| Data-driven subtypes of major depressive disorder: a systematic review HM Van Loo, P De Jonge, JW Romeijn, RC Kessler, RA Schoevers BMC medicine 10, 1-12, 2012 | 402 | 2012 |
| Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports RC Kessler, HM van Loo, KJ Wardenaar, RM Bossarte, LA Brenner, T Cai, ... Molecular psychiatry 21 (10), 1366-1371, 2016 | 259 | 2016 |
| Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping L Beijers, KJ Wardenaar, HM van Loo, RA Schoevers Molecular psychiatry 24 (6), 888-900, 2019 | 187 | 2019 |
| Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder RC Kessler, HM Van Loo, KJ Wardenaar, RM Bossarte, LA Brenner, ... Epidemiology and psychiatric sciences 26 (1), 22-36, 2017 | 163 | 2017 |
| Psychiatric comorbidity: fact or artifact? HM Van Loo, JW Romeijn Theoretical Medicine and Bioethics 36, 41-60, 2015 | 111 | 2015 |
| MAJOR DEPRESSIVE DISORDER SUBTYPES TO PREDICT LONG‐TERM COURSE HM van Loo, T Cai, MJ Gruber, J Li, P Jonge, M Petukhova, S Rose, ... Depression and anxiety 31 (9), 765-777, 2014 | 77 | 2014 |
| Sex similarities and differences in risk factors for recurrence of major depression HM van Loo, SH Aggen, CO Gardner, KS Kendler Psychological medicine 48 (10), 1685-1693, 2018 | 57 | 2018 |
| Multiple risk factors predict recurrence of major depressive disorder in women HM van Loo, SH Aggen, CO Gardner, KS Kendler Journal of affective disorders 180, 52-61, 2015 | 50 | 2015 |
| Psychiatric comorbidity and causal disease models HM van Loo, JW Romeijn, P de Jonge, RA Schoevers Preventive medicine 57 (6), 748-752, 2013 | 50 | 2013 |
| Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk HM van Loo, CD Van Borkulo, RE Peterson, EI Fried, SH Aggen, ... Journal of affective disorders 227, 313-322, 2018 | 49 | 2018 |
| Predicting antidepressant response by monitoring early improvement of individual symptoms of depression: individual patient data meta-analysis YA de Vries, AM Roest, EH Bos, JGM Burgerhof, HM van Loo, P de Jonge The British Journal of Psychiatry 214 (1), 4-10, 2019 | 46 | 2019 |
| Casting wider nets for anxiety and depression: disability-driven cross-diagnostic subtypes in a large cohort RBK Wanders, HM Van Loo, JK Vermunt, RR Meijer, CA Hartman, ... Psychological medicine 46 (16), 3371-3382, 2016 | 40 | 2016 |
| The effects of co-morbidity in defining major depression subtypes associated with long-term course and severity KJ Wardenaar, HM van Loo, T Cai, M Fava, MJ Gruber, J Li, P de Jonge, ... Psychological medicine 44 (15), 3289-3302, 2014 | 38 | 2014 |
| Sex dependent risk factors for mortality after myocardial infarction: individual patient data meta-analysis HM Van Loo, ER Van Den Heuvel, RA Schoevers, M Anselmino, ... BMC medicine 12, 1-9, 2014 | 34 | 2014 |
| Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder. Epidemiology and Psychiatric Sciences, 26 (1), 22–36 RC Kessler, HM van Loo, KJ Wardenaar, RM Bossarte, LA Brenner, ... | 28 | 2017 |
| Problems with latent class analysis to detect data-driven subtypes of depression HM van Loo, RBK Wanders, KJ Wardenaar, EI Fried Molecular psychiatry 23 (3), 495-496, 2018 | 24 | 2018 |
| Prevalence of internalizing disorders, symptoms, and traits across age using advanced nonlinear models HM van Loo, L Beijers, M Wieling, TR de Jong, RA Schoevers, ... Psychological medicine 53 (1), 78-87, 2023 | 23 | 2023 |
| Psychiatric comorbidity does not only depend on diagnostic thresholds: an illustration with major depressive disorder and generalized anxiety disorder HM van Loo, RA Schoevers, KS Kendler, P Jonge, JW Romeijn Depression and anxiety 33 (2), 143-152, 2016 | 23 | 2016 |
| Loneliness associates strongly with anxiety and depression during the COVID pandemic, especially in men and younger adults OD Steen, APS Ori, KJ Wardenaar, HM van Loo Scientific Reports 12 (1), 9517, 2022 | 20 | 2022 |
| Data mining algorithm predicts a range of adverse outcomes in major depression HM van Loo, TB Bigdeli, Y Milaneschi, SH Aggen, KS Kendler Journal of Affective Disorders 276, 945-953, 2020 | 18 | 2020 |
schoevers r*University Medical Center GroningenVerified email at umcg.nl
