Studying the influence of a secondary variable in Collocated Cokriging estimates

In this paper the influence of a secondary variable as a function of the correlation with the primary variable for collocated cokriging is examined. For this study five exhaustive data sets were generated in computer, from which samples with 60 and 104 data points were drawn using the stratified random sampling method. These exhaustive data sets were generated departing from a pair of primary and secondary variables showing a good correlation. Then successive sets were generated by adding an amount of white noise in such a way that the correlation gets poorer. Using these samples, it was possible to find out how primary and secondary information is used to estimate an unsampled location according to the correlation level.

Design-based random permutation models with auxiliary information

We extend the random permutation model to obtain the best linear unbiased estimator of a finite population mean accounting for auxiliary variables under simple random sampling without replacement (SRS) or stratified SRS. The proposed method provides a systematic design-based justification for well-known results involving common estimators derived under minimal assumptions that do not require specification of a functional relationship between the response and the auxiliary variables.

Prevalence of asthma and risk factors associated: population based study in Sao Paulo, Southeastern Brazil, 2008-2009

OBJECTIVE: To assess the prevalence of asthma and risk factors associated in children and adolescents. METHODS: Population-based cross-sectional study with 1,185 female and male children and adolescents carried out in the city of Sao Paulo, Southeastern Brazil, from 2008 to 2009. Data were collected through home interviews. Respondents were selected from two-stage (census tract, household) cluster random sampling stratified by gender and age. Multiple Poisson regression was used in the adjusted analysis between the outcome and socioeconomic, demographic, lifestyle and health condition variables. RESULTS: Of all respondents, 9.1% (95%CI 7.0; 11.7) reported asthma. After adjustment, the following variables were found independently associated with asthma: age (0 to 4 years vs. 15 to 19) (PR 3.18, 95%CI 1.20;8.42); age (5 to 9 years vs. 15 to 19) (PR 6.37, 95%CI 2.64;15.39); age (10 to 14 years vs. 15 to 19) (PR 4.51,95%CI 1.95;10.40); allergy (yes vs. no) (PR 2.22, 95%CI 1.24;4.00); rhinitis (yes vs. no) (PR 2.13, 95%CI 1.22;3.73); health conditions in the 15 days preceding the interview (yes vs. no) (PR 1.96, 95%CI 1.23;3.11); number of rooms in the household (1 to 3 vs. 4 and more) (PR 1.67, 95%CI 1.05;2.66); and skin color (black and mixed vs. white) (PR 2.00, 95%CI 1.14;3.49). CONCLUSIONS: This study showed the importance of factors associated with asthma including rhinitis and allergy; age between 5 to 9 years old; black and mixed skin color; and household with few rooms. Frequent health problems are seen as a common consequence of asthma.

Survey of Trachoma within School Students in the State of Roraima, Brazil

Purpose: Trachoma, a blinding conjunctivitis, is the result of repeated infection with Chlamydia trachomatis. There are no recent data for the state of Roraima, Brazil, where it was thought that trachoma no longer existed. These data are derived from school children sampled in this state, with additional data collected from the contacts of children with trachoma. Design: A population-based cross-sectional study with random sampling of students in grades 1 through 4 of all public schools within municipalities where the human development index was less than the national average in 2003. The sample was stratified according to population size. Participants: A sample size of 7200 was determined and a total of 6986 (93%) students were examined, along with an additional 2152 contacts. Methods: All students were examined for trachoma according to World Health Organization criteria. Demographic data and contact information also was collected. The family and school contacts of students with trachoma then were located and examined. Main Outcome Measures: Prevalence and grade of trachoma, age, gender, race, and municipality location. Results: The overall prevalence of trachoma was 4.5% (95% confidence interval [CI], 3.7%–5.3%), but there were municipalities within the state where the prevalence of inflammatory trachoma was more than 10%. The prevalence was greater in rural areas (4.9%; 95% CI, 3.7%–6.0%) compared with urban areas (3.9%; 95% CI, 2.9%–4.9%). Living in indigenous communities was associated with trachoma (odds ratio, 1.6; 95% CI, 0.9 –2.6). An additional 2152 contacts were examined, and the overall trachoma prevalence was 9.3% (95% CI, 8.1–10.5). Conclusions: Trachoma continues to exist in Roraima, Brazil, where there are municipalities with a significant prevalence of disease. The indigenous population is highly mobile, crossing state and international borders, raising the possibility of trachoma in neighboring countries. Trachoma prevalence among the contacts of students with trachoma was higher than the school population, highlighting the importance of contact tracing.

Anemia prevalence and its determinants in Brazilian institutionalized elderly

Objective: To estimate the prevalence of anemia and analyze the factors associated with anemia in elderly residents of long-term care institutions. Methods: This cross-sectional study was performed in male and female elderly volunteers selected in a two-stage random sampling from long-term care institutions in the city of Maringa, Brazil (2008). A diagnosis of anemia was based on the plasma hemoglobin concentration. The independent variables analyzed were gender, age, time of residence at an institution, body mass index, and serum iron and albumin concentrations. The association between anemia and the variables was assessed using the Poisson regression with robust variance in unadjusted and adjusted analyses, considering a complex sample and a significance level of 5%. Results: The sample included 124 adults older than 60 y residing in long-term care institutions (53.0% female). The prevalence of anemia was 29% and was not significantly associated with gender, serum iron concentration, time of residence at an institution, or body mass index. Conversely, hypoalbuminemia was considered a risk factor for anemia. Conclusion: There is a high prevalence of anemia in the institutionalized elderly and hypoalbuminemia is a factor associated with this outcome. Interventions are necessary to promote improvements in the health and welfare of this population. (C) 2012 Published by Elsevier Inc.

Prediction with measurement errors in finite populations

We address the problem of selecting the best linear unbiased predictor (BLUP) of the latent value (e.g., serum glucose fasting level) of sample subjects with heteroskedastic measurement errors. Using a simple example, we compare the usual mixed model BLUP to a similar predictor based on a mixed model framed in a finite population (FPMM) setup with two sources of variability, the first of which corresponds to simple random sampling and the second, to heteroskedastic measurement errors. Under this last approach, we show that when measurement errors are subject-specific, the BLUP shrinkage constants are based on a pooled measurement error variance as opposed to the individual ones generally considered for the usual mixed model BLUP. In contrast, when the heteroskedastic measurement errors are measurement condition-specific, the FPMM BLUP involves different shrinkage constants. We also show that in this setup, when measurement errors are subject-specific, the usual mixed model predictor is biased but has a smaller mean squared error than the FPMM BLUP which points to some difficulties in the interpretation of such predictors. (C) 2011 Elsevier By. All rights reserved.