Dr. Florian Meinfelder (Academical Councillor)

Consultation-hours: 

• In summer term 2012: Mon, 14:00 - 15:00 o'clock and on appointment
• In semester break only on appointment

Courses in summer term 2012: 

• BS Handling of Missing Data in Surveys (Seminar Behandlung fehlender Werte in Erhebungen)
• Lecture Statistical Methods I ( Vorlesung zu Methoden der Statistik I, induktive Statistik)
• Lecture Calibration Methods and Weighting (Vorlesung zu Kalibrierungsmethoden und Gewichtung)
• Lecture Variance Estimation Techniques (Vorlesung zu Varianzschätzmethoden)

Research interests:  

• Data analysis with missing values
• Empirical Bayes methods
• Nearest-Neighbour-Algorithms

Monographs:

• Koller-Meinfelder, F. (2001). Multiple Ergänzung im Rahmen des
  Fragebogensplittings, Diplomarbeit, Friedrich-Alexander-Universität Erlangen-Nürnberg.
• Koller-Meinfelder, F. (2009). Analysis of Incomplete Survey Data - Multiple Imputation via Bayesian Bootstrap Predictive Mean Matching, Dissertation, Otto-Friedrich-Universität Bamberg.

Publications:

• Rässler, S., Koller, F., Mäenpää, C. (2002). A Split Questionnaire Survey Design applied to German Media and Consumer Surveys, Proceedings of the International Conference on Improving Surveys, ICIS 2002, Copenhagen.
• Koller, F. (2006). Getting the most from auxiliary information in personal interviews, White Paper, Institute for Social Research, University of Michigan.
• Koller-Meinfelder, F., Raghunathan, T.E., Rässler, S. (2008). Strategies for Multiply Imputing Missing Integer Values or Rounded Variables, eingereicht bei “Survey Methodology”.
• Koller-Meinfelder, F. (2009). Fragebogensplitting – Reduzierung der Antwortbelastung durch Datenergänzung, erschienen in Schnapp, .K.-U., Behnke, N., Behnke, J. "Datenwelten – Datenerhebung und Datenbestände in der Politikwissenschaft", Nomos-Verlag, Baden-Baden, S.152-173.

Lectures/ talks:

• A Split Questionnaire Survey Design applied to German Media and Consumer Surveys. ICIS (International Conference on Improving Surveys), Kopenhagen, 2002.
• In-In Data Fusion in Switzerland, GfK Media’s Integrated Intelligence Meeting, Wien, 2003.
• Evaluation Problems of Data Imputation Techniques, International Meeting of GfK Statisticians and Methodology Experts (IMSM), Nürnberg, 2003.
• Robustifying imputation model estimation. International Conference on Logic and Methodology (RC 33), Amsterdam, 2004.
• Correcting for zero-probability measures: A Multiple Imputation experimental design. International Meeting of GfK Statisticians and Methodology Experts (IMSM), Kopenhagen, 2005.
• Sequential Predictive Mean Matching Method of Multiple Imputation. Joint Statistical Meeting (JSM) of the American Statistical Association, Minneapolis, 2005.
• Causal Inference for TV Trailer Contacts. International Meeting of GfK Statisticians and Methodology Experts (IMSM), Haarlem, 2006.
• Datenfusionen als Hilfsmittel der Mediaoptimierung. 2. Workshop des Medienwissenschaftlichen Lehr- und Forschungszentrums (MLFZ), Köln, 2007.
• You fuse, they lose! – Why data fusion has caught on. GfK Media Summit, New York, 2008.
• Multiple Imputation for Descrete Survey Data. 2^nd Workshop on "Analysis of Incomplete Data" (AID), Bamberg, 02.10.2009.
• Multiple imputation for discrete survey data – the Bayesian Bootstrap Predictive Mean Matching. EAM-SMABS IV European Congress of Methodology, Potsdam, 23.07.2010.
• Multiple imputation for discrete survey data-the Bayesian Bootstrap Predictive Mean Matching. Statistische Woche der Deutschen Statistischen Gesellschaft, Nürnberg, 17.09.2010.