Mezinárodní společnost pro klinickou biostatistiku v České republice, zapsaný spolek (ISCB ČR)

Statut společnosti

  • Mezinárodní společnost pro klinickou biostatistiku v České republice, z.s. (ISCB ČR), je dobrovolné, nezávislé občanské sdružení pracovníků se zaměřením na aplikaci statistických metod v medicíně, které má povahu odborné společnosti.
  • Posláním občanského sdružení je ve spolupráci s Mezinárodní společností pro klinickou biostatistiku (International Society for Clinical Biostatistics, ISCB) přispívat k rozvoji biostatistiky v České republice.
  • Občanské sdružení je právnickou osobou.

Nezávislá věda




Zprávy Královské statistické společnosti

National Academies Press

NIH Funding Opportunities

ArXive CS

ArXive Stats

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Aktuální oznámení

  • Measurement theory and statistical models
    Zhiliang Ying, Department of Statistics, Columbia University, 1255 Amsterdam Avenue, Room 1033 , School of Social Work Building, New York, NY 10027, U.S.A.

    AbstractMeasurement theory has played a foundational role in educational, psychological and psychiatric assessment.This talk will introduce various statistical models that have been serving as key tools in measurement theory. It will provide detailed discussions on existing and new statistical models and statistical inferences thereof, with special focus on certain latent class and latent factor models as well as their extensions for categorical and counting process data. The new developments will be applied to examples in educational assessment and psychological evaluation.  

    Keywords: Measurement theory; latent class model; categorical data; counting processes; psychometrics.

    PřednášejícíProf. Zhiliang Ying, Ph.D., Professor of Statistics, Director of Graduate Studies, Department of Statistics, Chief Co-Editor of Statistica Sinica
    Místo: Praktikum KPMS, MFF UK Praha, Sokolovská 83, 1. patro
    Datum: Čtvrtek 5. října 2017
    Čas: 15:40 hod
    Přidáno v 28. 8. 2017 13:22, autor: Zdeněk Valenta
  • Teaching psychometrics and analyzing composite measurements with R and Shiny
    Patrícia Martinková [1], Adéla Drabinová [1,2], Jakub Houdek [3], Lubomír Štěpánek [3,4]

    [1] Oddělení medicínské informatiky a biostatistiky, Ústav informatiky AV ČR v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8
    [2] Katedra pravděpodobnosti a matematické statistiky, Matematicko-fyzikální fakulta, Univerzita Karlova, Sokolovská 83, 186 75 Praha 8
    [3] Fakulta informatiky a statistiky, Vysoká škola ekonomická v Praze, Nám W. Churchilla 4, 130 67 Praha 3
    [4] 1. lékařská fakulta, Univerzita Karlova, Kateřinská 32, 121 08 Praha 2

    AbstractThis work introduces ShinyItemAnalysis (Martinková et al. 2017) R package and an online shiny application for psychometric analysis of educational tests and their items, and difNLR (Drabinová et al., 2017) R package for detection of differential item functioning (DIF).

    ShinyItemAnalysis covers broad range of methods and offers data examples, model equations, parameter estimates, interpretation of results, together with selected R code, and is thus suitable for teaching psychometric concepts with R. Besides, the application aspires to be a simple tool for analysis of educational tests and other composite measurements by allowing the users to upload and analyze their own data and to automatically generate analysis report in PDF or HTML.

    The R package difNLR has been developed for detection of potentially unfair items in educational and psychological testing, analysis of so called differential item functioning, based on extensions of logistic regression model. For dichotomous data, six models have been implemented to offer wide range of proxies to Item Response Theory models. Parameters are obtained using non-linear least square estimation and DIF detection procedure is performed by either F or likelihood ratio test of submodel. For unscored data, analysis of differential distractor functioning (DDF) based on multinomial regression model is offered to provide closer look at individual item options (distractors).

    We argue that psychometric analysis should be a routine part of test development in order to gather proofs of reliability and validity of the measurement. With example of admission test to medical school we demonstrate how presented R packages and Shiny application may provide simple and free tools to routinely analyze tests and to explain advanced psychometric models to students and to test developers. Attention will also be paid to technical details of automatically generated reports. 

