Search for dissertations about: "panel data and survival analysis"

Showing result 1 - 5 of 23 swedish dissertations containing the words panel data and survival analysis.

  2. 1. Integrative genomic and survival analysis of breast tumors

    Author : Szilard Nemes; Göteborgs universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; biostatistics; cancer; survival analysis; gemonics; DNA copy number aberrations; messenger RNA;

    Abstract : With the continued accumulation of genomic data at ever increasing resolution the challenge ahead lies in reading out meaningful clinical/biological information form the data that can contribute to a better understanding of the cancerous process. The need for novel approaches, new statistical methods is therefore strong. READ MORE

  4. 2. Essays on Social Capital, Health and Socioeconomic Inequalities in Health A Health Economic Study

    Author : Kamrul Islam; Socialepidemiologi; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; economic systems; economic theory; Economics; econometrics; Samhällsvetenskaper; Social sciences; epidemiologi; Folkhälsa; epidemiology; Public health; Sweden; Panel data fixed-effect model; Decomposition analysis; Concentration index; Socioeconomic health inequality; Population aging; Survival analysis; Extended Cox model; Multilevel analysis; Unbalanced panel data; Externalities; Crime rates; Election participation rates; Community social capital; Municipality-level social capital; Systematic review; Egalitarianism; Determinants of health; Mortality; Health-related quality of life; Health; Keywords; Social capital; economic policy; Nationalekonomi; ekonometri; ekonomisk teori; ekonomiska system; ekonomisk politik;

    Abstract : The thesis comprises four independent research papers and a summary that focus on two related dimensions. The first dimension focuses on the understanding of the production of health. Particularly, the question is asked whether community's stock of social capital influence individual's health. READ MORE

  5. 3. The Analysis of Duration and Panel Data in Economics

    Author : Wolfgang Hess; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Monetary Exchange Rate Model; Homogeneity Testing; Panel Cointegration; Pooling; Duration of Trade; Unemployment Duration; Proportional Hazards; Unobserved Heterogeneity; Hazard Rate; Discrete-Time Duration Model; Threshold Excess Model;

    Abstract : This thesis is divided into two distinct parts. The first part contains three chapters dealing with the analysis of duration data from an econometric perspective and with application to trade durations. READ MORE

  6. 4. When Employees Leap to Self-Employment

    Author : Frederik Witte; Företagsekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; self-employment entry; occupational choice; idea creation; occupation; laboratory experiment; panel data; survival analysis; data mining; model; entrepreneurship;

    Abstract : The dissertation studies the determinants of self-employment entry through an economics of entrepreneurship lens, and examines two sources of data: 7 years of employer--employee matched panel data and a laboratory experiment. The results suggest that employees are more likely to take the leap to self-employment when they have their own business idea, and are employed in occupations with high wage variance. READ MORE

  7. 5. Metabolic risk markers and relative survival in patients with aortic stenosis requiring surgery

    Author : Anders Holmgren; Ulf Näslund; Stefan Söderberg; Michael Henein; Rune Haaverstad; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; aortic stenosis; aortic valve surgery; coronary artery disease; prospective cohort study; risk markers; lipoprotein a ; apolipoproteins; proteomics; troponin T; C-reactive protein; relative survival; observed survival; kardiologi; Cardiology;

    Abstract : Background: Aortic stenosis (AS) is the most common valve disorder requiring surgery in developed countries. The etiology of AS is only partly known.  Identification of new biomarkers in prospective studies could lead to novel insights in the etiology of AS, and possibly lead to improved clinical management. READ MORE