Aßmann, C., & Bergrab, M. (2024). Automated Bayesian variable selection methods for binary regression models with missing covariate datas. AStA Wirtschafts- und Sozialstatistisches Archiv, 18, 203–244. https://doi.org/10.1007/s11943-024-00345-1

Aßmann, C., Boysen-Hogrefe, J., & Pape, M. (2023). Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions. AStA Advances in Statistical Analysis. Advance online publication. https://doi.org/10.1007/s10182-023-00489-5

Aßmann, C., Gaasch, J.-C., & Stingl, D. (2022). A Bayesian approach towards missing covariate data in multilevel latent regression models. Psychometrika. Advance online publication. https://doi.org/10.1007/s11336-022-09888-0

Aßmann, C., Landrock, U., & Würbach, A. (2022). Ein Blick aus vielen Perspektiven: Was längsschnittliche Studien wie das Nationale Bildungspanel (NEPS) bei der Analyse von Übergängen leisten. SchulVerwaltung spezial, (5), 202 - 205.

Aßmann, C., Boysen-Hogrefe, J., & Pape, M. (2021). Bayesian analysis of reduced rank regression models using post-processing (SFB 823 Discussion Paper No. 13). TU Dort­mund Uni­ver­sity. https://doi.org/10.17877/DE290R-22158

Hermanussen, M., Aßmann, C., & Groth, D. (2021). Chain reversion for detecting associations in interacting variables - St. Nicolas house analysis. International Journal of Environmental Research and Public Health, 18(4), Article 1741. https://doi.org/10.3390/ijerph18041741

Aßmann, C. (2020). Bayesian estimation of latent factor models.

Sixt, M., & Aßmann, C. (2020). The influence of regional school infrastructure and labor market conditions on the transition process to secondary schooling in Germany. Journal of Educational Research Online, 12(2), 36-66. https://www.waxmann.com/ausgabeAUG100388

Aßmann, C., Steinhauer, H. W., Würbach, A., Zinn, S., Hammon, A., Kiesl, H., Rohwer, G., Rässler, S., & Blossfeld, H.-P. (2019). Sampling designs of the National Educational Panel Study: Setup and panel development. In H.-P. Blossfeld, & H.-G. Roßbach (Hrsg.), Education as a lifelong process (S. 35–55). Springer VS. https://doi.org/10.1007/978-3-658-23162-0_3

Henning, C., Aßmann, C., Hedtrich, J., Ehrenfels, J., & Krampe, E. (2019). What drives participatory policy processes: Grassroot activities, scientific knowledge or donor money? A comparative policy network approach. Social Networks, 58, 78-104. https://doi.org/10.1016/j.socnet.2019.03.001

Mumm, R., & Aßmann, C. (2018). Community-based clustering of height in Ethiopia, India, Peru, and Vietnam. American Journal of Physical Anthropology, 167, 272–281. https://doi.org/10.1002/ajpa.23623

Steinhauer, H. W., & Aßmann, C. (2018). Modelling nonresponse in educational multi-informant studies: A multilevel approach using bivariate probit models (LIfBi Working Paper No. 74). Leibniz Institute for Educational Trajectories. https://www.lifbi.de/Portals/2/Working%20Papers/WP_LXXIV.pdf

Aßmann, C., Würbach, A., Goßmann, S., Geißler, F., & Bela, A. (2017). Nonparametric multiple imputation for questionnaires with individual skip patterns and constraints: The case of income imputation in the National Educational Panel Study. Sociological Methods & Research, 46(4), 864-897. https://doi.org/10.1177/0049124115610346

Kärner, T., Sembill, D., Aßmann, C., Friederichs, E., & Carstensen, C. H. (2017). Analysis of person-situation interactions in educational settings via cross-classified multilevel longitudinal modelling: Illustrated with the example of students’ stress experience. Frontline Learning Research, 5(1), 16-42. https://doi.org/10.14786/flr.v5i1.137

Zinn, S., Steinhauer, H. W., & Aßmann, C. (2017). Samples, weights, and nonresponse: The student sample of the National Educational Panel Study (wave 1 to 8) (NEPS Survey Paper No. 18). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP18:1.0

Aßmann, C. (2016). Multiple imputation as one tool to provide longitudinal databases for modelling human height and weight development. European Journal of Clinical Nutrition, 70(6), 653-655. https://doi.org/10.1038/ejcn.2016.22

Aßmann, C., Boysen-Hogrefe, J., & Pape, M. (2016). Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem. Journal of Econometrics, 192(1), 190-206. https://doi.org/10.1016/j.jeconom.2015.10.010