    Keywords: psychometrics, item response theory, detection of item bias, differential item functioning, shiny, R

    PřednášejícíPatrícia Martinková, Adéla Drabinová, Jakub Houdek
    Místo: Učebna č. 222, Ústav informatiky AV ČR, v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8
    Datum: Čtvrtek 29. června 2017
    Čas: 14:00 hod
    Přidáno v 19. 6. 2017 4:35, autor: Zdeněk Valenta
  • Brain networks and scalp electroencephalogram
    Milan Paluš
    Oddělení nelineární dynamiky a složitých systémů, Ústav informatiky AV ČR v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8

    AbstractUnderstanding how neurons and neuronal assemblies communicate is one of the greatest challenges of modern science. Adequate description and quantification of brain connectivity (i.e., communication between neuronal assemblies) is not only important for understanding the structure and function of brain networks, but also for diagnosis and treatment of neuropsychiatric diseases, since brain disorders – from schizophrenia to depression to post-traumatic stress disorder – are considered as disorders of connectivity. Functional brain networks are derived from multivariate time series of a quantity reflecting time evolution of brain activity. Modern neuroimaging methods became popular for the inference of the functional networks, however, the scalp electroencephalogram (EEG) is probably the most available and least expensive, non-invasive method to record the brain electrical activity.  We will discuss measures of synchronization and coherence which can be used to infer connectivity patterns from scalp EEG, with a special emphasis on measures designed to cope with the effects of conductivity and reference electrode. Another challenging topic is the detection of cross-frequency interactions, namely the phase-amplitude coupling. We will ask whether we can detect cross-frequency interactions from scalp EEG and whether we can identify them as causal, e.g. in the sense “the phase of slow oscillations determines the amplitude of fast oscillations.” 
    KeywordsEEG, time series analysis, brain networks, functional connectivity, synchronization, coherence, cross-frequency phase-amplitude coupling

    PřednášejícíRNDr. Milan Paluš, DrSc.
    Místo: Učebna č. 222, Ústav informatiky AV ČR, v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8
    Datum: Čtvrtek 18. května 2017
    Čas: 13:00 hod
    Přidáno v 13. 4. 2017 3:02, autor: Zdeněk Valenta
  • Some applications of numerical linear algebra in statistics and some applications of statistics in pharmacy
    Duintjer Jurjen Tebbens
    Oddělení výpočetních metod, Ústav informatiky AV ČR v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8

    AbstractThe talk will present two kinds of personal experience: In the first place, personal experience with attempts to apply knowledge and skills from numerical linear algebra (matrix computations), my primary field of research, to some selected statistical problems. The experiences were gathered mainly while co-authoring papers on classification with discriminant analysis and on robust multivariate scatter estimation. In the second place, I will report on personal experience and future work in solving statistical tasks that arise in pharmaceutical research. This second part does not present any original research, its intention is rather to inform the audience about an application area that is perhaps not very well known to statisticians. 
    KeywordsSparse matrices, computational and memory costs, low rank matrices, Fisher’s linear discriminant analysis, the minimum covariance determinant estimator, design of experiments, meta-analysis.

    Přednášející: Dipl. Math. Duintjer Jurjen Tebbens, PhD.
    Místo: Učebna č. 222, Ústav informatiky AV ČR, v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8
    Datum: Čtvrtek 4. května 2017
    Čas: 13:00 hod
    Přidáno v 8. 3. 2017 13:28, autor: Zdeněk Valenta
  • Měření a klasifikace fotopletysmografických signálů a jejich potenciál pro diagnostiku kardiovaskulárních onemocnění
    Karel Kupka
    TriloByte Statistical Software, Ltd., TBSA: TriloByte Statistical Academy, Staré Hradiště 300, CZ 53352 Pardubice

    Hemodynamics data carries information about both central and peripheral arterial system. Photoplethysmography (PPG) is widely used as a simple diagnostic tool. In this contribution we investigate some methods of statistical modelling including smoothing, orthogonal harmonic regression, parametrization of the PPG pulses and clustering and classification of different curve shapes in the multivariate parametric space to aid diagnosis. We also investigate alternative method called baroplethysmography (BPG) which records blood pressure signal. Both methods are non-invasive and are applied on patient’s finger. We conclude that both measurement methods can be applied simultaneously and the measured signal may provide information transormed into multiple (typically 10-20) independent parameters which are used both to long-term stability monitoring of a particular patient and to classify different patients with respect to their arterial system and possible related diseases.
    Keywords: Plethysmography, Haemodynamics, Arterial system diagnosis, Signal processing, Harmonic regression, Clustering, Classification, Support Vector Machine

    Přednášející: Ing. Karel Kupka, PhD.&PhD.
    Místo: Učebna č. 222, Ústav informatiky AV ČR, v.v.i., Pod Vodárenskou věží 2, 182 07 Praha 8
    Datum: Čtvrtek 30. března 2017
    Čas: 13:00 hod

    Před přednáškou proběhne od 12:30 hod Valná hromada společnosti, kde budou předneseny zprávy o činnosti a hospodaření za uplynulý rok 2016, včetně plánu činnosti pro rok 2017.
    Přidáno v 2. 3. 2017 5:37, autor: Zdeněk Valenta
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