51 to 60 of 117 Results
Aug 15, 2023 - NCT - Section of Translational Medical Ethics
Anger, Michael; Wendelborn, Christian; Schickhardt, Christoph, 2023, "German funders' data sharing policies - A qualitative interview study [interview excerpts]", https://doi.org/10.11588/data/FJAG0X, heiDATA, V1
Background Data sharing is commonly seen as beneficial for science, but is not yet common practice. Research funding agencies are known to play a key role in promoting data sharing, but German funders’ data sharing policies appear to lag behind in international comparison. This s... |
Kohler, Stefan; Bärnighausen, Till; Eichenauer, Jutta; Scheichenbauer, Christel; Paul, Nicolas, 2024, "Gesundheit und berufliche Zufriedenheit von freiberuflichen und angestellten Hebammen: Ergebnisse einer Hebammenbefragung in Baden-Württemberg [Forschungsdaten]", https://doi.org/10.11588/data/AESW63, heiDATA, V1, UNF:6:ry6jPOc6QEiV1shLoJuJ/g== [fileUNF]
Hintergrund: Seit einigen Jahren wird in Deutschland vielerorts ein Mangel an Hebammen diskutiert. In dieser Studie befragten wir freiberufliche und angestellte Hebammen in Baden-Württemberg zu ihrer Gesundheit sowie beruflichen Zufriedenheit. Methode In Zusammenarbeit: mit dem H... |
Oct 28, 2016 - Multiple Myeloma Research Laboratory
Rème, Thierry; Emde, Martina; Seckinger, Anja; Hose, Dirk, 2016, "HDAMM-predictor: prediction of progression in asymptomatic myeloma patients", https://doi.org/10.11588/data/10092, heiDATA, V1
The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al.... |
Cleo-Aron Weis, 2018, "Histopathology of thymectomy specimens from the MGTX-trial", https://doi.org/10.11588/data/NWE2JJ, heiDATA, V1, UNF:6:Od2UlnHG3ctanb4ikzIx4g== [fileUNF]
Background: The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up: Work-up... |
Aug 25, 2021 - Institute of Medical Psychology
Stoffel, Martin; Neubauer, Andreas; Ditzen, Beate, 2021, "How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations [Research Data]", https://doi.org/10.11588/data/7IWYPF, heiDATA, V1, UNF:6:46/P+TiqxKR1sw+CFKopcw== [fileUNF]
The data and scripts accompany the following manuscript: "How to assess and interpret everyday life salivary cortisol measures: A tutorial on practical and statistical considerations". To use the data with the R scripts, we recommend downloading them in their original file format... |
Apr 18, 2024 - Global Health and Economics
Kohler, Stefan; Dalal, Shona; Hettema, Anita; Matse, Sindy; Bärnighausen, Till; Paul, Nicolas, 2024, "Human resource needs and costs for nurse-led HIV pre-exposure prophylaxis provision in primary care in Eswatini and opportunities for task sharing [Research Data]", https://doi.org/10.11588/data/JABBCS, heiDATA, V1, UNF:6:N6VH0ThbWDXXKVXB2DSKPw== [fileUNF]
Background: The global expansion of HIV pre-exposure prophylaxis (PrEP) includes health systems that face a shortage of skilled health care workers (HCWs). We estimated the human resource needs and costs for providing PrEP in nurse-led primary care clinics in Eswatini. Furthermor... |
Jan 7, 2021 - Stoecklin_BCH_MI3
Eiermann, Nina; Stoecklin, Georg, 2021, "Image-based screening for stress granule regulators", https://doi.org/10.11588/data/KRPJ9A, heiDATA, V1
The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the... |
Jul 28, 2023 - Forschungsgruppe AG Nikendei
Nowak, Jonathan; Nikendei, Christoph; Rollmann, Ivo; Orth, Maximilian; Friederich, Hans-Christoph; Kindermann, David, 2023, "Impact of adverse and protective childhood experiences on symptom improvement rate of anxiety disorders [Analysis]", https://doi.org/10.11588/data/AJKTKU, heiDATA, V1
This dataset contains the complete analysis and results which were conducted for the study 'Impact of adverse and protective childhood experiences on symptom improvement rate of anxiety disorders' within one RMarkdown-Sheet. |
Jul 7, 2023 - AG Computational Diagnostic
Kriegsmann, Mark; Kriegsmann, Katharina; Steinbuss, Georg; Zgorzelski, Christiane; Albrecht, Thomas; Heinrich, Stefan; Farkas, Stefan; Roth, Wilfried; Hausen, Anne; Gaida, Matthias M., 2023, "Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis [data]", https://doi.org/10.11588/data/YAZWJW, heiDATA, V1, UNF:6:gpQyF/jPYXHbW7GvjUboGQ== [fileUNF]
Differentiation of neoplastic and non-neoplastic liver lesions using routine histological tissue sections can be challenging. Correct classification is paramount to forecast prognosis and to select the correct therapy. Deep learning algorithms have recently been suggested to supp... |
Kabisch, Maria; Hamann, Ute; Lorenzo Bermejo, Justo, 2018, "Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]", https://doi.org/10.11588/data/X9UEHB, heiDATA, V1
Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study... |
