Survival analysis: A survey

This paper is a survey of statistical methods used to analyze the length of time until a specified event occurs. These models have often been used to analyze the survival times (i.e., time until death) of medical patients, and so the term survival analysis is natural. In criminology, the main application of these models has been to analyze the time until recidivism, but many other applications are possible. The paper summarizes the statistical literature on survival analysis, and describes its applications in criminology. The methods are illustrated by an application to the prediction of time until recidivism for a sample of North Carolina prison releasees.     

DNA-based and taxonomic identification of forensically important Sarcophagidae (Diptera) in southeastern Spain

Studying dipterans at the scene of a death can provide essential information for interpreting the evidence and help to reconstruct the events happened to a corpse in the past. Molecular tools have been employed for identification at specific levels in the cases of cryptic species or poorly conserved specimens. Identification of specimens is essential in forensic entomology since each species has a specific growth rate, which determines the calculation of the minimum post mortem interval (minPMI). In addition, phylogeographic reconstruction within a species can help to differentiate the haplotypes from a geographic area, thereby helping to clarify the possible relocation of a corpse. The morphological identification of Sarcophagidae species is often difficult, especially for the females. This is an important Diptera family since some of its species are among the first to reach a corpse, especially in warm areas. In this study, we compared the sarcophagids found in human corpses in forensic cases in Alicante (southeast of Spain) with specimens collected from baited traps in the same area and surrounding provinces. In total, 189 specimens were collected, comprising 72 from forensic cases and 117 from baited traps. Molecular identification was conducted by sequencing the cox1 mitochondrial gene and analyzing the sequences using ABGD, GMYC, and BIN species delimitation methods. The median joining algorithm in the PopART program was used to construct phylogeographic networks. Eight species in the family Sarcophagidae were identified. The most widely collected species were Sarcophaga argyrostoma and Sarcophaga tibialis. The haplotype networks obtained for these species did not indicate a clear geographic distribution of haplotypes. The S. argyrostoma samples from Alcoy were clearly isolated. The results demonstrated that this method is useful for identifying Sarcophagidae samples in forensic investigations and it can be employed for minPMI estimation.     

Ökonomisches Kapital der Eltern und Medizinstudium im Ausland. Wie Europäisierungs- und Globalisierungsprozesse die Reproduktion sozialer Ungleichheiten verändern

The fact that university degrees are accepted throughout Europe has led to the founding of medical faculties, especially in Central and Eastern Europe, that offer medical studies in German or English and thus attracting students from richer Western European countries like Germany. Unlike medical studies in Germany, access to these foreign universities is not dependent on the final school exam grade, but on the ability to pay high tuition fees. The article compares the social class background of medicine students in Germany with German medicine students in Hungary. The analysis shows that the percentage of medicine students who come from higher social classes is even higher in Hungary than it already is in Germany. Studying medicine in Hungary primarily serves as an immediate reproduction of the parents’ profession as many of German medicine students in Hungary have a parent who belongs to the medical profession. The case of German students studying medicine abroad illustrates how Europeanization and Globalization have changed the reproduction of social inequalities; upper classes profit most from the new opportunities.