Sökning: "Survival analysis"
Visar resultat 26 - 30 av 1199 avhandlingar innehållade orden Survival analysis.
26. Clinical and Experimental Studies in Peritoneal Metastases from Gastric Cancer
Sammanfattning : Gastric cancer (GC) is one of leading causes of death in the world, and peritoneal metastases (PM) are a major site of recurrence. PM from GC implies a poor prognosis, with median overall survival (mOS) approximately 3 months and no survival at five years. LÄS MER
27. Biomarker Discovery in Cutaneous Malignant Melanoma : A Study Based on Tissue Microarrays and Immunohistochemistry
Sammanfattning : The incidence of cutaneous malignant melanoma has increased dramatically in Caucasians the last few decades, an increase that is partly explained by altered sun exposure habits. For the individual patient, with a localized disease, the tumor thickness of the excised lesion is the most important prognostic factor. LÄS MER
28. Mortality and survival from childhood to old age in rural Ethiopia
Sammanfattning : This thesis examines ways of establishing cause of death, assessing trends in mortality, and identifying factors that affect mortality and survival among the different population groups in rural and semi-urban Ethiopia. These data are important for health care planning; however, such vital data are unavailable in many developing countries. LÄS MER
29. A new family of survival functions and a method for measuring risk inequalities
Sammanfattning : The present compilation thesis is divided into two sections, one for each of two separate methodological issues: reduction of random errors in mortality estimates and offsetting random variation related bias in data generated estimators of risk inequalities. Summary of section A In regard to the first issue a new family of survival functions is proposed. LÄS MER
30. Bifurcations and Exchange of Stability with Density Dependence in a Coinfection Model and an Age-structured Population Model
Sammanfattning : In nature many pathogens and in particular strains of pathogens with negative effects on species coexists. This is for simplicity often ignored in many epidemiological models. It is however still of interest to get a deeper understanding how this coexistence affects the dynamics of the disease. LÄS MER