Application of Redundancy Analysis for Aerobiological Data

An aerobiological survey was conducted through five consecutive years (2006–2010) at Worcester (England).The concentration of 20 allergenic fungal spore types was measured using a 7-day volumetric spore trap. The relationship between investigated fungal spore genera and selected meteorological parameters (maximum, minimum, mean and dew point temperatures, rainfall, relative humidity, air pressure,wind direction) was examined using an ordination method(redundancy analysis) to determine which environmental factors favoured their most abundance in the air and whether it would be possible to detect similarities between different genera in their distribution pattern. Redundancy analysis provided additional information about the biology of the studied fungi through the results of the Spearman’s rank correlation. Application of the variance inflation factor in canonical correspondence analysis indicated which explanatory variables were auto-correlated and needed to be excluded from further analyses. Obtained information will be consequently implemented in the selection of factors that will be a foundation for forecasting models for allergenic fungal spores in the future.

Degree of multicollinearity and variables involved in linear dependence in additive-dominant models

The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive-dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non-additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03 - 70.20 for RM and 1.03 - 60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non-additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition.

Application of the general linear model to assess the effect of missing data on bone marrow mononuclear cell therapy with infusion timing and follow-up MRI

With most clinical trials, missing data presents a statistical problem in evaluating a treatment's efficacy. There are many methods commonly used to assess missing data; however, these methods leave room for bias to enter the study. This thesis was a secondary analysis on data taken from TIME, a phase 2 randomized clinical trial conducted to evaluate the safety and effect of the administration timing of bone marrow mononuclear cells (BMMNC) for subjects with acute myocardial infarction (AMI).^ We evaluated the effect of missing data by comparing the variance inflation factor (VIF) of the effect of therapy between all subjects and only subjects with complete data. Through the general linear model, an unbiased solution was made for the VIF of the treatment's efficacy using the weighted least squares method to incorporate missing data. Two groups were identified from the TIME data: 1) all subjects and 2) subjects with complete data (baseline and follow-up measurements). After the general solution was found for the VIF, it was migrated Excel 2010 to evaluate data from TIME. The resulting numerical value from the two groups was compared to assess the effect of missing data.^ The VIF values from the TIME study were considerably less in the group with missing data. By design, we varied the correlation factor in order to evaluate the VIFs of both groups. As the correlation factor increased, the VIF values increased at a faster rate in the group with only complete data. Furthermore, while varying the correlation factor, the number of subjects with missing data was also varied to see how missing data affects the VIF. When subjects with only baseline data was increased, we saw a significant rate increase in VIF values in the group with only complete data while the group with missing data saw a steady and consistent increase in the VIF. The same was seen when we varied the group with follow-up only data. This essentially showed that the VIFs steadily increased when missing data is not ignored. When missing data is ignored as with our comparison group, the VIF values sharply increase as correlation increases.^

Genomic inflation factors under polygenic inheritance

Population structure, including population stratification and cryptic relatedness, can cause spurious associations in genome-wide association studies (GWAS). Usually, the scaled median or mean test statistic for association calculated from multiple single-nucleotide-polymorphisms across the genome is used to assess such effects, and 'genomic control' can be applied subsequently to adjust test statistics at individual loci by a genomic inflation factor. Published GWAS have clearly shown that there are many loci underlying genetic variation for a wide range of complex diseases and traits, implying that a substantial proportion of the genome should show inflation of the test statistic. Here, we show by theory, simulation and analysis of data that in the absence of population structure and other technical artefacts, but in the presence of polygenic inheritance, substantial genomic inflation is expected. Its magnitude depends on sample size, heritability, linkage disequilibrium structure and the number of causal variants. Our predictions are consistent with empirical observations on height in independent samples of ~4000 and ~133,000 individuals.

