AbstractThe 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 AIn regard to the first issue a new family of survival functions is proposed. Its purpose is to provide valid and rThe 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. Its purpose is to provide valid and reliabl

Complex diseases are caused by a combination of genetic, lifestyle, and environmental factors and comprise common noncommunicable diseases, including allergies, cardiovascular disease, and psychiatric and metabolic disorders. More than 25% of Europeans suffer from a complex disease, and together these diseases account for 70% of all deaths. The use of genomic, molecular, or imaging data to develop

SwedAD, a Swedish nationwide registry for patients with atopic dermatitis receiving systemic pharmacotherapy, was launched on 1 September 2019. We describe here the establishment of a user-friendly registry to the benefit of patients with atopic dermatitis. By 5 November 2022, 38 clinics had recorded 931 treatment episodes in 850 patients with an approximate national coverage rate of 40%. Characte

Aquatic and terrestrial habitats are interdependent components of the boreal forest landscape involving multiple dynamic interactions; these are manifested particularly in riparian areas, which are key components in the forest landscape. However, this interdependence between aquatic and terrestrial habitats is not adequately accounted for in the current management of forest ecosystems. Here we rev

In recent years, the combination of the digitization of the field of pathology and increased computational power has led to a big increase in research of computer-aided diagnostics using systems based on artificial intelligence (AI). This includes detection and classification of prostate cancer, where several studies have shown great promise in automated prostate cancer grading using deep learning

This thesis addresses the theoretical treatment of photoelectrons in attosecond and free-electron laser sciences. Wehave implemented methods that extract information on the photoionization process, which we use to investigateinterferometric schemes with particular focus on multiphoton ionization and strong-field effects in attosecondmetrology and coherent control of photoelectrons in free-electron

This thesis examines how digital music archives can facilitate different versions of the history of recorded music. It argues that digital technologies and metadata enable coexisting historical narratives of recorded music that move across time and musical genre, and that can cross geographical and cultural space. The study sees a correlation between archival strategies and the presentation of rec