During the past two decades or so, graphical representations have been used increasingly for the examination, summarisation and communication of statistical data. Many graphical techniques exist for exploratory data analysis (ie. for deciding which model it is appropriate to fit to the data) and a number of graphical diagnostic techniques exist for checking the appropriateness of a fitted model. However, very few techniques exist for the representation of the fitted model itself. This thesis is concerned with the development of some new and existing graphical representation techniques for the communication and interpretation of fitted statistical models. The first part of this thesis takes the form of a general overview of the use in statistics of graphical representations for exploratory data analysis and diagnostic model checking. In relation to the concern of this thesis, particular consideration is given to the few graphical techniques which already exist for the representation of fitted models. A number of novel two-dimensional approaches are then proposed which go partway towards providing a graphical representation of the main effects and interaction terms for fitted models. This leads on to a description of conditional independence graphs, and consideration of the suitability of conditional independence graphs as a technique for the representation of fitted models. Conditional independence graphs are then developed further in accordance with the research aims. Since it becomes apparent that it is not possible to use any of the approaches taken m order to develop a simple two-dimensional pen-and-paper technique for the unambiguous graphical representation of all fitted statistical models, an interactive computer package based on the conditional independence graph approach is developed for the construction, communication and interpretation of graphical representations for fitted statistical models. This package, called the "Conditional Independence Graph Enhancer" (CIGE), does provide unambiguous graphical representations for all fitted statistical models considered.

No description available.

As our society becomes more and more complex, planners, politicians and other decision-makers are increasing their demands for relevant, accurate and timely statistical information on a "tailor-made" spatial basis. Government agencies responsible for the provision of statistical data in map form have found that conventional approaches to thematic mapping are not able to cope with these demands and are therefore turning to automated and semi-automated production systems. This thesis deals with the design objectives for an interactive spatial information display subsystem for Census data and reports upon efforts to integrate existing packages into this framework. Consideration is also given to the factors influencing the choice between building a special-purpose subsystem or adopting existing packages with similar or complementary objectives. Finally, a few typical results are appended to demonstrate the current level of operational capacity. / Science, Faculty of / Computer Science, Department of / Graduate

O presente trabalho teve como objetivo, analisar a fidedignidade dos dados estatísticos hospitalares recebidos pela Secretaria de Estado da Saúde de são Paulo. Mediante uma amostra sistemática por conglomerado em etapa única, com base nas saídas de pacientes relacionadas nos Boletins 101 - \"Movimento de Pacientes Saídos\" - recebidos pela Coordenadoria de Assistência Hospitalar da referida Secretaria, foram visitados 31 hospitais de assistência hospitalar geral e examinados 7.021 prontuários de pacientes saídos durante um mês. Encontrou-se uma perda de prontuários bastante grande (19,64 por cento ), havendo hospitais onde essa perda chegou a mais de 40 por cento . Em relação aos dados de identificação (idade e procedência) as concordâncias foram altas (97,08 por cento e 96,93 por cento ), o mesmo acontecendo com os dados administrativos - data de admissão (98,47 por cento ) e tipo de saída (99,82 por cento ). Porém, com referência a data de saída, a discordância média foi maior (7,43 por cento ), com valores de até 65,64 por cento e 82,51 por cento de erro. Alguns fatores responsáveis por esses resultados são analisados no trabalho. Quanto aos diagnósticos, verificou-se que há um aumento da relação de diagnósticos por paciente na medida em que se examina a folha de alta e os prontuários, em relação ao Boletim 101 e que alguns diagnósticos tais como anemias, desnutrição e verminoses apareceram inúmeras vezes nos prontuários sem que tivessem sido anotados nas folhas de alta e, consequentemente, no Boletim 101. Em 1404 casos (17,51 por cento ) os diagnósticos registrados nos boletins não concordavam com os diagnósticos anotados nos prontuários, havendo 458 saídas (6,52 por cento ) onde o único diagnóstico registrado era um estado mórbido mal definido, tendo sido possível reduzir, mediante análise dos prontuários, esse número para 174 casos (2,48 por cento ). Em relação à transcrição correta da saída completa, apenas 69,21 por cento dos casos estava totalmente certa, isto é, tinha todos os itens transcritos corretamente. / The objective of this work was to analyse the accuracy of hospital statistical data collected by means of the \"Model 101 Report\" of the Health Department of São Paulo, Brazil. The \"Model 101 Report\" summarizes the data on discharged patient records and is sent monthly to the Health Department by each hospital in the state of São Paulo. A one stage systematic cluster sampling of these data was performed. Only general care hospitals entered the sample. Thirty one hospitals with 7,021 medical records of discharged patients in a given month were reviewed. The mean loss percentage of medical records at the sample hospitals was 19.64 per cent , reaching as high as 40 per cent or more at some of them. The identifying information and personal data relating to each patient were correct in 97.08 per cent of the cases (age data) and 96.93 per cent of the cases (area of residence). The administrative information was correct in 98.47 per cent of the cases (date of admission) and 99.82 per cent of the cases (discharge status). Only the items of death or routine live discharge were checked. The date of discharge was in error in 7.43 per cent of the cases, as a mean, reaching as high as 65.64 per cent and 82.51 per cent in two of the hospitals. Some factors potentially responsible for these results were analised. There was a increase in the actual number of diagnoses relative to each patient after the medical records were checked. Also diagnoses such as: anemia, malnutrition and parasitosis were present many times in the medical records, without being transcribed to the discharge summary and therefore to the \"Model 101 Report\". In 1.404 cases (17.51 per cent ) the diagnoses on the \"Model 101 Report\" were erroneous. There were 458 (6.52 per cent ) discharges with an ill-defined condition as the unique diagnoses. It was possible to reduce this figure to 174 cases (2.48 per cent ) by checking the medical records. Only 69.21 per cent of the forms were considered entirely correct, i.e., with all the items correctly and completely transcribed.

