National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Patent Value Determinants
Štefánková, Stanislava ; Korytárová, Jana (referee) ; Němec, Daniel (referee) ; Polednáková, Anna (referee) ; Režňáková, Mária (advisor)
The dissertation extends the line of research in the field of patent valuation by interconnecting two main strands, the evaluation of quality of patent rights based on their characteristics on one hand, and monetary valuation of patents as assets on the other hand. Moreover, the dissertation proposes and verifies the idea that the value of a patent is driven also by the ability of its owner to use the competitive advantage gained. The aim is to identify characteristics of Czech corporate patents and their owners that affect their value and to propose a way to implement this knowledge in monetary patent valuation. The effect of several ex ante and ex post indicators on patent's life was analysed employing survival analysis methods. Factors that significantly affect the lifespan of patents of Czech companies were identified using the Cox proportional hazard model. The company’s ability to benefit from competitive advantage was measured by its return on assets and return on equity, which were described by a linear mixed model. Finally, the combined effect of patent characteristics and the firm’s ability to materialize the competitive advantage on patent renewal was analysed employing the joint model for longitudinal and censored data. The results revealed positive effect on the chance of patent renewal of patent backward citation, and the concordance level between patents' technological-class codes and those of their antecedent, i.e., documents it refers to. Conversely, the size of the patent portfolio and the number of inventors have a negative effect on the chance of patent renewal. Small and medium businesses’ patents are less likely to be renewed. The effect of the patent family size, the age of the company and the patent pendency time is time-dependent, it initially lowers the chance of renewal, but its strength gradually weakens. The economic life of patents was predicted based on the results of the joint model using Monte Carlo simulation, furthermore, the implications for monetary patent and business valuation were discussed regarding its investment value.
Semiparametric additive risk model
Zavřelová, Adéla ; Kulich, Michal (advisor) ; Maciak, Matúš (referee)
Cox proportional hazard model is often used to estimate the effect of covariates on hazard for censored event times. In this thesis we study the semiparametric models of additive risk for censored data. In this model the hazard is given as a sum of unknown baseline hazard function and a product of covariates and coefficients. Further the general additive-multiplicative model is assumed. In this model the effect of a covariate can be either multiplicative, additive or both at the same time. We focuse on determining the effect of a covariate in the general model. This model can be used to test for the multiplicative or addtive effect of a covariate on the hazard.
Health technology assessment: case study on breast carcinoma treatment in the Czech Republic
Šlegerová, Lenka ; Bryndová, Lucie (advisor) ; Votápková, Jana (referee)
Health technology assessment: case study on breast carcinoma treatment in the Czech Republic Bc. Lenka Šlegerová January 4, 2019 Abstract This thesis proposes an original method for assessing total costs of med- ical treatment. It defines the semi-Markov model with four states that are associated with specific costs of the treatment, and not with patients' health statuses. This method is applied to individuals' treatment data drawn from the Czech clinical practice in the treatment of the metastatic HER2+ breast cancer. The aim is to assess the cost-effectiveness of adding medication per- tuzumab to the combination of trastuzumab+docetaxel within first-line therapy and to examine whether using individual data on Czech patients and the economic conditions leads to different results from foreign stud- ies. Furthermore, employing censored data from the clinical practice in the thesis complicates the estimation of patients' overall survival in compari- son to clinical-trials data that form random samples. Therefore, survival functions were not only estimated by the Kaplan-Meier estimator but also using the Cox proportional hazard model and the Accelerated failure time model that both control for the effects of included covariates. The addition of pertuzumab does not result in significantly longer pa- tients'...

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