Alcohol expectancies and alcohol outcomes: effects of the use of protective behavioral strategies.

OBJECTIVE: Alcohol expectancies (AEs) are positively associated with drinking behaviors, whereas the use of protective behavioural strategies (PBS) is negatively related to alcohol outcomes among young adults. PBS have been shown to weaken relationships between some alcohol risk factors and alcohol outcomes. This study aimed to examine longitudinally the moderating effect of PBS on the relationships between AEs and alcohol outcomes among young adults. METHOD: Participants (N = 188; 61.7% female) were U.S. young adults participating in a larger longitudinal study. Measures of PBS, AEs, alcohol use, and related consequences were used from the baseline and 12-month follow-up assessments. RESULTS: Negative binomial hurdle models found that PBS (total score) significantly moderated the relationship between positive AEs and consequences, such that among high school seniors endorsing higher positive AEs, those using more PBS in high school reported fewer negative consequences 1 year later. PBS (Manner of Drinking) also moderated the relationship between negative AEs and alcohol use, revealing the use of PBS in high school as having a protective function against later drinking among participants with high positive AEs. Last, PBS (Serious Harm Reduction) significantly moderated the associations between positive AEs and alcohol use and between negative AEs and consequences, such that participants with higher AEs and higher PBS use in high school were at greatest risk for drinking and experiencing negative consequences later. CONCLUSIONS: Overall, these findings suggest that PBS use may be protective by weakening relationships between positive AEs and alcohol outcomes. Limitations and future directions are discussed.

Evidence on the role of ownership structure on firms' innovative performance

Based on the Knowledge Production Function framework given by Griliches -1979-, we slightly modify it so that the innovative output depends upon a set of factors related to the firm internal characteristics and are influenced by the environment. Specifically, regarding the firm internal determinants the effect of the concentration of the ownership, the composition of the boards of directors and the effect of the nature of the ownership (foreign and public) are analyzed. Additionally, in order to capture the determinants of the environment in which the firm operates other variables concerning the internationalization of market, the agglomeration economies and the regional knowledge externalities are also considered. In order to assess the impact of these determinants on the number of patents and models of use awarded by the firm, the discreteness of the latter variable has to be taken into account. We apply Poisson and Negative Binomial models for a more comprehensive evaluation of the hypothesis in a panel of Spanish manufacturing firms. The results show patenting activity is positively favoured by being located in an environment with a high innovative activity, due to the existence of knowledge spillovers and agglomeration economies.

Transmission of West Nile virus in the Niagara Region among a population at risk for exposure