O presente trabalho teve como objetivo, analisar a fidedignidade dos dados estatísticos hospitalares recebidos pela Secretaria de Estado da Saúde de são Paulo. Mediante uma amostra sistemática por conglomerado em etapa única, com base nas saídas de pacientes relacionadas nos Boletins 101 - \"Movimento de Pacientes Saídos\" - recebidos pela Coordenadoria de Assistência Hospitalar da referida Secretaria, foram visitados 31 hospitais de assistência hospitalar geral e examinados 7.021 prontuários de pacientes saídos durante um mês. Encontrou-se uma perda de prontuários bastante grande (19,64 por cento ), havendo hospitais onde essa perda chegou a mais de 40 por cento . Em relação aos dados de identificação (idade e procedência) as concordâncias foram altas (97,08 por cento e 96,93 por cento ), o mesmo acontecendo com os dados administrativos - data de admissão (98,47 por cento ) e tipo de saída (99,82 por cento ). Porém, com referência a data de saída, a discordância média foi maior (7,43 por cento ), com valores de até 65,64 por cento e 82,51 por cento de erro. Alguns fatores responsáveis por esses resultados são analisados no trabalho. Quanto aos diagnósticos, verificou-se que há um aumento da relação de diagnósticos por paciente na medida em que se examina a folha de alta e os prontuários, em relação ao Boletim 101 e que alguns diagnósticos tais como anemias, desnutrição e verminoses apareceram inúmeras vezes nos prontuários sem que tivessem sido anotados nas folhas de alta e, consequentemente, no Boletim 101. Em 1404 casos (17,51 por cento ) os diagnósticos registrados nos boletins não concordavam com os diagnósticos anotados nos prontuários, havendo 458 saídas (6,52 por cento ) onde o único diagnóstico registrado era um estado mórbido mal definido, tendo sido possível reduzir, mediante análise dos prontuários, esse número para 174 casos (2,48 por cento ). Em relação à transcrição correta da saída completa, apenas 69,21 por cento dos casos estava totalmente certa, isto é, tinha todos os itens transcritos corretamente. / The objective of this work was to analyse the accuracy of hospital statistical data collected by means of the \"Model 101 Report\" of the Health Department of São Paulo, Brazil. The \"Model 101 Report\" summarizes the data on discharged patient records and is sent monthly to the Health Department by each hospital in the state of São Paulo. A one stage systematic cluster sampling of these data was performed. Only general care hospitals entered the sample. Thirty one hospitals with 7,021 medical records of discharged patients in a given month were reviewed. The mean loss percentage of medical records at the sample hospitals was 19.64 per cent , reaching as high as 40 per cent or more at some of them. The identifying information and personal data relating to each patient were correct in 97.08 per cent of the cases (age data) and 96.93 per cent of the cases (area of residence). The administrative information was correct in 98.47 per cent of the cases (date of admission) and 99.82 per cent of the cases (discharge status). Only the items of death or routine live discharge were checked. The date of discharge was in error in 7.43 per cent of the cases, as a mean, reaching as high as 65.64 per cent and 82.51 per cent in two of the hospitals. Some factors potentially responsible for these results were analised. There was a increase in the actual number of diagnoses relative to each patient after the medical records were checked. Also diagnoses such as: anemia, malnutrition and parasitosis were present many times in the medical records, without being transcribed to the discharge summary and therefore to the \"Model 101 Report\". In 1.404 cases (17.51 per cent ) the diagnoses on the \"Model 101 Report\" were erroneous. There were 458 (6.52 per cent ) discharges with an ill-defined condition as the unique diagnoses. It was possible to reduce this figure to 174 cases (2.48 per cent ) by checking the medical records. Only 69.21 per cent of the forms were considered entirely correct, i.e., with all the items correctly and completely transcribed.

Thesis--University of Oklahoma. / Bibliography: leaves 82-83.