Aßmann, C., Gaasch, C., Pohl, S., & Carstensen, C. H. (2016). Estimation of plausible values considering partially missing background information: A data augmented MCMC approach. In H.-P. Blossfeld, J. von Maurice, M. Bayer, & J. Skopek (Eds.), Methodological Issues of Longitudinal Surveys: The Example of the National Educational Panel Study (pp. 503–521). Springer VS. https://doi.org/10.1007/978-3-658-11994-2_28

Hammon, A., Zinn, S., Aßmann, C., & Würbach, A. (2016). Samples, weights and nonresponse: The Adult Cohort of the National Educational Panel Study (Wave 2 to 6) (NEPS Survey Paper No. 7). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP07:1.0

Hermanussen, M., Aßmann, C., Staub, K., & Groth, D. (2016). Monte Carlo simulation of body height in a spatial network. European Journal of Clinical Nutrition, 70(6), 671–678. https://doi.org/10.1038/ejcn.2016.71

Hermanussen, M., Stec, K., Aßmann, C., Meigen, C., & van Buuren, S. (2016). Synthetic growth reference charts. American Journal of Human Biology, 28(1), 98-111. https://doi.org/10.1002/ajhb.22759

Ipsen, J., Nowak-Szczepanska, N., Gomula, A., Aßmann, C., & Hermanussen, M. (2016). The association of body height, height variability and inequality. Anthropologischer Anzeiger, 73(1), 1-6. https://doi.org/10.1127/anthranz/2015/0623

Preising, M., Suchomlinov, A., Tutkuviene, J., & Aßmann, C. (2016). Modelling human height and weight: A Bayesian approach towards model comparison. European Journal of Clinical Nutrition, 70(6), 656-661. https://doi.org/10.1038/ejcn.2016.23

Steinhauer, H. W., Zinn, S., & Aßmann, C. (2016). Weighting panel cohorts in institutional contexts. In H.-P. Blossfeld, J. von Maurice, M. Bayer, & J. Skopek (Hrsg.), Methodological issues of longitudinal surveys: The example of the National Educational Panel Study (S. 39-62). Springer VS. https://doi.org/10.1007/978-3-658-11994-2_3

Suchomlinov, A., Cerskus, G., Kolosov, A., Rakita, I., Aßmann, C., Jakimaviciene, E., & Tutkuviene, J. (2016). Increasing prevalence of overweight and obesity among children in Vilnius, Lithuania: Comparison of two longitudinal data sets of children born in 1990 and 1996. Anthropologischer Anzeiger, 73(3), 177-185. https://doi.org/10.1127/anthranz/2016/0634

Würbach, A., Zinn, S., & Aßmann, C. (2016). Samples, weights and nonresponse: The early childhood cohort of the National Educational Panel Study (Wave 1 to 3) (NEPS Survey Paper No. 8). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP08:1.0

Aßmann, C., Gaasch, C., Pohl, S., & Carstensen, C. H. (2015). Bayesian estimation in IRT models with missing values in background variables. Psychological Test and Assessment Modeling, 57(4), 595-618. http://www.psychologie-aktuell.com/fileadmin/download/ptam/4-2015_20151218/08_Assmann.pdf

Aßmann, C., Zinn, S., & Würbach, A. (2015). Sampling and weighting the sample of the early childhood cohort of the National Educational Panel Study (Waves 1 and 2): Technical Report on SUF SC1 Version 2-0-0. https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC1/2-0-0/SC1-2-0-0_Weighting.pdf

Bahrami, S., Aßmann, C., Meinfelder, F., & Rässler, S. (2015). A split questionnaire survey design for data with block structure correlation matrix. In U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, & P. Sturgis (Hrsg.), Improving survey methods: Lessons from recent research (S. 368–380). Routledge.

Bogin, B., Hermanussen, M., Blum, W., & Aßmann, C. (2015). Sex, sport, IGF-1 and the community effect in height hypothesis. International Journal of Environmental Research and Public Health, 12(5), 4816–4832. https://doi.org/10.3390/ijerph120504816

Hermanussen, M., Scheffler, C., Groth, D., & Aßmann, C. (2015). Height and skeletal morphology in relation to modern life style. Journal of Physiological Anthropology, 34(41), 1-5. https://doi.org/10.1186/s40101-015-0080-4

Steinhauer, H. W., Aßmann, C., Zinn, S., Goßmann, S., & Rässler, S. (2015). Sampling and weighting cohort samples in institutional contexts: The National Educational Panel Study cohort samples of Kindergarten children, students in Grade 5 and in Grade 9. AStA Wirtschafts- und Sozialstatistisches Archiv, 9(2), 131–157. https://doi.org/10.1007/s11943-015-0162-0

