CIAU : Aplicació web per a gestió d'incidències en entorns virtuals

Aplicació web per entrar i gestionar incidències desenvolupada amb CodeIgniter (PHP) i Bootstrap.

A step-by-step tutorial to use HierFstat to analyse populations hierarchically structured at multiple levels.

The populations of parasites and infectious agents are most of the time structured in complex hierarchy that lies beyond the classical nested design described by Wright's F-statistics (F(IS), F(ST) and F(IT)). In this note we propose a user-friendly step-by-step notice for using recent software (HierFstat) that computes and test fixation indices for any hierarchical structure. We add some tricks and tips for some special data kind (haploid, single locus), some other procedure (bootstrap over loci) and how to handle crossed factors.

Identification of care needs of patients with and without the use of a classification instrument

Objective: To analyze the agreement and disagreement between the assessments by applying or not a patient classification instrument, and to investigate the association between the agreement and personal and professional characteristics of the evaluators. Method: This is a descriptive exploratory study. 105 patients were hospitalized in a teaching hospital in the state of Sao Paulo, using the kappa statistic (weighted) and the Bootstrap method. Results: The agreement between the assessments were​​: kw 0.87 (instrument x internal evaluator), kw 0.78 (instrument x external evaluator) and kw 0.76 (between evaluators) and the influence of some personal and professional characteristics. The assessments conducted through the use of an instrument contemplated a greater number of areas of care in relation to when the instrument was not applied. Conclusion: The use of this instrument is recommended in order to more effectively identify care needs of patients.




Stepwise multiple testing as formalized data snooping

It is common in econometric applications that several hypothesis tests arecarried out at the same time. The problem then becomes how to decide whichhypotheses to reject, accounting for the multitude of tests. In this paper,we suggest a stepwise multiple testing procedure which asymptoticallycontrols the familywise error rate at a desired level. Compared to relatedsingle-step methods, our procedure is more powerful in the sense that itoften will reject more false hypotheses. In addition, we advocate the useof studentization when it is feasible. Unlike some stepwise methods, ourmethod implicitly captures the joint dependence structure of the teststatistics, which results in increased ability to detect alternativehypotheses. We prove our method asymptotically controls the familywise errorrate under minimal assumptions. We present our methodology in the context ofcomparing several strategies to a common benchmark and deciding whichstrategies actually beat the benchmark. However, our ideas can easily beextended and/or modied to other contexts, such as making inference for theindividual regression coecients in a multiple regression framework. Somesimulation studies show the improvements of our methods over previous proposals. We also provide an application to a set of real data.

Improved nonparametric confidence intervals in time series regressions

Condence intervals in econometric time series regressions suffer fromnotorious coverage problems. This is especially true when the dependencein the data is noticeable and sample sizes are small to moderate, as isoften the case in empirical studies. This paper suggests using thestudentized block bootstrap and discusses practical issues, such as thechoice of the block size. A particular data-dependent method is proposedto automate the method. As a side note, it is pointed out that symmetricconfidence intervals are preferred over equal-tailed ones, since theyexhibit improved coverage accuracy. The improvements in small sampleperformance are supported by a simulation study.

Diversidade de Arctiinae (Lepidoptera, Arctiidae) capturados com armadilha luminosa, em seis comunidades no Rio Grande do Sul, Brasil

