Geostatistical determination of heavy-metal distribution in a contaminated site - A case study

A two stage sampling strategy is necessary in order to optimize the study of distribution of pollution in soils and groundwater. First, detailed sampling from a limited area coupled with statistical analysis of the data are used to determine the microvariability of the parameter(s). The results from this detailed analysis are then used to calculate the optimal spacing between samples for the larger scale study. This two stage sampling strategy can result in significant financial savings during subsequent soil or groundwater remediation. This combined sampling and statistical analysis approach is illustrated with an example from a heavy metal contaminated site.

Asthma during Pregnancy

L’asthme est connu comme l’une des maladies chroniques les plus fréquentes chez la femme enceinte avec une prévalence de 4 à 8%. La prévalence élevée de l’asthme fait en sorte qu’on se préoccupe de l’impact de la grossesse sur l’asthme et de l’impact de l’asthme sur les issus de la grossesse. La littérature présente des résultats conflictuels concernant l’impact de l’asthme maternel sur les issus périnatales comme les naissances prématurées, les bébés de petit poids et les bébés de petit poids pour l’âge gestationnel (PPGA). De plus, les données scientifiques sont rares concernant l’impact de la sévérité et de la maîtrise de l’asthme durant la grossesse sur les issus périnatales. Donc, nous avons mené cinq études pour réaliser les objectifs suivants: 1. Le développement et la validation de deux indexes pour mesurer la sévérité et la maîtrise de l’asthme. 2. L’évaluation de l’impact du sexe du fœtus sur le risque d’exacerbation de l’asthme maternel et l’utilisation de médicaments antiasthmatiques durant la grossesse; 3. L’évaluation de l’impact de l’asthme maternel sur les issus périnatales; 4. L’évaluation de l’impact de la sévérité de l’asthme maternel durant la grossesse sur les issus périnatales; 5. L’évaluation de l’impact de la maîtrise de l’asthme maternel durant la grossesse sur les issus périnatales. Pour réaliser ces projets de recherche, nous avons travaillé avec une large cohorte de grossesse reconstruite à partir du croisement de trois banques de données administratives du Québec recouvrant la période entre 1990 et 2002. Pour les trois dernières études, nous avons utilisé un devis de cohorte à deux phases d’échantillonnage pour obtenir, à l’aide d’un questionnaire postal, des informations complémentaires qui ne se trouvaient pas dans les banques de données, comme la consommation de cigarettes et d’alcool pendant la grossesse. Nous n’avons trouvé aucune différence significative entre les mères de fétus féminins et de fétus masculins pour les exacerbations de l’asthme pendant la grossesse (aRR=1.02; IC 95%: 0.92 to 1.14). Par contre, nous avons trouvé que le risque de bébé PPGA (OR: 1.27, IC 95%: 1.14-1.41), de bébé de petit poids (OR: 1.41, IC 95%:1.22-1.63) et de naissance prématurée (OR: 1.64, IC 95%:1.46-1.83) était significativement plus élevés chez les femmes asthmatiques que chez les femmes non asthmatiques. De plus, nous avons démontré que le risque d’un bébé PPAG était significativement plus élevé chez les femmes avec un asthme sévère (OR:1.48, IC 95%: 1.15-1.91) et modéré (OR: 1.30, IC 95%:1.10-1.55) que chez les femmes qui avaient un asthme léger. Nous avons aussi observé que les femmes qui avaient un asthme bien maîtrisé durant la grossesse étaient significativement plus à risque d’avoir un bébé PPAG (OR:1.28, IC 95%: 1.15-1.43), un bébé de petit poids (OR: 1.42, IC 95%:1.22-1.66), et un bébé prématuré (OR: 1.63, IC 95%:1.46-1.83) que les femmes non asthmatiques. D’après nos résultats, toutes les femmes asthmatiques même celles qui ont un asthme bien maîtrisé doivent être suivies de près durant la grossesse car elles courent un risque plus élevé d’avoir des issus de grossesses défavorables pour leur nouveau-né.