Background. West Nile Virus (WNV), a mosquito-borne flavivirus, is one of an increasing number of infectious diseases that have been emerging or re-emerging in the last two decades. Since the arrival ofWNV to Canada to present date, the Niagara Region has only reported 30 clinical cases, a small number compared to the hundreds reported in other regions of similar conditions. Moreover, the last reported human case in Niagara was in 2006. As it has been demonstrated that the majority of WNV infections are asymptomatic, the question remains whether the lack of clinical cases in Niagara truly reflects the lack of transmission to humans or if infections are still occurring but are mostly asymptomatic. Objectives. The general objective of this study was to establish whether or not active WNV transmission could be detected in a human population residing in Niagara for the 2007 transmission season. To fullfil this objective, a cross-sectional seroprevalence study was designed to investigate for the presence of anti-WNV antibodies in a sample of Mexican migrant agricultural workers employed in farms registered with the Seasonal Agricultural Workers Program (SAWP). Due to the Mexican origin of the study participants, three specific research objectives were proposed: a) determine the seroprevalence ofanti-WNV antibodies as well as anti-Dengue virus antibodies (a closely related virus prevalent in Mexico and likely to confound WNV serology); b) analyze risk factors associated with WNV and Dengue virus seropositivity; and c) assess the awareness of study participants about WNV infection as well as their understanding of the mode of transmission and clinical importance of the infection. Methodology: After obtaining ethics clearance from Brock University, farms were visited and workers invited to participate. Due to time constraints, only a small number of farms were enrolled with a resulting convenience and non-randomized study sample. Workers' demographic and epidemiological data were collected using a standardized questionnaire and blood samples were drawn to determine serum anti-WNV and anti- Dengue antibodies with a commercial ELISA. All positive samples were sent to the National Microbiology Laboratory in Winnipeg, Manitoba for confirmation with the Plaque Reduction Neutralization Test (PRNT). Data was analyzed with Stata 10.0. Antibody determinations were reported as seroprevalence proportions for both WNV and Dengue. Logistic regression was used to analyze risk factors that may be associated with seropositivity and awareness was reported as a proportion of the number of individuals possessing awareness over the total number of participants. Results and Discussion. In total 92 participants working in 5 farms completed the study. Using the commercial ELISA, seropositivity was as follows: 2.2% for WNV IgM, 20.7% for WNV IgG, and 17.1 % for Dengue IgG. Possible cross-reactivity was demonstrated in 15/20 (75.0%) samples that were positive for both WNV IgG and Dengue IgG. Confirmatory testing with the PRNT demonstrated that none of the WNV ELISA positive samples had antibodies to WNV but 13 samples tested positive for anti-Dengue antibodies (14.1 % Dengue sereoprevalence). The findings showed that the ELISA performance was very poor for assessing anti-WNV antibodies in individuals previously exposed to Dengue virus. However, the ELISA had better sensitivity and specificity for assessing anti-Dengue antibodies. Whereas statistical analysis could not be done for WNV seropositivity, as all samples were PRNT negative, logistic regression demonstrated several risk factors for Dengue exposure_ The first year coming to Canada appeared to be significantly associated with increased exposure to Dengue while lower socio-economic housing and the presence of a water basin in the yard in Mexico appeared to be significantly associated with a decreased exposure to Dengue_ These seemingly contradictory results illustrate that in mobile populations such as migrant workers, risk factors for exposure to Dengue are not easily identified and more research is needed. Assessing the awareness of WNV and its clinical importance showed that only 23% of participants had some knowledge of WNV, of which 76% knew that the infection was mosquito-borne and 47% recognized fever as a symptom. The identified lack of understanding and awareness was not surprising since WNV is not a visible disease in Mexico. Since WNV persists in an enzootic cycle in Niagara and the occurrence of future outbreaks is unpredictable, the agricultural workers remain at risk for transmission. Therefore it important they receive sufficient health education regarding WNV before leaving Mexico and during their stay in Canada. Conclusions. Human transmission of WNV could not be proven among the study participants even when due to their occupation they are at high risk for mosquito bites. The limitations of the study sample do not permit generalizable conclusions, however, the study findings are consistent with the absence of clinical cases in the Niagara Region, so it is likely that human transmission is indeed neglible or absent. As evidenced by our WNV serology results, PRNT must be utilized as a confirmatory test since false positivity occurs frequently. This is especially true when previous exposure to Dengue virus is likely.

Facteurs environnementaux associés à un asthme mal maîtrisé chez les enfants montréalais

Problématique : Plusieurs expositions résidentielles ont été associées à la prévalence de l’asthme. Toutefois, peu d’études populationnelles ont examiné la relation entre ces facteurs et un asthme mal maîtrisé chez l’enfant. Objectif : Évaluer les facteurs environnementaux résidentiels associés à un asthme mal maîtrisé chez les enfants montréalais âgés de 6 mois à 12 ans. Méthodes : Les données sont tirées d’une enquête transversale menée en 2006 sur la santé respiratoire d’enfants montréalais âgés de 6 mois à 12 ans (n=7980). La maîtrise de l’asthme a été évaluée chez les enfants avec un asthme actif au cours de l’année précédent l’enquête (n=980) selon des critères recommandés par les lignes directrices canadiennes sur l’asthme. Les rapports de prévalence (RP) et les intervalles de confiance (IC) à 95 % caractérisant l’association entre les facteurs environnementaux, incluant la présence d’allergènes, d’irritants, d’humidité et de moisissures, et le risque d’un asthme mal maîtrisé ont été estimés à l’aide de modèles de régression log-binomiale. Les sujets avec une maîtrise acceptable de l’asthme ont été comparés à ceux dont la maladie était mal maîtrisée. Résultats : Des 980 enfants avec un asthme actif au cours de l’année précédant l’enquête, 36 % ont rencontré au moins un des critères des lignes directrices canadiennes suggérant un asthme mal maîtrisé. Les caractéristiques de la population associées à un asthme mal maîtrisé sont : un plus jeune âge, des antécédents d’atopie parentale, une faible scolarisation de la mère, une mère d’origine étrangère et le statut de locataire. Après ajustement pour l’âge de l’enfant, l’atopie parentale et l’exposition à la fumée de tabac au domicile, une intensité de trafic élevée à proximité du domicile (RP, 1,35; IC 95 %, 1,00-1,81) et la localisation au sous-sol de la chambre de l’enfant ou de sa résidence (RP 1,30; IC 95 %, 1,01-1,66) étaient associées à un risque accru d’asthme mal maîtrisé. Conclusions : Une maîtrise sous-optimale de l’asthme semble être associée à l’exposition au trafic routier et à des conditions d’humidité excessive et probablement de moisissures. Cette dernière exposition étant plus fréquente, elle a probablement un plus grand impact en matière de santé publique.

