction during the observation period. Statistical analysis of the incidence of recurrence

2009 ◽  
Vol 158 (S330) ◽  
pp. 120-138
Keyword(s):  
Statistical Analysis ◽  
Recurrent Infarction ◽  
Observation Period

Cardiac Sequelae of Kawasaki Disease in Japan: Statistical Analysis

PEDIATRICS ◽  
1991 ◽  
Vol 88 (6) ◽  
pp. 1144-1147
Author(s):  
Yosikazu Nakamura ◽  
Yasuyuki Fujita ◽  
Masaki Nagai ◽  
Hiroshi Yanagawa ◽  
Yoshio Imada ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Statistical Analysis ◽  
Kawasaki Disease ◽  
Survey Data ◽  
Coronary Arteries ◽  
Gamma Globulin ◽  
Nationwide Survey ◽  
Intravenous Gamma Globulin ◽  
Low Incidence ◽  
Observation Period

The proportions of Kawasaki disease patients with cardiac sequelae in Japan were analyzed using nationwide survey data from the 6½-year period July 1982 through December 1988. Of 46 864 cases of Kawasaki disease reported in the surveys, 7637 or 16.3% had cardiac sequelae such as dilation or stenosis of coronary arteries, myocardial infarction, and valvar lesions 1 month on more after onset. The prevalence of cardiac sequelae was particularly high in males, infants younger than 1 year, and children older than 5 years of age. In sequential observation, there was no correlation between the prevalence of cardiac sequelae and periods of high or low incidence of the disease. The prevalence of cardiac sequelae overall declined steadily over the observation period, perhaps as a consequence of increasing use of intravenous gamma globulin. However, children older than the age of 5 years manifested increasing prevalence of cardiac sequelae over the observation period, probably as a result of lower rates of intravenous gamma globulin administration.

scholarly journals Features of the structure of adult disability due to hypertension

2020 ◽  
Vol 23 (2) ◽  
pp. 46-51
Author(s):  
Roza Odebaeva ◽  
Evgeniy E. Achkasov ◽  
Marina А. Shurgaya
Keyword(s):  
Statistical Analysis ◽  
Russian Federation ◽  
Total Population ◽  
Adult Population ◽  
Functional Disorders ◽  
Disabled People ◽  
Life Activity ◽  
Essential Arterial Hypertension ◽  
The Russian Federation ◽  
Observation Period

A retrospective statistical analysis of primary, repeated and General disability of the adult population in Moscow and in the Russian Federation was carried out. The observation period 20112017. Scope of the study: 31 373 disabled people (primary 11 069 and repeated 20 304), recognized as disabled due to hypertension during examination in the BMSE. The analysis of the dynamics of disability due to all classes of diseases in the Russian Federation is carried out. The total population was 324 832 people (90 808 primary and 234 024 repeated), who were recognized as disabled due to hypertension during examination in the BMSE. The observation period 20112017. The features of clinical and functional disorders and limitations of life activity in disabled people due to essential arterial hypertension (hypertension) were studied. A sample study was conducted in a cohort of disabled people (271 people due to hypertension).

scholarly journals Optical microvariability of bright type 2 quasars

2013 ◽  
Vol 9 (S304) ◽  
pp. 403-406
Author(s):  
Jana Polednikova ◽  
Alessandro Ederoclite ◽  
Jordi Cepa ◽  
José Antonio de Diego Onsurbe ◽  
José Ignacio González-Serrano
Keyword(s):  
Statistical Analysis ◽  
Standard Model ◽  
Statistical Test ◽  
Light Curves ◽  
The Past ◽  
San Pedro ◽  
Comparison Stars ◽  
Observation Period

AbstractWe present results from a project focused on searching optical microvariabilty (also known as “intra-night” variability) in type 2 - obscured - quasars. Optical microvariability can be described as very small changes in the flux, typically in the order of hundredths of magnitude, which can be observed on timescales of hours. Such studies have been so far conducted for samples of blazars and type 1, unobscured, AGNs, where the optical microvariability was detected with success. We have focused on obscured targets which would pose a challenge to the AGN standard model. In the present work, however, we have observed a sample of three bright (g mag < 17) type 2 quasar, based on the catalog of type 2 quasars from SDSS of Reyes et al. (2008). The observations were carried out with the 1.5 meter telescope at San Pedro Martir observatory in Mexico. The sample was observed during an observation period of four days in Johnsons V filter, resulting in at least two continuous intervals of observations per target during the observational run. We have obtained differential light curves for our sources as well as for the comparison stars. They were analyzed using one-way analysis of variance statistical test (ANOVA), which has been repeatedly used in the past for studies of unobscured targets. Based on the results from the statistical analysis, we show that at least two out of three observed targets appear to be variable on time scales of hours. So far, this is the first study which confirmed existence of optical microvariability in type 2 quasars.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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