Le risque de mortalité périnatale associé à l’asthme et à l’utilisation de corticostéroïdes inhalés pendant la grossesse

L’asthme maternel complique environ 3,4% à 12,4% des grossesses dans les pays développés ce qui en fait une des maladies chroniques les plus fréquentes pouvant engendrer de sérieux problèmes médicaux chez la mère et le fœtus. D’autre part, un taux relativement important de femmes enceintes, soit 4 à 7%, utilisent des médicaments anti-asthmatiques. La mortinaissance, la mortalité néonatale et/ou la mortalité périnatale sont les issues de grossesses les plus dramatiques pour l’enfant et la famille. Toutefois, l’effet de l’asthme et de l’utilisation des corticostéroïdes inhalés (CSI) pendant la grossesse sur ces complications a été inadéquatement évalué. La majorité des études qui ont évalué ces associations souffraient d’un manque de puissance statistique et/ou d’une absence ou d’un ajustement inadéquat pour les variables potentiellement confondantes. Les travaux présentés dans cette thèse ont donc pour objectif d’évaluer le risque de mortalité périnatale chez les femmes asthmatiques comparativement aux femmes non- asthmatiques. Cette thèse vise également à évaluer si les femmes asthmatiques exposées aux CSI courent plus de risque de mortalité périnatale que les femmes asthmatiques non exposées et si le risque de mortalité périnatale varie en fonction de la dose quotidienne de CSI utilisée par la mère pendant la grossesse. À l’aide du croisement de trois bases de données administratives du Québec, une large cohorte de femmes asthmatiques et non-asthmatiques qui ont eu au moins une grossesse entre 1990 et 2002 a été construite (n=41 142). À partir de cette cohorte, deux cohortes de grossesses ont été constituées. Les deux premières études présentées dans cette thèse sont basées sur toute la cohorte alors que la dernière étude est basée uniquement sur les grossesses de femmes asthmatiques. Une étude de cohorte a d’abord été réalisée afin d’évaluer l’effet de l’asthme maternel sur le risque de mortalité périnatale permettant l’ajustement pour les variables provenant des bases de données administratives. Afin de mieux estimer le risque de mortalité périnatale chez les femmes asthmatiques une étude de cohorte comprenant deux phases d’échantillonnage a ensuite été réalisée à l’aide d’informations additionnelles sur le tabagisme, l’utilisation de drogue illicite et l’histoire de mortinaissances, colligées à partir du dossier médical de la mère. Finalement, le risque de mortalité périnatale chez les femmes asthmatiques qui ont utilisé des CSI pendant la grossesse et le risque de mortalité périnatale en fonction de la dose moyenne quotidienne de CSI consommée par la mère pendant la grossesse ont été investigués à l’aide d’une étude de cohorte à deux phases d’échantillonnage chez les femmes asthmatiques uniquement. Nous avons premièrement observé que l’asthme pendant la grossesse pourrait augmenter le risque de mortalité périnatale due à l’augmentation du risque de bébés de petits poids et de bébés prématurés chez les femmes asthmatiques (OR=1,30; IC 95%: 1,05-1,57). Toutefois, après avoir ajusté pour le tabagisme pendant la grossesse, le risque relatif de mortalité périnatale a diminué à 12% et l’association n’est pas demeurée statistiquement significative (OR= 1,12; IC 95%: 0,87-1,45). Finalement, l’utilisation de CSI pendant la grossesse, lorsque la dose n’a pas été considérée, n’a pas été associé à une augmentation significative du risque de mortalité périnatale (OR= 1,07; IC 95% : 0,70-1,61) et un effet protecteur non-significatif de l’utilisation de doses de CSI de 250 ug ou moins par jour a été observé (OR=0,89; IC 95%: 0,55 -1,44). Toutefois, les femmes qui ont pris des doses >250 ug/jour avaient un risque accru de mortalité périnatale de 52%, mais cette association n’était pas statistiquement significative (OR=1,52; IC 95%: 0,62-3,76). Cette augmentation du risque pourrait toutefois résulter d’un ajustement imparfait pour la sévérité et le contrôle de l’asthme (les femmes asthmatiques qui ont utlisé >250 ug/jour sont susceptibles d’avoir un asthme plus sévère ou inadéquatement maîtrisé). Les conclusions de nos travaux qui sont plutôt rassurantes pourront contribuer à une meilleure prise en charge des femmes enceintes asthmatiques, à aider les médecins dans la prescription de CSI pendant la grossesse et à rassurer les femmes enceintes souffrant d’asthme et les femmes enceintes qui doivent utiliser des CSI. Toutefois, des études supplémentaires sont nécessaires afin de pouvoir conclure que l’utilisation de doses plus élevées de CSI (>250 ug/jour) pendant la grossesse sont sécuritaires.

