[Measuring hospital infection].
Explore the source record for details and available documents.
Cross Infection↗
Biomedical subjects
M Sillero Arenas
Publications and source records attributed to M Sillero Arenas.
[Prevalence of mental subnormality recorded in the province of Jaen].
It is done a cross-sectional study of the prevalence of mental retardation in the province of Jaén (Spain), based on the cumulated cases reported to the Institute of Social Services of the Social Security (INSERSO) until January 1, 1984. The main objective of this research is to know the prevalence of mental retardation in our province, and to analize its relationship with some sociodemographic variables. The prevalence obtained has been 4.09%, being a 59.27% of the prevalence due to endogenous/unexplained etiology. Mild subnormality constitutes a 8.4% of cases, being closely related with the size of the locality (municipio). Prevalence of mental subnormality showed a significative linear association with the size of the locality (r = -0.904, p less than 0.05), and with the population growth (r = -0.929, p less than 0.01). This relationship was not observed neither with the level of per capita income nor the altitude of the locality. A multiple regression analysis is made for every etiology of mental retardation and several social and geographic variables. We conclude that the figures for mental retardation in our province show a direct relationship with local development parameters.
Cross-Sectional Studies↗
[Oral contraceptives and breast cancer: analysis of the statistical power of the association].
The power of the association between oral contraceptives and breast cancer was analysed in all the papers published up to date. Seventy-seven publications (from 44 studies) were collected and graded as to quality using meta-analytical methods. Power achieved a figure of greater than or equal to 0.8 in a 10.8% of the associations studied. It showed a significant relationship with the existence of a significant relative risk of the oral contraceptives for breast cancer. The relationship with the sample size of a study was not linear. Power did not show any significant relationship to other variables related to the design of a study (apart from matching, being the power higher in unmatched studies), or to the biases detected, although studies considered as unbiased yielded a higher power. Logistic regression analysis included as predictors of a power greater than or equal to 0.80 the existence of a significant relative risk and the lack of biases in a research.
Analysis of Variance↗
[Meta-analysis in epidemiology (1): the general characteristics].
In the present work the general characteristics, aims and applications of meta-analysis in public health are described. The general rules and the relevant steps for the development of this type of studies are considered. These points are illustrated with a number of real examples and the advantages and limitations of the different methodological options are commented.
Epidemiologic Methods↗
[Meta-analysis in epidemiology (2): quantitative methods].
The main goal of this paper is to offer an introduction to the quantitative methods of meta-analysis used in epidemiology/public health, emphasizing on the most widespread used. We give also a brief reference of the methods to recognize publication bias. The limitations and advantages of the methods commented on are discussed.
Bias↗
[Oral contraceptives and cancer of the cervix uteri. Analysis of the strength of the association].
The power of the association between oral contraceptives and cervical cancer was analysed in all the papers published up to date. Fifty-three publications (from 48 studies) wer collected and graded as to quality using meta-analytical methods. Power achieved a figure of greater than or equal to 0.8 in a 24% of the associations studied. It showed a significant relationship with the existence of a significant relative risk of the oral contraceptives for cervical cancer, with the quotient between sample sizes of reference and index groups, and with the sample size of a study, although the relationship was not linear to these two latter variables. Power did not show any significant relationship to other variables related to the design of a study, or to the biases detected. Logistic regression analysis included as predictors of a power greater than or equal to 0,80 the existence of a significant relative risk and the use of adjusted relative risk.
Carcinoma↗