La régression de Poisson multiniveau généralisée au sein d’un devis longitudinal : un exemple de modélisation du nombre d’arrestations de membres de gangs de rue à Montréal entre 2005 et 2007

Les données comptées (count data) possèdent des distributions ayant des caractéristiques particulières comme la non-normalité, l’hétérogénéité des variances ainsi qu’un nombre important de zéros. Il est donc nécessaire d’utiliser les modèles appropriés afin d’obtenir des résultats non biaisés. Ce mémoire compare quatre modèles d’analyse pouvant être utilisés pour les données comptées : le modèle de Poisson, le modèle binomial négatif, le modèle de Poisson avec inflation du zéro et le modèle binomial négatif avec inflation du zéro. À des fins de comparaisons, la prédiction de la proportion du zéro, la confirmation ou l’infirmation des différentes hypothèses ainsi que la prédiction des moyennes furent utilisées afin de déterminer l’adéquation des différents modèles. Pour ce faire, le nombre d’arrestations des membres de gangs de rue sur le territoire de Montréal fut utilisé pour la période de 2005 à 2007. L’échantillon est composé de 470 hommes, âgés de 18 à 59 ans. Au terme des analyses, le modèle le plus adéquat est le modèle binomial négatif puisque celui-ci produit des résultats significatifs, s’adapte bien aux données observées et produit une proportion de zéro très similaire à celle observée.

Resolución espontánea de reflujo vesicoureteral primario en niños: factores predictores y nomograma de predicción

Introducción: Determinamos la proporción de resolución espontánea de RVU primario en una población de niños menores de 5 años así como los factores que influyen y predicen tal resolución, con base en lo cual diseñamos un nomograma que permite determinar la posibilidad de resolución espontánea de cada grado de reflujo a los 3 años de su diagnóstico Metodología: Incluimos 407 niños con diagnóstico de RVU primario en un periodo de 10 años. Mediante análisis de asociación y comparaciones de promedios se determinaron las variables que se comportaron como factores de riesgo para fallar en obtener resolución espontanea y por un modelo de regresión logística binomial se confirmaron asociaciones. Se practicaron comparaciones mediante ANOVA o t-test y así como análisis de sobrevida mediante Log Rank Test para determinar las variables que influían también en el tiempo necesario para obtener resolución espontánea. Resultados: Las tasas de resolución espontánea fueron 92%, 85%, 56.4%, 21% y 5% para los grados I a V de reflujo respectivamente. En el análisis multivariado, Las variables nefropatía por reflujo (sig=0,000), Síndrome de evacuación disfuncional (SED) (sig=0,000) y bilateralidad (sig=0,006) fueron los factores de riesgo independientes para la falla del RVU en resolver espontáneamente. Sin embargo, en los análisis de sobrevida solo la variable SED demostró influir en el tiempo necesario para obtener resolución espontanea (sig=0,002). Discusión: Los hallazgos de este estudio ratifican la importancia de incluir variables como SED, nefropatía por reflujo y lateralidad en los modelos de predicción de resolución espontánea del RVU.

Asymptotic normality in mixtures of power series distributions

The problem of estimating the individual probabilities of a discrete distribution is considered. The true distribution of the independent observations is a mixture of a family of power series distributions. First, we ensure identifiability of the mixing distribution assuming mild conditions. Next, the mixing distribution is estimated by non-parametric maximum likelihood and an estimator for individual probabilities is obtained from the corresponding marginal mixture density. We establish asymptotic normality for the estimator of individual probabilities by showing that, under certain conditions, the difference between this estimator and the empirical proportions is asymptotically negligible. Our framework includes Poisson, negative binomial and logarithmic series as well as binomial mixture models. Simulations highlight the benefit in achieving normality when using the proposed marginal mixture density approach instead of the empirical one, especially for small sample sizes and/or when interest is in the tail areas. A real data example is given to illustrate the use of the methodology.

On the clustering of winter storm loss events over Germany

During the last decades, several windstorm series hit Europe leading to large aggregated losses. Such storm series are examples of serial clustering of extreme cyclones, presenting a considerable risk for the insurance industry. Clustering of events and return periods of storm series for Germany are quantified based on potential losses using empirical models. Two reanalysis data sets and observations from German weather stations are considered for 30 winters. Histograms of events exceeding selected return levels (1-, 2- and 5-year) are derived. Return periods of historical storm series are estimated based on the Poisson and the negative binomial distributions. Over 4000 years of general circulation model (GCM) simulations forced with current climate conditions are analysed to provide a better assessment of historical return periods. Estimations differ between distributions, for example 40 to 65 years for the 1990 series. For such less frequent series, estimates obtained with the Poisson distribution clearly deviate from empirical data. The negative binomial distribution provides better estimates, even though a sensitivity to return level and data set is identified. The consideration of GCM data permits a strong reduction of uncertainties. The present results support the importance of considering explicitly clustering of losses for an adequate risk assessment for economical applications.