L'asthme de la mère, son niveau de contrôle et de sévérité pendant la grossesse et l'incidence d'asthme, de rhinite allergique et de dermatite atopique chez l'enfant

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

Predicting random effects with an expanded finite population mixed model

Prediction of random effects is an important problem with expanding applications. In the simplest context, the problem corresponds to prediction of the latent value (the mean) of a realized cluster selected via two-stage sampling. Recently, Stanek and Singer [Predicting random effects from finite population clustered samples with response error. J. Amer. Statist. Assoc. 99, 119-130] developed best linear unbiased predictors (BLUP) under a finite population mixed model that outperform BLUPs from mixed models and superpopulation models. Their setup, however, does not allow for unequally sized clusters. To overcome this drawback, we consider an expanded finite population mixed model based on a larger set of random variables that span a higher dimensional space than those typically applied to such problems. We show that BLUPs for linear combinations of the realized cluster means derived under such a model have considerably smaller mean squared error (MSE) than those obtained from mixed models, superpopulation models, and finite population mixed models. We motivate our general approach by an example developed for two-stage cluster sampling and show that it faithfully captures the stochastic aspects of sampling in the problem. We also consider simulation studies to illustrate the increased accuracy of the BLUP obtained under the expanded finite population mixed model. (C) 2007 Elsevier B.V. All rights reserved.

Diabetes auto-referido em idosos: prevalência, fatores associados e práticas de controle

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Synthetic control chart for monitoring the pprocess mean and variance

In this article, we consider the synthetic control chart with two-stage sampling (SyTS chart) to control the process mean and variance. During the first stage, one item of the sample is inspected; if its value X, is close to the target value of the process mean, then the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the statistic T = Sigma [x(i) - mu(0) + xi sigma(0)](2) is computed taking into account all items of the sample. The design parameter is function of X-1. When the statistic T is larger than a specified value, the sample is classified as nonconforming. According to the synthetic procedure, the signal is based on Conforming Run Length (CRL). The CRL is the number of samples taken from the process since the previous nonconforming sample until the occurrence of the next nonconforming sample. If the CRL is sufficiently small, then a signal is generated. A comparative study shows that the SyTS chart and the joint X and S charts with double sampling are very similar in performance. However, from the practical viewpoint, the SyTS chart is more convenient to administer than the joint charts.

Delays in childhood immunization in a conflict area: a study from Sierra Leone during civil war

ABSTRACT: BACKGROUND: Sierra Leone has undergone a decade of civil war from 1991 to 2001. From this period few data on immunization coverage are available, and conflict-related delays in immunization according to the Expanded Programme on Immunization (EPI) schedule have not been investigated. We aimed to study delays in childhood immunization in the context of civil war in a Sierra Leonean community. METHODS: We conducted an immunization survey in Kissy Mess-Mess in the Greater Freetown area in 1998/99 using a two-stage sampling method. Based on immunization cards and verbal history we collected data on immunization for tuberculosis, diphtheria, tetanus, pertussis, polio, and measles by age group (0-8/9-11/12-23/24-35 months). We studied differences between age groups and explored temporal associations with war-related hostilities taking place in the community. RESULTS: We included 286 children who received 1690 vaccine doses; card retention was 87%. In 243 children (85%, 95% confidence interval (CI): 80-89%) immunization was up-to-date. In 161 of these children (56%, 95%CI: 50-62%) full age-appropriate immunization was achieved; in 82 (29%, 95%CI: 24-34%) immunization was not appropriate for age. In the remaining 43 children immunization was partial in 37 (13%, 95%CI: 9-17) and absent in 6 (2%, 95%CI: 1-5). Immunization status varied across age groups. In children aged 9-11 months the proportion with age-inappropriate (delayed) immunization was higher than in other age groups suggesting an association with war-related hostilities in the community. CONCLUSION: Only about half of children under three years received full age-appropriate immunization. In children born during a period of increased hostilities, immunization was mostly inappropriate for age, but recommended immunizations were not completely abandoned. Missing or delayed immunization represents an additional threat to the health of children living in conflict areas.

