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Residents of retirements homes in region of Zlín in point of demographic view
Lukácsová, Hana ; Šídlo, Luděk (advisor) ; Hulíková Tesárková, Klára (referee)
Residents of retirements homes in region of Zlín in point of demographic view Abstract Presented work introduces the law no. 108/2006 on social services that determines retirements homes as one of the facilities providing social services. The capacity of these facilities in the Zlín region is evaluated with the help of availability indices and facility normatives. More detailed attention was drawn to an analysis of age, gender, former permanent address and dependence degree of residents in selected retirement homes. This part of the research is based on data provided by five retirement homes in Zlín region. Obtained data was evaluated with the Kaplan-Meier method in order to estimate surviving function for these clients. The resemblance was tested employing the determination of the null hypothesis by log-rank test or Wilcoxon test. Keywords: ageing, residents of retirements homes, law on social services, survival analysis
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Determinants of the circulatory system diseases among the Czech population
Lustigová, Michala
Determinants of circulatory system diseases among the Czech population Abstract The determinants of circulatory system diseases are very well known, modifiable risk factors and factors widely spread among populations are in focus for the public health research. The aim of this thesis is a quantification of main cardiovascular risk factors in the Czech population using the survival analysis and HAPIEE cohort data. The epidemiologic situation, trends in the Czech population health including "the cardiovascular revolution" is discussed in the first part of the thesis. Among the Czech population high prevalence of many risk factors were found. The education had the strongest impact on cardiovascular health from sociodemographic characteristics. The negative effect of smoking, prevalence of high blood pressure, prevalence of diabetes and physical inactivity was confirmed. On the other hand the impact of obesity, binge drinking and high blood cholesterol level was not significant among the Czech population. The population approach in cardiovascular epidemiology and cardiovascular health promotion as well are discussed in the last chapter. Keywords: diseases of the circulatory system, mortality, health transition, cardiovascular health, risk factors, survival analysis, health promotion
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Unemployment Duration in the Czech Republic Through the Lens of Survival Analysis
Čabla, Adam ; Malá, Ivana (advisor) ; Komárková, Lenka (referee) ; Popelka, Jan (referee)
In the presented thesis the aim is to apply methods of survival analysis to the data from the Labour Force Survey, which are interval-censored. With regard to this type of data, I use specific methods designed to handle them, especially Turnbull estimate, weighted log-rank test and the AFT model. Other objective of the work is the design and application of a methodology for creating a model of unemployment duration, depending on the available factors and its interpretation. Other aim is to evaluate evolution of the probability distribution of unemployment duration and last but not least aim is to create more accurate estimate of the tail using extreme value theory. The main benefits of the thesis can include the creation of a methodology for examining the data from the Labour Force Survey based on standard techniques of survival analysis. Since the data are internationally comparable, the methodology is applicable at the level of European Union countries and several others. Another benefit of this work is estimation of the parameters of the generalized Pareto distribution on interval-censored data and creation and comparison of the models of piecewise connected distribution functions with solution of the connection problem. Work brought empirical results, most important of which is the comparison of results from three different data approaches and specific relationship between selected factors and time to find a job or spell of unemployment.
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Survival Analysis in R
Pásztor, Bálint ; Malá, Ivana (advisor) ; Čabla, Adam (referee)
Survival analysis is a statistical discipline that analyzes the time to occurrence of certain events. The aim of this thesis is to describe the possibilities of survival analysis in the environment of statistical software R. Theoretical knowledge is applied to real data, parametric and nonparametric estimates of survival functions are evaluated by different methods and compared with each other. In the section focusing on nonparametric models Kaplan-Meier and Nelson-Aalen functions are described. Among the parametric estimates there were included well-known probability distributions, survival functions and risk functions derived from these distributions are presented and there is discussed their usefulness in survival analysis. Another aim is to show the possibility of deriving transition probabilities from estimates and building a Markov chain model to capture the changes of studied cohort over time. The second part of the work contains a description of the applications of the theory of survival analysis. In this section there are shown possibilities of statistical modeling in the field of survival analysis using the software R. Outputs from R were used to create Markov model. There are presented possibilities of pharmacoeconomic models and description of the basic concepts of HTA. Cost-effectiveness calculations using ICER were conducted in accordance with the methodology of SUKL. It was shown that the statistical modelling of survival plays an important role in the evaluation of the cost-effectiveness of medicines.