Do instructional attributes pose multicollinearity problems? An empirical exploration

It is commonly perceived that variables ‘measuring’ different dimensions of teaching (construed as instructional attributes) used in student evaluation of teaching (SET) questionnaires are so highly correlated that they pose a serious multicollinearity problem for quantitative analysis including regression analysis. Using nearly 12000 individual student responses to SET questionnaires and ten key dimensions of teaching and 25 courses at various undergraduate and postgraduate levels for multiple years at a large Australian university, this paper investigates whether this is indeed the case and if so under what circumstances. This paper tests this proposition first by examining variance inflation factors (VIFs), across courses, levels and over time using individual responses; and secondly by using class averages. In the first instance, the paper finds no sustainable evidence of multicollinearity. While, there were one or two isolated cases of VIFs marginally exceeding the conservative threshold of 5, in no cases did the VIFs for any of the instructional attributes come anywhere close to the high threshold value of 10. In the second instance, however, the paper finds that the attributes are highly correlated as all the VIFs exceed 10. These findings have two implications: (a) given the ordinal nature of the data ordered probit analysis using individual student responses can be employed to quantify the impact of instructional attributes on TEVAL score; (b) Data based on class averages cannot be used for probit analysis. An illustrative exercise using level 2 undergraduate courses data suggests higher TEVAL scores depend first and foremost on improving explanation, presentation, and organization of lecture materials.

Habilidades sociais de pais e mães de crianças do Rio de Janeiro: estudo preliminar sobre sua relação com as práticas e estilos parentais

O estilo parental tem influência no desenvolvimento humano e pode ser definido como um padrão de comportamentos identificáveis nos pais quando se relacionam com seus filhos. A literatura tem utilizado alguns parâmetros para compreender os estilos parentais. Um deles se caracteriza pelo binômio: limites-afeto ou responsividade e exigência, delimitando três estilos parentais: Autoritário, Permissivo e Autoritativo. O estilo autoritário caracteriza-se por pais que dão muitos limites e pouco afeto. Estes pais procuram manter a ordem e o controle da família, devendo a obediência ser alcançada ainda que sob padrões punitivos. O estilo permissivo caracteriza-se por pais que dão pouco limite e muito afeto. Nesse caso, há uma crença naturalista segundo a qual a criança deve expressar livremente suas necessidades e aprender por si só. Estes pais não se vêem como responsáveis por ensinar ou modificar comportamentos infantis. O estilo autoritativo caracteriza-se por pais que dão muito limite e muito afeto. O cuidador apresenta condutas intermediárias entre as permissivas e autoritárias, estimulando verbalizações emocionais, permitindo que os filhos participem das decisões, estimulando argumentações, autonomia e disciplina. A empatia é considerada uma habilidade essencial para a manutenção dos laços sociais, que propicia a percepção da necessidade do outro e ao mesmo tempo favorece a sensação de ser compreendido. A assertividade é a habilidade de expressar e defender sua opinião com firmeza e segurança, sem, contudo desrespeitar o outro. Esta pesquisa tem como hipótese a idéia de que pais autoritativos seriam mais empáticos e assertivos do que pais autoritários. O objetivo deste estudo foi correlacionar os Estilos Parentais s Habilidades Sociais: Assertividade e Empatia. Participaram da pesquisa 64 pais, 21 homens e 43 mulheres. Os instrumentos utilizados foram: o Inventário de Habilidades Sociais (IHS-Del Prette), ao Inventario de Empatia (IE FALCONE) e ao Parental Autority Questionary (PAQ). A Análise dos dados foi feita através do SPSS. Foram efetuadas correlações r de Person entre os fatores do PAQ e os fatores do IHS e do IE. Os resultados apontaram para uma correlação positiva (r = 0,30 ; p < 0,05) entre o fator Enfrentamento e Auto-afirmação do IHS e o estilo Autoritativo. Uma relação negativa (r = -0,24 ; p < 0,05) foi observada entre este mesmo fator e o estilo Autoritário. Em relação a empatia, os fatores Tomada de Perspectiva (r = 0,33 ; p < 0,01), Sensibilidade Afetiva (r = 0,25 ; p < 0,05) e Autruismo (r = 0,25 ; p < 0,05) correlacionaram-se positivamente ao estilos Autoritativo, Em relação ao fator Autoritário, foi verificada uma correlação negativa ( r = -0,24 ; p < 0,05) com o fator Altruísmo do IE. A partir deste resultado, foram realizadas três análises de regressão linear múltipla (stepwise) considerando cada um dos fatores do PAQ como variáveis dependentes dos fatores do IHS e do IE. Os Fatores Enfrentamento e Auto-afirmação do IHS e o fator Autruísmo do IE junto explicam 15% da variância do Fator autoritativo. Os resultados apresentados são discutidos a luz da psicologia do desenvolvimento, psicologia social e neuropsicologia.

