Christian Thiele
11 Publikationen
2024 | Artikel | FH-PUB-ID: 4522
Tsze, D. S., Thiele, C., Hirschfeld, G., & Dayan, P. S. (2024). Clinically significant differences in self‐reported pain scores in children with headaches. Academic Emergency Medicine. https://doi.org/10.1111/acem.14879
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 4328 | 
Thiele, C., & Hirschfeld, G. (2023). An observational study on the adherence to study registrations in German interventional and observational studies from various fields. PeerJ, 11. https://doi.org/10.7717/peerj.16015
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2023 | Artikel | FH-PUB-ID: 2505 |
Thiele, C., & Hirschfeld, G. (2023). Confidence intervals and sample size planning for optimal cutpoints. PLOS ONE, 18(1). https://doi.org/10.1371/journal.pone.0279693
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2023 | Datenpublikation | FH-PUB-ID: 2509
Jeckel, J., Thiele, C., Hirschfeld, G., Teismann, T., Schneider, S., & von Brachel, R. (2023). Better safe than sorry. A systematic review of monitoring for negative effects in preregistrations of psychological interventions. FH Bielefeld. https://doi.org/10.5281/zenodo.7595759
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| DOI
2022 | Artikel | FH-PUB-ID: 1970 |
Thiele, C., & Hirschfeld, G. (2022). Registration quality and availability of publications for clinical trials in Germany and the influence of structural factors. PLOS ONE, 17(5). https://doi.org/10.1371/journal.pone.0267883
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2021 | Artikel | FH-PUB-ID: 1479
von Glischinski, M., von Brachel, R., Thiele, C., & Hirschfeld, G. (2021). Not sad enough for a depression trial? A systematic review of depression measures and cut points in clinical trial registrations. Journal of Affective Disorders, 292, 36–44. https://doi.org/10.1016/j.jad.2021.05.041
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1482
Thiele, C., Hirschfeld, G., & von Brachel, R. (2021). Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries. Scientometrics. https://doi.org/10.1007/s11192-021-04111-w
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1483
Thiele, C., & Hirschfeld, G. (2021). Cutpointr: Improved Estimation and Validation of Optimal Cutpoints in . Journal of Statistical Software, 98(11). https://doi.org/10.18637/jss.v098.i11
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1042
Hirschfeld, G., von Brachel, R., & Thiele, C. (2020). Screening for health-related quality of lifein children and adolescents: Optimal cut points for the KIDSCREEN-10 for epidemiologicalstudies. Quality of Life Research, 29(2), 529–536. https://doi.org/10.1007/s11136-019-02324-4
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1040
Hirschfeld, G., von Glischinski, M., & Thiele, C. (2020). Optimal Cycle Thresholds for Coronavirus Disease 2019 (COVID-19) Screening—Receiver Operating Characteristic (ROC)-Based Methods Highlight Between-Study Differences. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciaa1883
HSBI-PUB
| DOI
2019 | Artikel | FH-PUB-ID: 518
Thiele, C., & Hirschfeld, G. (2019). Cloud-based simulation studies in R - A tutorial in using doRedis with Amazon spot fleets. Statistics in Medicine, 1–13. https://doi.org/10.1002/sim.8188
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11 Publikationen
2024 | Artikel | FH-PUB-ID: 4522
Tsze, D. S., Thiele, C., Hirschfeld, G., & Dayan, P. S. (2024). Clinically significant differences in self‐reported pain scores in children with headaches. Academic Emergency Medicine. https://doi.org/10.1111/acem.14879
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 4328 |
Thiele, C., & Hirschfeld, G. (2023). An observational study on the adherence to study registrations in German interventional and observational studies from various fields. PeerJ, 11. https://doi.org/10.7717/peerj.16015
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 2505 |
Thiele, C., & Hirschfeld, G. (2023). Confidence intervals and sample size planning for optimal cutpoints. PLOS ONE, 18(1). https://doi.org/10.1371/journal.pone.0279693
HSBI-PUB
| DOI
| Download (ext.)
2023 | Datenpublikation | FH-PUB-ID: 2509
Jeckel, J., Thiele, C., Hirschfeld, G., Teismann, T., Schneider, S., & von Brachel, R. (2023). Better safe than sorry. A systematic review of monitoring for negative effects in preregistrations of psychological interventions. FH Bielefeld. https://doi.org/10.5281/zenodo.7595759
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 1970 |
Thiele, C., & Hirschfeld, G. (2022). Registration quality and availability of publications for clinical trials in Germany and the influence of structural factors. PLOS ONE, 17(5). https://doi.org/10.1371/journal.pone.0267883
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 1479
von Glischinski, M., von Brachel, R., Thiele, C., & Hirschfeld, G. (2021). Not sad enough for a depression trial? A systematic review of depression measures and cut points in clinical trial registrations. Journal of Affective Disorders, 292, 36–44. https://doi.org/10.1016/j.jad.2021.05.041
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1482
Thiele, C., Hirschfeld, G., & von Brachel, R. (2021). Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries. Scientometrics. https://doi.org/10.1007/s11192-021-04111-w
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1483
Thiele, C., & Hirschfeld, G. (2021). Cutpointr: Improved Estimation and Validation of Optimal Cutpoints in . Journal of Statistical Software, 98(11). https://doi.org/10.18637/jss.v098.i11
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1042
Hirschfeld, G., von Brachel, R., & Thiele, C. (2020). Screening for health-related quality of lifein children and adolescents: Optimal cut points for the KIDSCREEN-10 for epidemiologicalstudies. Quality of Life Research, 29(2), 529–536. https://doi.org/10.1007/s11136-019-02324-4
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1040
Hirschfeld, G., von Glischinski, M., & Thiele, C. (2020). Optimal Cycle Thresholds for Coronavirus Disease 2019 (COVID-19) Screening—Receiver Operating Characteristic (ROC)-Based Methods Highlight Between-Study Differences. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciaa1883
HSBI-PUB
| DOI
2019 | Artikel | FH-PUB-ID: 518
Thiele, C., & Hirschfeld, G. (2019). Cloud-based simulation studies in R - A tutorial in using doRedis with Amazon spot fleets. Statistics in Medicine, 1–13. https://doi.org/10.1002/sim.8188
HSBI-PUB
| DOI