Budde, M., Friedrichs, S., Alliey-Rodriguez, N., Ament, S., Badner, J. A., Berrettini, W. H., Bloss, C. S., Byerley, W., Cichon, S., Comes, A. L., Coryell, W., Craig, D. W., Degenhardt, F., Edenberg, H. J., Foroud, T., Forstner, A. J., Frank, J., Gershon, E. S., Goes, F. S. ... Malzahn, D. (2019). Efficient region-based test strategy uncovers genetic risk factors for functional outcome in bipolar disorder. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology, 29(1), 156-170. https://doi.org/10.1016/j.euroneuro.2018.10.005

Keller, A., Frederiksen, P., Händel, M. N., Jacobsen, R., McGrath, J. J., Cohen, A. S. & Heitmann, B. L. (2019). Environmental and individual predictors of 25-hydroxyvitamin D concentrations in Denmark measured from neonatal dried blood spots: The D-tect study. British Journal of Nutrition, 121(5), 567-575. https://doi.org/10.1017/S0007114518003604

Khan, A., Plana-Ripoll, O., Antonsen, S., Brandt, J., Geels, C., Landecker, H., Sullivan, P. F., Pedersen, C. B. & Rzhetsky, A. (2019). Environmental pollution is associated with increased risk of psychiatric disorders in the US and Denmark. P L o S Biology (Online), 17(8), 3000353. https://doi.org/10.1371/journal.pbio.3000353

Dreier, J. W., Li, J., Sun, Y. & Christensen, J. (2019). Evaluation of Long-term Risk of Epilepsy, Psychiatric Disorders, and Mortality Among Children With Recurrent Febrile Seizures: A National Cohort Study in Denmark. JAMA Pediatrics, 173(12), 1164-1170. https://doi.org/10.1001/jamapediatrics.2019.3343

Rimvall, M. K., Gundersen, S., Clemmensen, L., Munkholm, A., Larsen, J. T., Skovgaard, A. M., Rask, C. U., Verhulst, F., van Os, J. & Jeppesen, P. (2019). Evidence that self-reported psychotic experiences in children are clinically relevant. Schizophrenia Research, 204, 415-416. https://doi.org/10.1016/j.schres.2018.08.003

Buccioli, A., Kokholm, T. & Nicolosi, M. (2019). Expected Shortfall and Portfolio Management in Contagious Markets. Journal of Banking & Finance, 102(May), 100-115. https://doi.org/10.1016/j.jbankfin.2019.03.003

Plana-Ripoll, O., Pedersen, C. B., Holtz, Y., Benros, M. E., Dalsgaard, S., de Jonge, P., Fan, C. C., Degenhardt, L., Ganna, A., Greve, A. N., Gunn, J., Iburg, K. M., Kessing, L. V., Lee, B. K., Lim, C. C. W., Mors, O., Nordentoft, M., Prior, A., Roest, A. M. ... McGrath, J. J. (2019). Exploring Comorbidity Within Mental Disorders Among a Danish National Population. J A M A Psychiatry, 76(3), 259-270. https://doi.org/10.1001/jamapsychiatry.2018.3658

Kruse, R. & Wegener, C. (2019). Explosive behaviour and long memory with an application to European bond yield spreads. Scottish Journal of Political Economy, 66(1), 139-153. https://doi.org/10.1111/sjpe.12179

Hansen, M. R. H., Jørs, E., Sandbæk, A., Kolstad, H. A., Schullehner, J. & Schlünssen, V. (2019). Exposure to neuroactive non-organochlorine insecticides, and diabetes mellitus and related metabolic disturbances: Protocol for a systematic review and meta-analysis. Environment International, 127, 664-670. https://doi.org/10.1016/j.envint.2019.02.074

Christoffersen, P., Lunde, A. & Olesen, K. V. (2019). Factor structure in commodity futures return and volatility. Journal of Financial and Quantitative Analysis, 54(3), 1083-1115. https://doi.org/10.1017/S0022109018000765

