11 to 20 of 36 Results
Kesselmeier, Miriam; Lorenzo Bermejo, Justo, 2018, "Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants [Source Code]", https://doi.org/10.11588/data/0Z7H1X, heiDATA, V1
Logistic regression is the most common technique used for genetic case-control association studies. A disadvantage of standard maximum likelihood estimators of the genotype relative risk (GRR) is their strong dependence on outlier subjects, for example, patients diagnosed at unus... |
Kocher, Martin G.; Schindler, David; Trautmann, Stefan T.; Xu, Yilong, 2018, "Risk, time pressure, and selection effects [Dataset]", https://doi.org/10.11588/data/GBKK4O, heiDATA, V1, UNF:6:pP3XUM9b1UVsjEaoU0RTig== [fileUNF]
Time pressure is a central aspect of economic decision making nowadays. It is therefore natural to ask how time pressure affects decisions, and how to detect individual heterogeneity in the ability to successfully cope with time pressure. In the context of risky decisions, we ask... |
Kirchmaier, Isadora; Jens Prüfer; Trautmann, Stefan T., 2018, "Religion, moral attitudes and economic behavior [Dataset]", https://doi.org/10.11588/data/PJ8CJU, heiDATA, V1, UNF:6:MuyPmqfxkF5LETTP7Zp3OA== [fileUNF]
Using data for a representative sample of the Dutch population with information about participants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e... |
Jun 8, 2018 - Diagnostic and Interventional Radiology
Triphan, Simon; Biederer, Jürgen; Burmester, Kerstin; Fellhauer, Iven; Vogelmeier, Claus; Jörres, Rudolf; Kauczor, Hans-Ulrich; Heußel, Claus; Wielpütz, Mark; Jobst, Bertram, 2018, "Raw data and analysis scripts for "Design and application of an MR reference phantom for multicentre lung imaging trials"", https://doi.org/10.11588/data/FHOCRZ, heiDATA, V1
This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized. Abstract Introduction: As there is an increasing number of mul... |
Rösch, Manfred, 2018, "Pflanzenreste vom Viesenhäuser Hof, Stadtteil Mühlhausen, Stuttgart [Supplementary Material]", https://doi.org/10.11588/data/IZ6T02, heiDATA, V1, UNF:6:9No+IXOdPPycSOzME6+QNw== [fileUNF]
Ergänzungsmaterial zu Rösch, M. (2014). Pflanzenreste vom Viesenhäuser Hof, Stadtteil Mühlhausen, Stuttgart. Fundberichte aus Baden-Württemberg, 34(1), 143-176. Liste der Bodenproben Alphabetische Gesamtliste der Resttypen Gesamttabelle, ökologische Gruppierung, Befunde nach Alte... |
Nov 27, 2018 - Diagnostic and Interventional Radiology
Triphan, Simon, 2018, "Perfusion quantification data for "Towards Quantitative Perfusion MRI of the Lung in COPD: The Problem of Short-Term Repeatability"", https://doi.org/10.11588/data/ZPEZPX, heiDATA, V1, UNF:6:SE0iKbhWdsMOrcUkd706AA== [fileUNF]
ABSTRACT Purpose 4D perfusion magnetic resonance imaging (MRI) with intravenous injection of contrast agent allows for a radiation-free assessment of regional lung function. It is therefore a valuable method to monitor response to treatment in patients with chronic obstructive pu... |
Trautmann, Stefan T.; Wakker, Peter P., 2018, "Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]", https://doi.org/10.11588/data/HNN1FW, heiDATA, V1
The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions tha... |
Jun 22, 2018 - Psychological Research Methods
Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step... |
Jun 13, 2018 - Church History
Nunn, Christopher Alexander, 2018, "Keywords in Augustine's Letters (KAL)", https://doi.org/10.11588/data/R5RAXO, heiDATA, V1
252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. Th... |
Chinca, Mark; Hunter, Helen; Wolf, Jürgen; Young, Christopher, 2018, "Kaiserchronik - digital", https://doi.org/10.11588/data/PEFKJM, heiDATA, V3
The digital edition presents the entire manuscript transmission of the Kaiserchronik, both known and extant, in dual format: digital facsimiles of the manuscripts (where these are still extant) on the one hand, transcriptions of the manuscript text on the other. Manuscripts now l... |