Proteomics is the science of understanding the dynamic protein content of an organism's cells (its proteome), which is one of the largest current challenges in biology. Computational proteomics is an active research area that involves in-silico methods for the analysis of high-throughput protein identification data. Current methods are based on a technology called tandem mass spectrometry (MS/MS) and suffer from low coverage and accuracy, reliably identifying only 20-40% of the proteome. This dissertation addresses recall, precision, speed and scalability of computational proteomics experiments. This research goes beyond the traditional paradigm of analyzing MS/MS experiments in isolation, instead learning priors of protein presence from the joint analysis of various systems biology data sources. This integrative `systems' approach to protein identification is very effective, as demonstrated by two new methods. The first, MSNet, introduces a social model for protein identification and leverages functional dependencies from genome-scale, probabilistic, gene functional networks. The second, MSPresso, learns a gene expression prior from a joint analysis of mRNA and proteomics experiments on similar samples. These two sources of prior information result in more accurate estimates of protein presence, and increase protein recall by as much as 30% in complex samples, while also increasing precision. A comprehensive suite of benchmarking datasets is introduced for evaluation in yeast. Methods to assess statistical significance in the absence of ground truth are also introduced and employed whenever applicable. This dissertation also describes a database indexing solution to improve speed and scalability of protein identification experiments. The method, MSFound, customizes a metric-space database index and its associated approximate k-nearest-neighbor search algorithm with a semi-metric distance designed to match noisy spectra. MSFound achieves an order of magnitude speedup over traditional spectra database searches while maintaining scalability. / text

Les sursauts gamma sont des sources astrophysiques parmi les plus brillantes du ciel. Dans le modèle standard actuel, leur émission prompte (X et gamma) est due à des particules chargées accélérées au sein de jets relativistes émis à la formation de trous noirs de masses stellaire. L'émission rémanente observée de la radio aux X serait due à l'interaction de ces jets avec le milieu interstellaire. Le LAT, détecteur à création de paire du télescope spatial Fermi, permet depuis juin 2008 l'étude du ciel gamma de 20 MeV à plus de 300 GeV avec des performances inégalées. Le GBM, détecteur de sources transitoires de Fermi (8 keV à 40 MeV) a observé ~450 sursauts gamma, dont ~18 ont été observés jusqu'au domaine du GeV. Une localisation précise de ces sursauts et la synergie de Fermi avec les autres observatoires permettent l'étude des rémanences associées et une meilleure interprétation des observations. L'étude de sursauts gamma de 8 keV au domaine du GeV est présentée. Les localisations obtenues avec le LAT sont étudiées ainsi que leurs erreurs. Des analyses spectrales des émissions promptes combinant les données du GBM et du LAT sont exposées, ainsi que leur interprétation. Une analyse alternative basée sur une sélection relâchée des données LAT est présentée et caractérisée. L'utilisation des événements d'énergies inférieures à 100 MeV améliore l'analyse temporelle et spectrale des émissions promptes. La recherche d'émission gamma prolongée est présentée, ainsi que l'étude de l'émission rémanente de GRB 090510 observé des UV au GeV par Fermi et Swift. Enfin, un modèle d'émission prompte par les chocs internes, développé à l'IAP, est comparé aux observations de Fermi. / Gamma-Ray Bursts (GRB) are among the brightest gamma-ray sources in the sky. The current standard framework associates their prompt gamma-ray emission to charged particles accelerated in relativistic jets issued by newly-formed stellar-mass black holes. The radio to X-ray afterglow emission is due to the interaction between these jets and the interstellar medium.The LAT, pair-creation instrument onboard Fermi gamma-ray space telescope, performs unprecedented observation of the gamma-ray sky at energies of 20 MeV to over 300 GeV since its launch in june 2008. Fermi's transient sources detector, GBM, observed prompt emissions of ~450 GRB between 8 keV and 40 MeV. ~18 of these GRB were also studied up to GeV energies with the LAT. Accurate GRB localizations and Fermi's synergy with other observatories allows the study of GRB afterglows, and therefore a better interpretation of these observations.The analyses of GRB emissions between 8 keV to GeV energies is presented here. Localizations based on LAT data and their biases are studied. Spectral analyses of combined GBM and LAT data are shown, and their theoretical interpretations explained.An alternative analysis based on a relaxed selection of LAT data is presented and fully characterized. It allows to recover and use low-energy LAT statistics in temporal and spectral analyses of GRB prompt emission.Searches for long-lived high-energy emission from GRB are presented. The analysis of GRB 090510 afterglow emission from eV to GeV energies is described.Finally, Fermi bright GRB prompt emissions are compared to an internal shock model developed at IAP.

The work deals with statistical data compression or data reduction by a general class of classification methods. The data compression results in a representation of the data set by a partition or by some typical points (called prototypes). The optimization problems are related to minimum variance partitions and principal point problems. A fixpoint method and an adaptive approach is applied for the solution of these problems. The work contains a presentation of the theoretical background of the optimization problems and lists some pseudo-codes for the numerical solution of the data compression. The main part of this work concentrates on some practical questions for carrying out a data compression. The determination of a suitable number of representing points, the choice of an objective function, the establishment of an adjacency structure and the improvement of the fixpoint algorithm belong to the practically relevant topics. The performance of the proposed methods and algorithms is compared and evaluated experimentally. A lot of examples deepen the understanding of the applied methods. (author's abstract)

Diss. (sammanfattning) Göteborg : Univ., 2005. / Härtill 3 uppsatser.