The quality of rapid HIV testing in South Africa: an assessment of testers’ compliance.

Background: The aim of this study was to assess the quality of rapid HIV testing in South Africa. Method: A two-stage sampling procedure was used to select HCT sites in eight provinces of South Africa. The study employed both semi-structured interviews with HIV testers and observation of testing sessions as a means of data collection. In total, 63 HCT sites (one HIV tester per site) were included in the survey assessing qualification, training, testing practices and attitudes towards rapid tests. Quantitative data was analysed using descriptive statistics and qualitative data was content analysed. Results: Of the 63 HIV testers, 20.6% had a nursing qualification, 14.3% were professional counsellors, 58.7% were lay HIV counsellors and testers and 6.4% were from other professions. Most HIV testers (87.3%) had had a formal training in testing, which ranged between 10-14 days, while 6 (9.5%) had none. Findings revealed sub-standard practices in relation to testing. These were mainly related to non-adherence to testing algorithms, poor external quality control practices, poor handling and communication of discordant results. Conclusion: Quality of HIV rapid testing may be highly compromised through poor adherence to guidelines as observed in our study.

Factors related to inadequate cervical cancer screening in two Brazilian state capitals

OBJECTIVE:To analyze factors associated with cervical cancer screening failure. METHODS:Population-based cross-sectional study with self-weighted two-stage cluster sampling conducted in the cities of Fortaleza (Northeastern Brazil) and Rio de Janeiro (Southeastern Brazil) in 2002. Subjects were women aged 25-59 years in the last three years prior to the study. Data were analyzed through Poisson regression using a hierarchical model. RESULTS: The proportion of women who did not undergo the Pap smear test in Fortaleza and Rio de Janeiro was 19.1% (95% CI: 16.1;22.1) and 16.5% (95% CI: 14.1;18.9), respectively. Higher prevalence ratios of cervical cancer screening failure in both cities were seen among women with low education and low per capita income, old age, unmarried, who never underwent mammography, clinical breast examination, and blood glucose and cholesterol level testing. Smokers also had lower screening rates compared to non-smoker women and this difference was only statistically significant in Rio de Janeiro. CONCLUSIONS:The study findings point to the need of intervention focusing particularly women in worse socioeconomic conditions and access to healthcare, old-aged and unmarried. Education activities must prioritize screening of asymptomatic women and early diagnosis for symptomatic women and access to adequate diagnostic methods and treatment should be provided.

Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood

The variogram is essential for local estimation and mapping of any variable by kriging. The variogram itself must usually be estimated from sample data. The sampling density is a compromise between precision and cost, but it must be sufficiently dense to encompass the principal spatial sources of variance. A nested, multi-stage, sampling with separating distances increasing in geometric progression from stage to stage will do that. The data may then be analyzed by a hierarchical analysis of variance to estimate the components of variance for every stage, and hence lag. By accumulating the components starting from the shortest lag one obtains a rough variogram for modest effort. For balanced designs the analysis of variance is optimal; for unbalanced ones, however, these estimators are not necessarily the best, and the analysis by residual maximum likelihood (REML) will usually be preferable. The paper summarizes the underlying theory and illustrates its application with data from three surveys, one in which the design had four stages and was balanced and two implemented with unbalanced designs to economize when there were more stages. A Fortran program is available for the analysis of variance, and code for the REML analysis is listed in the paper. (c) 2005 Elsevier Ltd. All rights reserved.

Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood

The variogram is essential for local estimation and mapping of any variable by kriging. The variogram itself must usually be estimated from sample data. The sampling density is a compromise between precision and cost, but it must be sufficiently dense to encompass the principal spatial sources of variance. A nested, multi-stage, sampling with separating distances increasing in geometric progression from stage to stage will do that. The data may then be analyzed by a hierarchical analysis of variance to estimate the components of variance for every stage, and hence lag. By accumulating the components starting from the shortest lag one obtains a rough variogram for modest effort. For balanced designs the analysis of variance is optimal; for unbalanced ones, however, these estimators are not necessarily the best, and the analysis by residual maximum likelihood (REML) will usually be preferable. The paper summarizes the underlying theory and illustrates its application with data from three surveys, one in which the design had four stages and was balanced and two implemented with unbalanced designs to economize when there were more stages. A Fortran program is available for the analysis of variance, and code for the REML analysis is listed in the paper. (c) 2005 Elsevier Ltd. All rights reserved.

Sampling, WLS, and Mixed Models

Mixed models may be defined with or without reference to sampling, and can be used to predict realized random effects, as when estimating the latent values of study subjects measured with response error. When the model is specified without reference to sampling, a simple mixed model includes two random variables, one stemming from an exchangeable distribution of latent values of study subjects and the other, from the study subjects` response error distributions. Positive probabilities are assigned to both potentially realizable responses and artificial responses that are not potentially realizable, resulting in artificial latent values. In contrast, finite population mixed models represent the two-stage process of sampling subjects and measuring their responses, where positive probabilities are only assigned to potentially realizable responses. A comparison of the estimators over the same potentially realizable responses indicates that the optimal linear mixed model estimator (the usual best linear unbiased predictor, BLUP) is often (but not always) more accurate than the comparable finite population mixed model estimator (the FPMM BLUP). We examine a simple example and provide the basis for a broader discussion of the role of conditioning, sampling, and model assumptions in developing inference.

Poor performance of microbiological sampling in the prediction of recurrent arthroplasty infection

During a two-stage revision for prosthetic joint infections (PJI), joint aspirations, open tissue sampling and serum inflammatory markers are performed before re-implantation to exclude ongoing silent infection. We investigated the performance of these diagnostic procedures on the risk of recurrence of PJI among asymptomatic patients undergoing a two-stage revision. A total of 62 PJI were found in 58 patients. All patients had intra-operative surgical exploration during re-implantation, and 48 of them had intra-operative microbiological swabs. Additionally, 18 joint aspirations and one open biopsy were performed before second-stage reimplantation. Recurrence or persistence of PJI occurred in 12 cases with a mean delay of 218 days after re-implantation, but only four pre- or intraoperative invasive joint samples had grown a pathogen in cultures. In at least seven recurrent PJIs (58%), patients had a normal C-reactive protein (CRP, < 10 mg/l) level before re-implantation. The sensitivity, specificity, positive predictive and negative predictive values of pre-operative invasive joint aspiration and CRP for the prediction of PJI recurrence was 0.58, 0.88, 0.5, 0.84 and 0.17, 0.81, 0.13, 0.86, respectively. As a conclusion, pre-operative joint aspiration, intraoperative bacterial sampling, surgical exploration and serum inflammatory markers are poor predictors of PJI recurrence. The onset of reinfection usually occurs far later than reimplantation.

Large Sample Theory for Semiparametric Regression Models with Two-Phase, Outcome Dependent Sampling

Outcome-dependent, two-phase sampling designs can dramatically reduce the costs of observational studies by judicious selection of the most informative subjects for purposes of detailed covariate measurement. Here we derive asymptotic information bounds and the form of the efficient score and influence functions for the semiparametric regression models studied by Lawless, Kalbfleisch, and Wild (1999) under two-phase sampling designs. We show that the maximum likelihood estimators for both the parametric and nonparametric parts of the model are asymptotically normal and efficient. The efficient influence function for the parametric part aggress with the more general information bound calculations of Robins, Hsieh, and Newey (1995). By verifying the conditions of Murphy and Van der Vaart (2000) for a least favorable parametric submodel, we provide asymptotic justification for statistical inference based on profile likelihood.