Foram estudadas as faunas de Arctiinae em Camaquã, Iraí, Lagoa Vermelha, Mostardas, Piratini, e São Pedro da Serra. As mariposas foram capturadas por meio de armadilhas luminosas, uma vez por mês, na fase de lua nova, de janeiro de 1998 até dezembro de 1999. Na avaliação das comunidades, foram utilizados a riqueza de espécies, abundancia, constancia bem como, os índices de diversidade e uniformidade de Shannon e Brillouin. Para avaliar a variação do número de exemplares entre os meses e as localidades, foi realizada análise de variância. Na estimativa da riqueza de espécies para cada local, foram usados os procedimentos estatísticos não paramétricos "Bootstrap", "Chao 1", "Chao 2", "Jackknife 1", "Jackknife 2" e "Michaelis-Mentem". Foram capturados 9.800 exemplares de Arctiinae, pertencentes a 192 espécies e distribuídas em 6 tribos. A abundancia e riqueza de espécie, foram maiores em 1998 do que em 1999. Os maiores índices de diversidade em 1998 foram encontrados em Camaquã, Iraí e São Pedro da Serra; entretanto em 1999 Iraí, Piratini e São Pedro da Serra foram os locais de mais elevada diversidade. De acordo com os estimadores de riqueza de espécies podem ser encontradas mais 34% de espécies em Camaquã, 18% em Iraí, 75% em Lagoa Vermelha, 47% em Mostardas, 66% em Piratini e 43% em São Pedro da Serra.

Testing Spatial Autocorrelation in Weighted Networks : the Modes Permutation Test

In a weighted spatial network, as specified by an exchange matrix, the variances of the spatial values are inversely proportional to the size of the regions. Spatial values are no more exchangeable under independence, thus weakening the rationale for ordinary permutation and bootstrap tests of spatial autocorrelation. We propose an alternative permutation test for spatial autocorrelation, based upon exchangeable spatial modes, constructed as linear orthogonal combinations of spatial values. The coefficients obtain as eigenvectors of the standardised exchange matrix appearing in spectral clustering, and generalise to the weighted case the concept of spatial filtering for connectivity matrices. Also, two proposals aimed at transforming an acessibility matrix into a exchange matrix with with a priori fixed margins are presented. Two examples (inter-regional migratory flows and binary adjacency networks) illustrate the formalism, rooted in the theory of spectral decomposition for reversible Markov chains.

Exact and approximate stepdown methods for multiple hypothesis testing

Consider the problem of testing k hypotheses simultaneously. In this paper,we discuss finite and large sample theory of stepdown methods that providecontrol of the familywise error rate (FWE). In order to improve upon theBonferroni method or Holm's (1979) stepdown method, Westfall and Young(1993) make eective use of resampling to construct stepdown methods thatimplicitly estimate the dependence structure of the test statistics. However,their methods depend on an assumption called subset pivotality. The goalof this paper is to construct general stepdown methods that do not requiresuch an assumption. In order to accomplish this, we take a close look atwhat makes stepdown procedures work, and a key component is a monotonicityrequirement of critical values. By imposing such monotonicity on estimatedcritical values (which is not an assumption on the model but an assumptionon the method), it is demonstrated that the problem of constructing a validmultiple test procedure which controls the FWE can be reduced to the problemof contructing a single test which controls the usual probability of a Type 1error. This reduction allows us to draw upon an enormous resamplingliterature as a general means of test contruction.

Statistics in archaeology: New directions

Connections between Statistics and Archaeology have always appeared veryfruitful. The objective of this paper is to offer an outlook of somestatistical techniques that are being developed in the most recentyears and that can be of interest for archaeologists in the short run.

Análise faunística de Calliphoridae (Diptera) da Reserva Biológica do Tinguá, Nova Iguaçu, Rio de Janeiro