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Comparing of length of employment before and during the financial crisis
Vágner, Hubert ; Čabla, Adam (advisor) ; Malá, Ivana (referee)
In this bachelor thesis I introduce survival analysis and distribution of time-to-event. The analyzied subject is the resignation from work. It means that I find out and compare how long on average people had work before the financial recession of 2008-2009 and during the time period of the 2010-2011 recession. The data gathered is from the Labor Force Survey, which is produced by the Czech Statistical Office. I used interval censoring to gather the data for the average length of the working ratio. This means that we know that the observed event happened in a given interval, in this case the intervals are individual survays. First of all, it's necessary to estimate the survival function. We shall do this with the help of the nonparametrical Turnbull's estimate for data in interval censoring. Than we calculate individual averages. The empirical part will consist of individual comparisons of the survival function and the average lengths of the working ratio, first for the overall population, second for separate genders and finally for various education levels.
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Introduction to Survival Analysis
Valenta, Zdeněk
Survival analysis is concerned with analyzing time-to-event data where the event of interest usually represents some type of “failure”. In clinical medicine, the event of interest may be e.g. death of a patient from well specified causes, autoimmune rejection of the graft by the transplant recipient or other type of graft failure in transplant studies. In certain situations, however, the true survival outcomes may not be observable, because we have observed a so called “censoring event” which prevented the event of interest from occurring. Such censoring event may represent, for instance, loss of a particular subject from follow-up, occurrence of administrative censoring, which typically takes place in clinical trials, or we may indeed observe other type of “failure”, e.g. death from fatal injuries rather than from cardiovascular causes which were of primary interest in a particular clinical trial. In this article we will stress the importance of a key assumption relating censoring process to survival outcomes and review principle univariate survival analysis methods for uncorrelated data. We will review popular models for analyzing univariate survival data, many of which enable us quantifying effect the prognostic variables independently exert on survival outcomes. Model examples will cover the classes of non-parametric, parametric and semi-parametric methods. We will also review underlying assumptions of individual models and stress the importance of using appropriate models in analyzing univariate time-to-event data.
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Length of doctoral studies at the Faculty of Informatics and Statistics
Hybšová, Aneta ; Malá, Ivana (advisor) ; Čabla, Adam (referee)
This thesis describes the survival analysis, exactly Kaplan-Meier estimate. A main part of the thesis deals with the problem of censored data, which is typical for survival analysis. The empirical part describes lenght of PhD studies at the Faculty of Informatics and Statistics and their "survival" in studies by Kaplan-Meier curves. First are analyzed uncensored data and then the whole data set (censored and uncensored data).
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Analysis of the Survival and its Application in Risk Management
Kawuloková, Zuzana ; Komárková, Lenka (advisor) ; Magyar, Tomáš (referee)
The main objective of this thesis is to describe methodological approaches used in survival analysis and investigate the possibility of its uses in processes of credit risk modeling in bank. The thesis focuses at Kaplan-Meier and Life-table estimations of survival function, Kaplan-Meier estimation of hazard function and function of cumulative hazard and so called log-rank test. Estimations are performed on real bank data and obtained results are discussed in term of credit risk modeling. In the thesis is demonstrated that survival analysis can be strong instrument on the field of credit risk support analyses even though it is still recommended to use it in combination with other approaches.
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Modely s náhodnými efekty v analýze přežívání
Faltus, Václav
The aim of this paper is to present an overview of the methods used in modeling survival data. Since the topic of my future Ph.D. thesis is Statistical models for correlated survival data we introduce the use of frailties as an equivalent of random effects in common statistical modeling together with its connection to correlation. Frailty model, how model with frailties is called, uses frailties as a parameter for individuals. Those who are most frail will experience an event earlier than others.
Fulltext: content.csg -  PDF
Plný tet: 0373342 - PDF
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