Validation of the professional practice environment scale in Australian general practice

Purpose: To validate the Professional Practice Environment Scale (PPE) in Australian general practice. Methods: The PPE was modified slightly for appropriateness for the practice setting and administered to a sample of 342 Australian general practice nurses via an online survey tool. The factor structure of the 38-item PPE was examined using principal components analysis with Varimax rotation. Findings: An eight-factor solution accounted for 71.6% of the variance. Low factor loading (<0.3) or cross-component loadings were detected in eight items. A comparison of Cronbach's alpha values demonstrated little change in the deletion of eight items from four of the eight related components. Conclusions: Findings demonstrated that a 30-item version of the PPE was reliable and valid for use to assess the professional practice environment of nurses working in Australian general practice. Clinical Relevance: A tool to measure the professional practice environment in general practice is important as it will assist in monitoring the impact of the work environment on the recruitment, retention, and satisfaction of nurses in this setting.

Use of ridge regression for the prediction of early growth performance in crossbred calves

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

Estimativas de efeitos genotípicos sobre os desempenhos pré e pós-desmama de populações Hereford x Nelore

Objetivou-se obter estimativas de efeitos genéticos aditivos e não-aditivos para as características pré e pós-desmama de animais Hereford x Nelore por meio de análises de regressão linear múltipla, com e sem o uso da técnica de regressão de cumeeira. Avaliaram-se as características ganho médio diário do nascimento à desmama, conformação, precocidade e musculatura à desmama, ganho médio diário da desmama ao sobreano, conformação, precocidade e musculatura ao sobreano e perímetro escrotal ajustado para idade e para idade e peso. Os resultados obtidos sem o uso da técnica indicaram valores acentuados dos fatores de inflação da variância. Para melhor interpretar os efeitos estimados, foram preditos os desempenhos de cinco gerações na formação do Braford ½ em relação à raça Hereford, partindo de vacas da raça Nelore. Os animais da geração F1 apresentaram alto desempenho, em razão do benefício máximo da heterose direta e do efeito aditivo materno. A manifestação completa da epistasia direta reduziu significativamente os desempenhos dos animais da geração F2. Para as características de desmama, os animais da geração F3 mostraram desempenhos menores, em virtude do efeito epistático materno máximo, uma vez que suas mães eram da geração F2. Os valores destas características estabilizaram na geração F4, próximos aos valores apresentados pela raça Nelore. Os desempenhos das gerações F3 e F4 para as características pós-desmama e os valores das estabilizações foram próximos ou superiores aos obtidos na geração F2.

Genetic effects on preweaning weight gain of Nelore-Hereford calves according to different models and estimation methods

Additive and nonadditive genetic effects on preweaning weight gain (PWG) of a commercial crossbred population were estimated using different genetic models and estimation methods. The data set consisted of 103,445 records on purebred and crossbred Nelore-Hereford calves raised under pasture conditions on farms located in south, southeast, and middle west Brazilian regions. In addition to breed additive and dominance effects, the models including different epistasis covariables were tested. Models considering joint additive and environment (latitude) by genetic effects interactions were also applied. In a first step, analyses were carried out under animal models. In a second step, preadjusted records were analyzed using ordinary least squares (OLS) and ridge regression (RR). The results reinforced evidence that breed additive and dominance effects are not sufficient to explain the observed variability in preweaning traits of Bos taurus x Bos indicus calves, and that genotype x environment interaction plays an important role in the evaluation of crossbred calves. Data were ill-conditioned to estimate the effects of genotype x environment interactions. Models including these effects presented multicolinearity problems. In this case, RR seemed to be a powerful tool for obtaining more plausible and stable estimates. Estimated prediction error variances and variance inflation factors were drastically reduced, and many effects that were not significant under ordinary least squares became significant under RR. Predictions of PWG based on RR estimates were more acceptable from a biological perspective. In temperate and subtropical regions, calves with intermediate genetic compositions (close to 1/2 Nelore) exhibited greater predicted PWG. In the tropics, predicted PWG increased linearly as genotype got closer to Nelore. ©2006 American Society of Animal Science. All rights reserved.