O presente estudo investiga a fauna de califorídeos na Reserva Biológica do Tinguá usando como meios os índices faunísticos. Realizaram-se coletas mensais com armadilhas contendo sardinha expostas por 48 horas, nos pontos: A- borda da mata; B- 1000 metros para interior da mata; C- 500 metros para interior da mata. Objetivou-se estudar a entomofauna califorídica em ambiente florestal através de índices faunísticos. Foram coletadas 26 espécies de califorídeos ao longo do experimento. Definiram-se espécies Singletons, Doubletons, Uniques e Duplicates, intermediárias e comuns; calcularam-se riqueza e projeção da riqueza (estimadores Chao 1 e 2, Jackknife 1 e 2, Ace, Ice e Bootstrap); diversidade (Índice Shannon-Wiener); equidade (Índice Pielou) e similaridade dos pontos (quociente Sorensen e porcentagem de similaridade Southwood). Os pontos A e B mostraram o mesmo número de espécies de califorídeos (23), maior que C (16), diferindo apenas nas espécies raras, intermediárias e comuns. Em A foi registrado grande número de espécies consideradas intermediárias. Em B o número de espécies raras, intermediárias e comuns foi similar. Em C, o número de espécies raras foi menor que de intermediárias e comuns. Jackknife 2 no ponto B gerou a maior riqueza, indicando possibilidade de serem coletadas mais cinco espécies na reserva além das coletadas neste estudo, e em A e C mais três espécies. Ace e Bootstrap apresentaram-se seguros para estimativa de riqueza de Calliphoridae. A diversidade foi maior em B. A equidade foi semelhante nos pontos. B e C foram mais semelhantes em relação às espécies (dendograma): Laneela nigripes e Mesembrinella bellardiana, principais destes dois pontos aparecem agrupadas; Chrysomya albiceps, Chrysomya megacephala e Hemilucilia semidiaphana, principais espécies em A aparecem unidas.

Validation procedures in radiological diagnostic models. Neural network and logistic regression

The objective of this paper is to compare the performance of twopredictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled. Clinical and CT data were used for LR and NN models. Both models were developed with cross validation, leave-one-out and three different bootstrap algorithms. The final results of each model were compared with error rate and the area under receiver operating characteristic curves (Az). The neural network obtained statistically higher Az than LR with cross validation. The remaining resampling validation methods did not reveal statistically significant differences between LR and NN rules. The neural network classifier performs better than the one based on logistic regression. This advantage is well detected by three-fold cross-validation, but remains unnoticed when leave-one-out or bootstrap algorithms are used.

Which is the optimal sampling strategy for habitat suitability modelling

Designing an efficient sampling strategy is of crucial importance for habitat suitability modelling. This paper compares four such strategies, namely, 'random', 'regular', 'proportional-stratified' and 'equal -stratified'- to investigate (1) how they affect prediction accuracy and (2) how sensitive they are to sample size. In order to compare them, a virtual species approach (Ecol. Model. 145 (2001) 111) in a real landscape, based on reliable data, was chosen. The distribution of the virtual species was sampled 300 times using each of the four strategies in four sample sizes. The sampled data were then fed into a GLM to make two types of prediction: (1) habitat suitability and (2) presence/ absence. Comparing the predictions to the known distribution of the virtual species allows model accuracy to be assessed. Habitat suitability predictions were assessed by Pearson's correlation coefficient and presence/absence predictions by Cohen's K agreement coefficient. The results show the 'regular' and 'equal-stratified' sampling strategies to be the most accurate and most robust. We propose the following characteristics to improve sample design: (1) increase sample size, (2) prefer systematic to random sampling and (3) include environmental information in the design'

Estimation of percentage body fat in 6- to 13-year-old children by skinfold thickness, body mass index and waist circumference.

We evaluated the accuracy of skinfold thicknesses, BMI and waist circumference for the prediction of percentage body fat (PBF) in a representative sample of 372 Swiss children aged 6-13 years. PBF was measured using dual-energy X-ray absorptiometry. On the basis of a preliminary bootstrap selection of predictors, seven regression models were evaluated. All models included sex, age and pubertal stage plus one of the following predictors: (1) log-transformed triceps skinfold (logTSF); (2) logTSF and waist circumference; (3) log-transformed sum of triceps and subscapular skinfolds (logSF2); (4) log-transformed sum of triceps, biceps, subscapular and supra-iliac skinfolds (logSF4); (5) BMI; (6) waist circumference; (7) BMI and waist circumference. The adjusted determination coefficient (R² adj) and the root mean squared error (RMSE; kg) were calculated for each model. LogSF4 (R² adj 0.85; RMSE 2.35) and logSF2 (R² adj 0.82; RMSE 2.54) were similarly accurate at predicting PBF and superior to logTSF (R² adj 0.75; RMSE 3.02), logTSF combined with waist circumference (R² adj 0.78; RMSE 2.85), BMI (R² adj 0.62; RMSE 3.73), waist circumference (R² adj 0.58; RMSE 3.89), and BMI combined with waist circumference (R² adj 0.63; RMSE 3.66) (P < 0.001 for all values of R² adj). The finding that logSF4 was only modestly superior to logSF2 and that logTSF was better than BMI and waist circumference at predicting PBF has important implications for paediatric epidemiological studies aimed at disentangling the effect of body fat on health outcomes.

