Record matching is a fundamental and ubiquitous part of today?s society. Anything from typing in a password in order to access your email to connecting existing health records in California with new health records in New York requires matching records together. In general, there are two types of record matching algorithms: deterministic, a more rules-based approach, and probabilistic, a model-based approach. Both types have their advantages and disadvantages. If the amount of data is relatively small, deterministic algorithms yield very high success rates. However, the number of common mistakes, and subsequent rules, becomes astronomically large as the sizes of the datasets increase. This leads to a highly labor-intensive process updating and maintaining the matching algorithm. On the other hand, probabilistic record matching implements a mathematical model that can take into account keying mistakes, does not require as much maintenance and over- head, and provides a probability that two particular entities should be linked. At the same time, as a model, assumptions need to be met, fitness has to be assessed, and predictions can be incorrect. Regardless of the type of algorithm, nearly all utilize a 0/1 field-matching structure, including the Fellegi-Sunter algorithm from 1969. That is to say that either the fields match entirely, or they do not match at all. As a result, typographical errors can get lost and false negatives can result. My research has yielded that using Jaro-Winkler string comparator scores as predictors to a Bayesian logistic regression model in lieu of a restrictive binary structure yields marginal improvement over current methodologies.

This project examined the extent to which Nova Scotian adolescents’ counselling needs are being met with respect to physical, sexual, substance use, and psychosocial health by their family physicians. This was accomplished by assessing how well Nova Scotian physicians provide preventative advice consistent with the Guidelines for Adolescent Preventative Services (GAPS). Analyses were performed using pooled data from surveys carried out in 2003 and 2006. Descriptive analyses, Poisson and logistic regression were used to examine associations of sociodemographic characteristics, need, and the presence of school based health centres (SBHCs) with the provision of advice. Advice was not well provided and appeared to be need-driven. Females were significantly more likely to be provided advice and respondent access to a SBHC increased the likelihood of advice being provided. These results have implications for policy and practice, specifically, ways to refine preventative healthcare services for the province’s adolescents to ensure optimal care.

Higher education analysis in the Czech Republic with a focus on graduates 2001-2017 Abstract The aim of this thesis is the analysis of higher education graduates in the Czech Republic between 2001 and 2017, focussing on the type of study program, the field of study, the net duration of the study, the graduation age, the citizenship and the gender. As main data source served the register. Changes in the net duration of the study, depending on the above-mentioned factors, were summarized using a general linear model. The gender dependence on the field and the net duration of the study was modeled using logistic regression. In addition, demographic methods were used for net entry rates and net graduation rates. Theoretical introduction to the topic - Trow's Concept, Bologna Process and Strategic Materials of the Ministry of Education, Youth and Sports - is also included. The overview of higher education is complemented by the historical development of the higher education system in Czechoslovakia, information on the educational structure according to the SLDB 2011 and international comparisons within the OECD countries complements the overall view of higehr education. The main finding of this work is the fact that the amount and the structure of graduates reflect the implementation of the principles of the...

This thesis presents a case of study of the development and performance analysis of a surface grading application with real-time compliance. We address the issue of spatial and temporal uniformity in the acquisition system. In a surface grading application it is crucial to ensure the uniform response of the system through time and space. All the results presented for surface grading were obtained using real data from the ceramic tile industry. The VxC TSG database is public and can be accessed at www.disca.upv.es/vision/vxctsg. We present a method based on soft colour-texture descriptors computed in perceptually uniform colour spaces. The method is parameterized and the involved factors are studied using two statistical procedures; experimental design and logistic regression. Although it is not a new theoretical contribution, we have found and demonstrate that a simple set of global colour and texture statistics, together with well-known classifiers, are powerful enough to meet stringent factory requirements for real-time and performance. Also the method is compared with two other approaches from the scientific literature; Colour Histograms and Centile-LBP. Finally, we explore the method's capacity for on-line inspection in a study of real-time compliance and parallelization. / López García, F. (2005). Real-time surface grading of ceramic tiles [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1909