884 research outputs found

    The likelihood ratio and its graphical representation

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    Diagnostic tests are important clinical tools. Bayes’ theorem and Bayesian approach are important methods for interpreting test results. The Bayesian factor, the so-called likelihood ratio, has not always been well-understood. In this article, we try to discuss the likelihood ratio and its value for a specific test result, a positive or negative test result, and a range of test results, along with their graphical representations

    The apparent prevalence, the true prevalence

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    Serologic tests are important for conducting seroepidemiologic and prevalence studies. However, the tests used are typically imperfect and produce false-positive and false-negative results. This is why the seropositive rate (apparent prevalence) does not typically reflect the true prevalence of the disease or condition of interest. Herein, we discuss the way the true prevalence could be derived from the apparent prevalence and test sensitivity and specificity. A computer simulation based on the Monte-Carlo algorithm was also used to further examine a situation where the measured test sensitivity and specificity are also uncertain. We then complete our review with a real example. The apparent prevalence observed in many prevalence studies published in medical literature is a biased estimation and cannot be interpreted correctly unless we correct the value

    On determining the sensitivity and specificity of a new diagnostic test through comparing its results against a non-gold-standard test

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    Diagnostic tests are important clinical tools. To assess the sensitivity and specificity of a new test, its results should be compared against a gold standard. However, the gold-standard test is not always available. Herein, I show that we can compare the new test against a well-established diagnostic test (not a gold-standard test, but with known sensitivity and specificity) and compute the sensitivity and specificity of the new test if we would have compared it against the gold-standard test. The technique presented is useful for situations where the gold standard is not readily available

    Determining the SARS-CoV-2 serological immunoassay test performance indices based on the test results frequency distribution

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    Coronavirus disease 2019 (COVID-19) is known to induce robust antibody response in most of the affected individuals. The objective of the study was to determine if we can harvest the test sensitivity and specificity of a commercial serologic immunoassay merely based on the frequency distribution of the SARS-CoV-2 immunoglobulin (Ig) G concentrations measured in a population-based seroprevalence study. The current study was conducted on a subset of a previously published dataset from the canton of Geneva. Data were taken from two non-consecutive weeks (774 samples from May 4-9, and 658 from June 1-6, 2020). Assuming that the frequency distribution of the measured SARS-CoV-2 IgG is binormal (an educated guess), using a non-linear regression, we decomposed the distribution into its two Gaussian components. Based on the obtained regression coefficients, we calculated the prevalence of SARS-CoV-2 infection, the sensitivity and specificity, and the most appropriate cut-off value for the test. The obtained results were compared with those obtained from a validity study and a seroprevalence population-based study. The model could predict more than 90% of the variance observed in the SARS-CoV-2 IgG distribution. The results derived from our model were in good agreement with the results obtained from the seroprevalence and validity studies. Altogether 138 of 1432 people had SARS-CoV-2 IgG ≥ 0.90, the cut-off value which maximized the Youden’s index. This translates into a true prevalence of 7.0% (95% confidence interval 5.4% to 8.6%), which is in keeping with the estimated prevalence of 7.7% derived from our model. Our model can provide the true prevalence. Having an educated guess about the distribution of test results, the test performance indices can be derived with acceptable accuracy merely based on the test results frequency distribution without the need for conducting a validity study and comparing the test results against a gold-standard test

    What’s in a name, anyway?

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    We have used names, particularly surnames, to identify people who are related. However, this has been done in various ways in different societies. While in many western countries we use a given (first) name and a surname (family name) to identify a person, in Arab countries, there are in fact no surnames; people use their given name followed by their father’s given name. For example, while my name in a western system is “Farrokh Habibzadeh” (Farrokh is my first name and Habibzadeh is my family name), my name in Arabic documents, say in a visa, would be “Farrokh Naser” (Naser is my father’s first name). Chinese use another style. They usually use their surname followed by their given name. Then, my name in a Chinese system would be “Habibzadeh Farrokh

    The influence of safety measures on workers' safety perception and behavior

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    The influence of safety measures on workers' safety perception and behavior

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    Memória Descritiva do Projeto de Investigação final de Mestrado apresentado à Faculdade de Letras da Universidade de Coimbra.A valorização do património e do passado de Coimbra tem conhecido uma preocupação crescente ao longo das últimas décadas, culminando com a classificação da Universidade, Alta e Sofia enquanto Património Mundial da UNESCO. O objetivo assumido para a elaboração do presente projeto final, foi, portanto, acompanhar a revalorização de um dos edifícios a ser alvo de recuperação (o Colégio da Santíssima Trindade) e perceber porque é ele importante para a história da cidade.The valorisation of the heritage and history of Coimbra has seen a growing concern over the past decades, culminating in the classification of the University of Coimbra, Alta and Sofia as UNESCO World Heritage site. The aim assumed for the preparation of this final project was to follow the restoration and rehabilitation of one of the buildings of UNESCO’s buffer zone (the Holy Trinity College) and understand why this college is so important for the city’s history
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