The role of migration and domestic transmission in the spread of HIV-1 non-B subtypes in Switzerland.

BACKGROUND: By analyzing human immunodeficiency virus type 1 (HIV-1) pol sequences from the Swiss HIV Cohort Study (SHCS), we explored whether the prevalence of non-B subtypes reflects domestic transmission or migration patterns. METHODS: Swiss non-B sequences and sequences collected abroad were pooled to construct maximum likelihood trees, which were analyzed for Swiss-specific subepidemics, (subtrees including ≥80% Swiss sequences, bootstrap >70%; macroscale analysis) or evidence for domestic transmission (sequence pairs with genetic distance <1.5%, bootstrap ≥98%; microscale analysis). RESULTS: Of 8287 SHCS participants, 1732 (21%) were infected with non-B subtypes, of which A (n = 328), C (n = 272), CRF01_AE (n = 258), and CRF02_AG (n = 285) were studied further. The macroscale analysis revealed that 21% (A), 16% (C), 24% (CRF01_AE), and 28% (CRF02_AG) belonged to Swiss-specific subepidemics. The microscale analysis identified 26 possible transmission pairs: 3 (12%) including only homosexual Swiss men of white ethnicity; 3 (12%) including homosexual white men from Switzerland and partners from foreign countries; and 10 (38%) involving heterosexual white Swiss men and females of different nationality and predominantly nonwhite ethnicity. CONCLUSIONS: Of all non-B infections diagnosed in Switzerland, <25% could be prevented by domestic interventions. Awareness should be raised among immigrants and Swiss individuals with partners from high prevalence countries to contain the spread of non-B subtypes.

Desenvolupament d'una aplicació per a la creació de pressupostos on-line

En aquests moments, el mercat no es troba en una bona situació, per aquest motiu les empreses han de buscar noves maneres de créixer, expandir-se i noves formes d’interactuar amb els clients. La idea original d’aquest projecte sorgeix de la necessitat de disposar d’una manera diferent de promocionar-se i oferir nous serveis a través d’internet mitjançant una pàgina web. Degut a la situació actual, el preu és un aspecte molt important i influent a l’hora de realitzar una obra. Per aquest motiu es va pensar que seria molt interessant que el client pogués demanar de forma fàcil i ràpida un pressupost, i a l’instant tingués un preu orientatiu del que li pot costar la obra. D’aquesta manera l’interessat s’estalvia i agilitza molts passos previs abans de començar una obra. Després d’analitzar quina era la millor manera de portar a terme el projecte informàtic, s’ha determinat que la pàgina web es desenvoluparà utilitzant els llenguatges HTML i PHP combinant-lo amb el framework CodeIgniter. El disseny de la web es realitzarà mitjançant fulles d’estil CSS conjuntament amb el framework BootStrap. Per realitzar l’aplicació web que realitza els pressupostos s’utilitzarà AJAX i jQuery perquè d’aquesta manera el procés sigui dinàmic. L’entorn de desenvolupament escollit és el NetBeans i per provar el projecte s’utilitza el XAMPP. Un usuari només necessitarà un navegador i connexió a internet per fer servir totes les funcions de la web. Podrà realitzar pressupostos, concertar visites, contactar i per suposat veure tota la part informativa de la pàgina.