Geoadditive models for regional count data: an application to industrial location

We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data that allows us to address simultaneously some important methodological issues, such as spatial clustering, nonlinearities, and overdispersion. This model is applied to the study of location determinants of inward greenfield investments that occurred during 2003–2007 in 249 European regions. After presenting the data set and showing the presence of overdispersion and spatial clustering, we review the theoretical framework that motivates the choice of the location determinants included in the empirical model, and we highlight some reasons why the relationship between some of the covariates and the dependent variable might be nonlinear. The subsequent section first describes the solutions proposed by previous literature to tackle spatial clustering, nonlinearities, and overdispersion, and then presents the Geo-NB-GAM. The empirical analysis shows the good performance of Geo-NB-GAM. Notably, the inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity that induces spatial clustering. Allowing for nonlinearities reveals, in keeping with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some threshold value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs never overcome positive agglomeration externalities.

A flexible model for survival data with a cure rate: a Bayesian approach

In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populations with a cure rate. We consider a cure rate model based on the negative binomial distribution, encompassing as a special case the promotion time cure model. Bayesian analysis is based on Markov chain Monte Carlo (MCMC) methods. We also present some discussion on model selection and an illustration with a real dataset.

A hands-on approach for fitting long-term survival models under the GAMLSS framework

In many data sets from clinical studies there are patients insusceptible to the occurrence of the event of interest. Survival models which ignore this fact are generally inadequate. The main goal of this paper is to describe an application of the generalized additive models for location, scale, and shape (GAMLSS) framework to the fitting of long-term survival models. in this work the number of competing causes of the event of interest follows the negative binomial distribution. In this way, some well known models found in the literature are characterized as particular cases of our proposal. The model is conveniently parameterized in terms of the cured fraction, which is then linked to covariates. We explore the use of the gamlss package in R as a powerful tool for inference in long-term survival models. The procedure is illustrated with a numerical example. (C) 2009 Elsevier Ireland Ltd. All rights reserved.

A Bayesian Long-term Survival Model Parametrized in the Cured Fraction

The main goal of this paper is to investigate a cure rate model that comprehends some well-known proposals found in the literature. In our work the number of competing causes of the event of interest follows the negative binomial distribution. The model is conveniently reparametrized through the cured fraction, which is then linked to covariates by means of the logistic link. We explore the use of Markov chain Monte Carlo methods to develop a Bayesian analysis in the proposed model. The procedure is illustrated with a numerical example.

A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem

In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related to the dose-response model. A hierarchical formulation is provided so that a Markov chain Monte Carlo approach is developed. The methodology is applied to simulated and real data.

O uso de modelos compartimentais do tipo hospedeiro-macroparasita na dinâmica de doenças infecciosas causadas por helmintos diretamente transmitidos

Neste trabalho, nos propomos a estudar o desenvolvimento teórico de alguns modelos matemáticos básicos de doenças infecciosas causadas por macroparasitas, bem como as dificuldades neles envolvidas. Os modelos de transmissão, que descrevemos, referem-se ao grupo de parasitas com transmissão direta: os helmintos. O comportamento reprodutivo peculiar do helminto dentro do hospedeiro definitivo, no intuito de produzir estágios que serão infectivos para outros hospedeiros, faz com que a epidemiologia de infecções por helmintos seja fundamentalmente diferente de todos os outros agentes infecciosos. Uma característica importante nestes modelos é a forma sob a qual supõe-se que os parasitas estejam distribuídos nos seus hospedeiros. O tamanho da carga de parasitas (intensidade da infecção) em um hospedeiro é o determinante central da dinâmica de transmissão de helmintos, bem como da morbidade causada por estes parasitas. Estudamos a dinâmica de parasitas helmintos de ciclo de vida direto para parasitas monóicos (hermafroditas) e também para parasitas dióicos (machos-fêmeas) poligâmicos, levando em consideração uma função acasalamento apropriada, sempre distribuídos de forma binomial negativa. Através de abordagens analítica e numérica, apresentamos a análise de estabilidade dos pontos de equilíbrio do sistema. Cálculos de prevalências, bem como de efeitos da aplicação de agentes quimioterápicos e da vacinação, no controle da transmissão e da morbidade de parasitas helmintos de ciclo de vida direto, também são apresentados neste trabalho.

Planos de amostragem seqüenciais para Orthezia praelonga Douglas (Hemiptera: Sternorrhyncha, Ortheziidae) na cultura de citros

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)