| Mitigation and herd immunity strategy for COVID-19 is likely to fail B Adamik, M Bawiec, V Bezborodov, W Bock, M Bodych, JP Burgard, ... MedRxiv, 2020 | 54 | 2020 |
| Small area-statistik: methoden und anwendungen R Münnich, JP Burgard, M Vogt AStA Wirtschafts-und Sozialstatistisches Archiv 6 (3), 149-191, 2013 | 33 | 2013 |
| Synthetic data for open and reproducible methodological research in social sciences and official statistics JP Burgard, JP Kolb, H Merkle, R Münnich AStA Wirtschafts-und Sozialstatistisches Archiv 11 (3), 233-244, 2017 | 25 | 2017 |
| The impact of sampling designs on small area estimates for business data JP Burgard, R Münnich, T Zimmermann Journal of Official Statistics 30 (4), 749-771, 2014 | 25 | 2014 |
| A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Nature communications 12 (1), 1-16, 2021 | 23 | 2021 |
| Short-term forecasting of COVID-19 in Germany and Poland during the second wave–a preregistered study J Bracher, D Wolffram, J Deuschel, K Goergen, JL Ketterer, A Ullrich, ... medRxiv, 2020.12. 24.20248826, 2021 | 17 | 2021 |
| Modelling over and undercounts for design-based Monte Carlo studies in small area estimation: An application to the German register-assisted census JP Burgard, RT Münnich Computational Statistics & Data Analysis 56 (10), 2856-2863, 2012 | 17 | 2012 |
| On the influence of sampling design on small area estimates R Münnich, JP Burgard Journal of the Indian Society of Agricultural Statistics 66 (1), 145-156, 2012 | 17 | 2012 |
| A Fay–Herriot model when auxiliary variables are measured with error JP Burgard, MD Esteban, D Morales, A Pérez Test 29 (1), 166-195, 2020 | 15 | 2020 |
| The AMELI simulation study A Alfons, JP Burgard, P Filzmoser, B Hulliger, JP Kolb, S Kraft, R Münnich, ... Work-package of the European project on Advanced Methodology for European …, 2011 | 15 | 2011 |
| The AMELI Simulation Study. Research Project Report WP6–D6. 1 A Alfons, JP Burgard, P Filzmoser, B Hulliger, JP Kolb, S Kraft, R Münnich, ... Technical report, AMELI. URL http://ameli. surveystatistics. net, 2011 | 14 | 2011 |
| Gravity models in R AL Wölwer, M Breßlein, JP Burgard Austrian Journal of Statistics 47 (4), 16-35, 2018 | 13 | 2018 |
| Small area estimation for population counts in the German Census 2011 R Münnich, P Burgard, M Vogt Section on Survey Research Methods JSM, 2009 | 12 | 2009 |
| Schätzung kleinräumiger Krankheitshäufigkeiten für die deutsche Bevölkerung anhand von Routinedaten am Beispiel von Typ-2-Diabetes J Breitkreuz, G Brückner, JP Burgard, J Krause, R Münnich, H Schröder, ... AStA Wirtschafts-und Sozialstatistisches Archiv 13 (1), 35-72, 2019 | 10 | 2019 |
| Das Stichprobendesign des registergestützten Zensus 2011 R Münnich, S Gabler, M Ganninger, JP Burgard, JP Kolb Methoden, Daten, Analysen (mda) 5 (1), 37-61, 2011 | 10 | 2011 |
| Small area estimation under a measurement error bivariate Fay–Herriot model JP Burgard, MD Esteban, D Morales, A Pérez Statistical Methods & Applications 30 (1), 79-108, 2021 | 9 | 2021 |
| Evaluation of small area techniques for applications in official statistics JP Burgard | 9 | 2015 |
| Decomposition methods for robustified k-means clustering problems: If less conservative does not mean less bad JP Burgard, CM Costa, M Schmidt Tech. Rep, 2020 | 8 | 2020 |
| Regularized area-level modelling for robust small area estimation in the presence of unknown covariate measurement errors JP Burgard, J Krause, D Kreber Research Papers in Economics, 2019 | 8 | 2019 |
| Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail JP Burgard, J Krause, S Schmaus Computational Statistics & Data Analysis 154, 107048, 2021 | 7 | 2021 |
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