Xie, S., Karlsson, H., Dalman, C., Widman, L., Rai, D., Gardner, R. M., Magnusson, C., Schendel, D. E., Newschaffer, C. J. & Lee, B. K. (2019). Family History of Mental and Neurological Disorders and Risk of Autism. JAMA network open, 2(3), [190154]. https://doi.org/10.1001/jamanetworkopen.2019.0154

Laursen, L. L., Madsen, K. B., Obel, C. & Hohwü, L. (2019). Family dissolution and children's social well-being at school: A historic cohort study. B M C Pediatrics, 19(1), [449]. https://doi.org/10.1186/s12887-019-1821-z

Roodman, G. D., MacKinnon, J. G., Nielsen, M. Ø. & Webb, M. D. (2019). Fast and wild: Bootstrap inference in Stata using boottest. Stata Journal, 19, 4-60.

Catania, L., Grassi, S. & Ravazzolo, F. (2019). Forecasting Cryptocurrencies Under Model and Parameter Instability. International Journal of Forecasting, 35(2), 485-501. https://doi.org/10.1016/j.ijforecast.2018.09.005

Kjærgaard, S., Ergemen, Y. E., Kallestrup-Lamb, M., Oeppen, J. & Lindahl-Jacobsen, R. (2019). Forecasting causes of death by using compositional data analysis: the case of cancer deaths. Journal of the Royal Statistical Society, Series C (Applied Statistics), 68(5), 1351-1370. https://doi.org/10.1111/rssc.12357

Gorgi, P., Koopman, S. J. & Li, M. (2019). Forecasting economic time series using score-driven dynamic models with mixed-data sampling. International Journal of Forecasting, 35(4), 1735-1747. https://doi.org/10.1016/j.ijforecast.2018.11.005

Koopman, S. J. & Lit, R. (2019). Forecasting football match results in national league competitions using score-driven time series models. International Journal of Forecasting, 35(2), 797-809. https://doi.org/10.1016/j.ijforecast.2018.10.011

Koch, M. & Smolka, M. (2019). Foreign Ownership and Skill-biased Technological Change. Journal of International Economics, 118(May), 84-104. https://doi.org/10.1016/j.jinteco.2019.01.017

Bukh, P. N. & Christensen, K. S. (2019). Fremtidens økonomistyring er effektbaseret. Administrativ Debat, (januar), 23-26.

Mullins, N., Bigdeli, T. B., Børglum, A. D., Coleman, J. R. I., Demontis, D., Mehta, D., Power, R. A., Ripke, S., Stahl, E. A., Starnawska, A., Anjorin, A., Corvin, A., Sanders, A. R., Forstner, A. J., Reif, A., Koller, A. C., Tkowska, B. S., Baune, B. T., Müller-Myhsok, B. ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium (2019). GWAS of suicide attempt in psychiatric disorders and association with major depression polygenic risk scores. American Journal of Psychiatry, 176(8), 651-660. https://doi.org/10.1176/appi.ajp.2019.18080957

Boschini, A., Dreber, A., von Essen, E., Muren, A. & Ranehill, E. (2019). Gender, risk preferences and willingness to compete in a random sample of the Swedish population^✰. Journal of Behavioral and Experimental Economics, 83, [101467]. https://doi.org/10.1016/j.socec.2019.101467

Huckins, L. M., Dobbyn, A., Ruderfer, D. M., Hoffman, G., Wang, W., Pardiñas, A. F., Rajagopal, V. M., Als, T. D., T Nguyen, H., Girdhar, K., Boocock, J., Roussos, P., Fromer, M., Kramer, R., Domenici, E., Gamazon, E. R., Purcell, S., Demontis, D., Børglum, A. D. ... iPSYCH-GEMS Schizophrenia Working Group (2019). Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature Genetics, 51(4), 659-674. https://doi.org/10.1038/s41588-019-0364-4

