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1. |
Record Nr. |
UNINA9910566698903321 |
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Autore |
Jiang Jingmei <1958-> |
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Titolo |
Applied medical statistics / / Jingmei Jiang |
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Pubbl/distr/stampa |
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Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] |
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©2022 |
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ISBN |
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1-119-71682-9 |
1-119-71677-2 |
9781119716822 |
1119716829 |
9781119716778 |
1119716772 |
9781119716709 |
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Descrizione fisica |
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1 online resource (585 pages) : illustrations |
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Disciplina |
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Soggetti |
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Biometry |
Medical statistics |
Medicine - Research - Statistical methods |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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What is biostatistics -- Descriptive statistics -- Fundamentals of probability -- Discrete random variable -- Continuous random variable -- Sampling distribution and parameter estimation -- Hypothesis testing for one parameter -- Hypothesis testing for two population parameters -- One-way analysis of variance -- Analysis of variance in different experimental -- X2 test -- Nonparametric tests based on rank -- Simple linear regression -- Simple linear correlation -- Multiple linear regression -- Logistic regression -- Survival analysis -- Evaluation of diagnostic tests -- Observational study design -- Experimental study design. |
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Sommario/riassunto |
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"Over the past few decades, biomedical data have proliferated rapidly, and opportunities have arisen to use this data to improve human health. Burgeoning methods, such as machine learning techniques, |
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have emerged to respond to the fast growth of the volume of data, and to exploit data in an effective and efficient manner. These methods were founded on statistical learning theory, which is an expansion of traditional statistics. Therefore, cultivating basic statistical thinking capability plays an important and fundamental role in mastering these state-of-the-art methods and embracing the upcoming big data era, which makes a course of introductory biostatistics an indispensable part of the curriculum for medical students. However, as a branch of mathematics, statistics is characterized by hierarchically organized concepts, but a conceptual understanding of statistics is not always intuitive, which makes biostatistics an obstacle that is regarded as a burden for most medical students"-- |
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2. |
Record Nr. |
UNINA9910310642103321 |
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Autore |
Pavlovits Tamás |
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Titolo |
Le rationalisme de Pascal / / Tamás Pavlovits |
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Pubbl/distr/stampa |
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Paris, : Éditions de la Sorbonne, 2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (296 p.) |
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Soggetti |
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Philosophy |
Medieval & Renaissance Studies |
raison |
science |
théologie |
coeur |
apologétique |
métaphysique |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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La valeur de la raison dans la pensée de Pascal est loin d’être évidente. |
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Alors que les écrits scientifiques témoignent d’une rigueur rationnelle remarquable et vont parfois jusqu’à défendre la raison humaine, dans les écrits apologétiques, on observe un changement de style et l’apparition d’une certaine critique de la raison. Comment définir le statut de la raison humaine dans l’ensemble de l’œuvre de Pascal ? Y a-t-il une rupture entre les œuvres scientifiques et apologétiques, une rupture qui s’exprimerait par la critique de la raison que Pascal exerce dans les Pensées? Ou s’agit-il plutôt d’une redéfinition de l'usage de la raison et de l’élaboration d’une nouvelle rationalité non géométrique et non cartésienne dans les écrits apologétiques ? Cet ouvrage retrace l’itinéraire de la raison, des connaissances naturelles aux connaissances surnaturelles, des mathématiques et de la science de la nature à la théologie et à l'apologétique. Les analyses mettent en lumière la force de la raison chez Pascal, force qui provient de la connaissance claire et humble de ses propres limites et qui prend sa source dans une lumière surnaturelle et la certitude du cœur. |
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