Selig, Katharina;Shaw, Pamela;Ankerst, Donna
Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models
The International Journal of Biostatistics
2020
17
2
241-266

Herkommer, Kathleen;Maier, Nikola;Ankerst, Donna P.;Schiele, Stefan;Gschwend, Jürgen E.;Meissner, Valentin H.
No detrimental effect of a positive family history on postoperative upgrading and upstaging in men with low risk and favourable intermediate-risk prostate cancer: implications for active surveillance
World Journal of Urology
2020
39
7
2499-2506

Saba, Karim;Wettstein, Marian S.;Lieger, Laura;Hötker, Andreas M.;Donati, Olivio F.;Moch, Holger;Ankerst, Donna P.;Poyet, Cédric;Sulser, Tullio;Eberli, Daniel;Mortezavi, Ashkan
External Validation and Comparison of Prostate Cancer Risk Calculators Incorporating Multiparametric Magnetic Resonance Imaging for Prediction of Clinically Significant Prostate Cancer
Journal of Urology
2020
203
4
719-726

Littmann, Maria;Selig, Katharina;Cohen-Lavi, Liel;Frank, Yotam;Hönigschmid, Peter;Kataka, Evans;Mösch, Anja;Qian, Kun;Ron, Avihai;Schmid, Sebastian;Sorbie, Adam;Szlak, Liran;Dagan-Wiener, Ayana;Ben-Tal, Nir;Niv, Masha Y.;Razansky, Daniel;Schuller, Björn W.;Ankerst, Donna;Hertz, Tomer;Rost, Burkhard
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise
Nature Machine Intelligence
2020
2
1
18-24

Schmidt, Melissa;Ankerst, Donna P.;Chen, Yiyao;Wiethaler, Maria;Slotta-Huspenina, Julia;Becker, Karl-Friedrich;Horstmann, Julia;Kohlmayer, Florian;Lehmann, Andreas;Linkohr, Birgit;Strauch, Konstantin;Schmid, Roland M.;Quante, Anne S.;Quante, Michael
Epidemiologic Risk Factors in a Comparison of a Barrett Esophagus Registry (BarrettNET) and a Case–Control Population in Germany
Cancer Prevention Research
2020
13
4
377-384