Alternativas para redução de efeitos de multicolinearidade em modelos de avaliação de efeitos genéticos em bovinos de corte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Eficácia da terapia fotodinâmica antimicrobiana em biofilmes de Staphylococcus Aureus suscetível e resistente á meticilina

Pós-graduação em Reabilitação Oral - FOAR

Testing the structural and cross-cultural validity of the KIDSCREEN-27 quality of life questionnaire

OBJECTIVES: The aim of this study is to assess the structural and cross-cultural validity of the KIDSCREEN-27 questionnaire. METHODS: The 27-item version of the KIDSCREEN instrument was derived from a longer 52-item version and was administered to young people aged 8-18 years in 13 European countries in a cross-sectional survey. Structural and cross-cultural validity were tested using multitrait multi-item analysis, exploratory and confirmatory factor analysis, and Rasch analyses. Zumbo's logistic regression method was applied to assess differential item functioning (DIF) across countries. Reliability was assessed using Cronbach's alpha. RESULTS: Responses were obtained from n = 22,827 respondents (response rate 68.9%). For the combined sample from all countries, exploratory factor analysis with procrustean rotations revealed a five-factor structure which explained 56.9% of the variance. Confirmatory factor analysis indicated an acceptable model fit (RMSEA = 0.068, CFI = 0.960). The unidimensionality of all dimensions was confirmed (INFIT: 0.81-1.15). Differential item functioning (DIF) results across the 13 countries showed that 5 items presented uniform DIF whereas 10 displayed non-uniform DIF. Reliability was acceptable (Cronbach's alpha = 0.78-0.84 for individual dimensions). CONCLUSIONS: There was substantial evidence for the cross-cultural equivalence of the KIDSCREEN-27 across the countries studied and the factor structure was highly replicable in individual countries. Further research is needed to correct scores based on DIF results. The KIDSCREEN-27 is a new short and promising tool for use in clinical and epidemiological studies.

Bone Volume Fraction and Fabric Anisotropy Are Better Determinants of Trabecular Bone Stiffness than Other Morphological Variables

As our population ages, more individuals suffer from osteoporosis. This disease leads to impaired trabecular architecture and increased fracture risk. It is essential to understand how morphological and mechanical properties of the cancellous bone are related. Morphologyelasticity relationships based on bone volume fraction (BV/TV) and fabric anisotropy explain up to 98% of the variation in elastic properties. Yet, other morphological variables such as individual trabeculae segmentation (ITS) and trabecular bone score (TBS) could improve the stiffness predictions. A total of 743 micro-computed tomography reconstructions of cubic trabecular bone samples extracted from femur, radius, vertebrae and iliac crest were analysed. Their morphology was assessed via 25 variables and their stiffness tensor (inline image) was computed from six independent load cases using micro finite element analyses. Variance inflation factors were calculated to evaluate collinearity between morphological variables and decide upon their inclusion in morphology-elasticity relationships. The statistically admissible morphological variables were included in a multi-linear regression modelling the dependent variable inline image. The contribution of each independent variable was evaluated (ANOVA). Our results show that BV/TV is the best determinant of inline image (inline image=0.889), especially in combination with fabric (inline image=0.968). Including the other independent predictors hardly affected the amount of variance explained by the model (inline image=0.975). Across all anatomical sites, BV/TV explained 87% of the variance of the bone elastic properties. Fabric further described 10% of the bone stiffness, but the improvement in variance explanation by adding other independent factors was marginal (<1%). These findings confirm that BV/TV and fabric are the best determinants of trabecular bone stiffness and show, against common belief, that other morphological variables do not bring any further contribution. These overall conclusions remain to be confirmed for specific bone diseases and post-elastic properties.