Zinn, S., Aßmann, C., & Würbach, A. (2015). Sampling and weighting the sample of the adult cohort of the National Educational Panel Study (wave 2 to 5): Technical Report on SUF SC6 Version 5.0.0 (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories. https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC6/5-0-0/SC6_W_5-0-0_en.pdf

Aßmann, C., Carstensen, C. H., Gaasch, C., & Pohl, S. (2014). Estimation of plausible values using background variables with missing values: A data augmented MCMC approach (NEPS Working Paper No. 38). Leibniz Institute for Educational Trajectories. https://doi.org/10.5157/NEPS:WP38:1.0

Aßmann, C., Goßmann, S., & Schönberger, B. (2014). Bayesian analysis of binary panel probit models: The case of measurement error and missing values in explaining factors (NEPS Working Paper No. 35). Leibniz Institute for Educational Trajectories. https://www.lifbi.de/Portals/2/Working%20Papers/WP_XXXV.pdf

Aßmann, C., Würbach, A., Goßmann, S., Geißler, F., & Biedermann, A. (2014). A nonparametic multiple imputation approach for multilevel filtered questionnaires (NEPS Working Paper No. 36). Leibniz Institute for Educational Trajectories. https://www.lifbi.de/Portals/2/Working%20Papers/WP_XXXVI.pdf

Hermanussen, M., Alt, C., Staub, K., Aßmann, C., & Groth, D. (2014). The impact of physical connectedness on body height in Swiss conscripts. Journal of Biological and Clinical Anthropology, 71(4), 313–327. https://doi.org/10.1127/0003-5548/2014/0466

Hermanussen, M., Aßmann, C., Groth, D., & Staub, K. (2014). Final height, target height and the community. Georgian Medical News, 5(230), 30–34.

Hermanussen, M., Meitinger, T., Veldhuis, J. D., Low, M., Pfäffle, R., Staub, K., Panczak, R., Groth, D., Brabec, M., Salisch, M. v., Loh, C.-P. A., Tassenaar, V., Scheffler, C., Mumm, R., Godina, E., Lehmann, A., Tutkuviene, J., Gervickaite, S., Nierop, A. F., . . . Bogin, B. (2014). Adolescent growth: Genes, hormones and the peer group. Proceedings of the 20th Aschauer Soiree, held at Glücksburg castle, Germany, 15th to 17th November 2013. Pediatric endocrinology reviews, 11(3), 341–353. http://www.stefvanbuuren.nl/publications/2014%20Adolescent%20growth%20-%20Pediatr%20Endocrinol%20Rev.pdf

Aßmann, C., Steinhauer, H. W., Zinn, S., & Goßmann, S. (2013). Sampling and weighting the kindergarten cohort sample of the National Educational Panel Study (NEPS Working Paper No. 29). University of Bamberg. https://doi.org/10.5157/NEPS:WP29:1.0

Bäumer, T., Aßmann, C., von Maurice, J., & Blossfeld, H.-P. (2013). Möglichkeiten der Analyse von Kontexteffekten im Rahmen des Nationalen Bildungspanels. In R. Becker, & A. Schulze (Hrsg.), Bildungskontexte: Strukturelle Voraussetzungen und Ursachen ungleicher Bildungschancen (S. 61–83). Springer VS. https://doi.org/10.1007/978-3-531-18985-7_3

Aßmann, C., Steinhauer, H. W., & Rässler, S. (2012). Aspekte der Stichprobenziehung in der erziehungswissenschaftlichen Forschung. In S. Maschke, & L. Stecher (Hrsg.), Enzyklopädie der Erziehungswissenschaften Online: Methoden der empirischen erziehungswissenschaftlichen Forschung (S. 1-15). Beltz Juventa. https://doi.org/10.3262/EEO07120215

Aßmann, C., Steinhauer, H. W., Kiesl, H., Koch, S., Schönberger, B., Müller-Kuller, A., Rohwer, G., Rässler, S., & Blossfeld, H.-P. (2011). Sampling designs of the National Educational Panel Study: Challenges and solutions. In H.-P. Blossfeld, H.-G. Roßbach, & J. von Maurice (Hrsg.), Education as a lifelong process: The German National Educational Panel Study (NEPS) (14, S. 51–65). Springer VS. https://doi.org/10.1007/s11618-011-0181-8

Aßmann, C. (2009). An empirical analysis of current account data.