Fentz, H. N., Simonsen, M. & Trillingsgaard, T. (2019). General, interpersonal, and gender role specific risk factors of postpartum depressive symptoms in fathers. Journal of Social and Clinical Psychology, 38(7), 545-567. https://doi.org/10.1521/jscp.2019.38.7.545

Catania, L., Ardia, D. & Boudt, K. (2019). Generalized Autoregressive Score Models in R: The GAS Package. Journal of Statistical Software, 88(6). https://doi.org/10.18637/jss.v088.i06

Proietti, T. & Luati, A. (2019). Generalized linear cepstral models for the spectrum of a time series. Statistica Sinica, 29(3), 1561-1583. https://doi.org/10.5705/ss.202017.0322

Wulff, J. (2019). Generalized two-part fractional regression with cmp. Stata Journal, 19(2), 375–389. https://doi.org/10.1177/1536867X19854017

Drange, O. K., Smeland, O. B., Shadrin, A. A., Finseth, P. I., Witoelar, A., Frei, O., Psychiat Genomics Consortium Bipol, Wang, Y., Hassani, S., Djurovic, S., Dale, A. M. & Andreassen, O. A. (2019). Genetic Overlap Between Alzheimer's Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes. Frontiers in Neuroscience, 13, [220]. https://doi.org/10.3389/fnins.2019.00220

Meier, S. M., Trontti, K., Purves, K. L., Als, T. D., Grove, J., Laine, M., Pedersen, M. G., Bybjerg-Grauholm, J., Bækved-Hansen, M., Sokolowska, E., Mortensen, P. B., Hougaard, D. M., Werge, T., Nordentoft, M., Breen, G., Børglum, A. D., Eley, T. C., Hovatta, I., Mattheisen, M. & Mors, O. (2019). Genetic Variants Associated With Anxiety and Stress-Related Disorders: A Genome-Wide Association Study and Mouse-Model Study. J A M A Psychiatry, 76(9), 924-932. https://doi.org/10.1001/jamapsychiatry.2019.1119

Hübel, C., Gaspar, H. A., Coleman, J. R. I., Hanscombe, K. B., Purves, K., Prokopenko, I., Graff, M., Ngwa, J. S., Workalemahu, T., O’Reilly, P. F., Bulik, C. M., Breen, G., ADHD Working Group of the Psychiatric Genomics Consortium, Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Autism Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, OCD & Tourette Syndrome Working Group of the Psychiatric Genomics Consortium ... International Headache Genetics Consortium (2019). Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. Nature Communications, 10(1), [5765]. https://doi.org/10.1038/s41467-019-13544-0

Bauer, A. E., Liu, X., Byrne, E. M., Sullivan, P. F., Wray, N. R., Agerbo, E., Nyegaard, M., Grove, J., Musliner, K. L., Ingstrup, K. G., Johannsen, B. M. W., Mægbæk, M. L., Wang, Y., Nordentoft, M., Mors, O., Børglum, A. D., Werge, T., Hougaard, D. M., Mortensen, P. B. ... Meltzer-Brody, S. (2019). Genetic risk scores for major psychiatric disorders and the risk of postpartum psychiatric disorders. Translational Psychiatry, 9(1), 288. https://doi.org/10.1038/s41398-019-0629-9

Stahl, E. A., Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., Mattheisen, M., Wang, Y., Coleman, J. R. I., Gaspar, H. A., de Leeuw, C. A., Steinberg, S., Pavlides, J. M. W., Trzaskowski, M., Byrne, E. M., Pers, T. H., Holmans, P. A., Richards, A. L., Abbott, L. ... eQTLGen Consortium (2019). Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51(5), 793-803. https://doi.org/10.1038/s41588-019-0397-8

Anorexia Nervosa Genetics Initiative (2019). Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nature Genetics, 51(8), 1207-1214. https://doi.org/10.1038/s41588-019-0439-2