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In the analysis of data, success is defined by many facets.

Business Successes

2015 Insurance in the Cologne / Düsseldorf area (cont.)

  • Tasks and Achievements (selection): (1) Elected member of team to design and implement a strategic cancellation early warning system (Stornofrühwarnsystem) based on data mining (SAS EM). (2) Back-testing of predicted sales values to actual occurring events in proof of concept (e.g. by ASEs, ROCs, binning and lift charts). Transformation of PoC results into Business Case. Computation of several KPIs incl. added wins and saved investment. Risk analysis of various scenarios of sustainability of customer investment. BC achieved GO from top management. Developed several models totaling up to 10-12.5 millions € (wins) or 5 millions € (savings). (3) Reverse engineering of strategic business reporting system for sales force: Porting (migration) of dysfunctional ETL and analysis programs (SPSS) into a high-performance SAS version, while debugging, tuning and enhancing on-the-fly. (4) Fraud detection: Identify fraudulent insurance agencies e.g. by detecting fake address data or pattern analysis of contract shifting. (5) Support the evaluation of the on-site Customer Contact Management by sampling, ETL, and export of contact data of cases and controls to host (TSO), SAS and EXCEL according to specification.
  • Languages: SAS Base, SAS Macro Facility, PROC SQL; SAS/STAT, SAS/GRAPH; Tools: SASv9.3, Enterprise Guide 5.1/6.1, Enterprise Miner 12.1
  • Environment: Complex. Host (z/OS), Citrix, Windows. Data volume: 75+ / 7,5e+7 million data rows.

2014 Insurance in the Cologne / Düsseldorf area (Germany)

  • Tasks and Achievements: (1) Support concern development by analysis of bonus program for preferred insurance portfolios, e.g. ABC, top client, and insurance classes, also on organizational level (unit, distribution channels, prior year). (2) Selection and random sampling of customer data according to specifications for a partner mailing incl. technical and statistical documentation. (3) Others: (i.) Multi-layered random-based anonymization of SAS datasets. (ii.) Phonetics-based merging of customer data from multiple SAS sources using a Fuzzy Match. (iii.) Implementation of top client key in host (TSO) and in all end systems including communication, test, acceptance and documentation of the various organizational, technical and personal interfaces. (iv.) Transfer of functionalities of Enterprise Guide/Miner projects into SAS batch code, and vice versa.
  • Languages: SAS Base, SAS Macro Facility, PROC SQL; SAS/STAT, SAS/GRAPH; Tools: SASv9.3, Enterprise Guide 5.1/6.1, Enterprise Miner 12.1
  • Environment: Complex. Host (z/OS), Citrix, Windows.

Pharma Intelligence company in Frankfurt area (Germany)

  • Task and Achievements: Developing, testing and running SAS programs for statistical analysis of pharmaceutical data from the diabetes area. Scientific consultancy includes statistical analysis, development and testing of complex ETL routines to access, process, and analyse data from different sources and formats, diabetes-related input from studies monitored in the past for international meetings, monitoring of quality of third-party data deliveries including intervention to protect client from dirty data, evaluation of third-party SAS program performance, and if necessary trouble-shooting and tuning of these SAS programs accordingly. SAS programming was done according SOP BIO5 (KKS), validation of the SAS programs according SOP BIO6 (KKS). Role was mainly programming without any job description, by informal "call".
  • Languages: SAS Base, SAS Macro Facility and PROC SQL.
  • Environment: SAS v9.3 on a Windows environment.

Insurance company in Munich area (Germany)

  • Role: "Task Force" (from System Analysis to Management Consulting)
  • Task and Achievements: A process in client’s enterprise-wide system seemed to lose more and more performance, reliability and stability. Initial priority responsibility was to analyse possible causes of inhibiting this selected process, at first limited to analysing Korn shell scripts, SAS programs and macros. Analysis showed that the selected process was only a symptom, not the root cause. Role was extended to gather information about causes possibly threatening the whole system. Approaches involved identification and communication with stakeholders, gather and validate information, designing an Issue Map pinpointing threats and risks in the client’s system, and condensing complex information down to concise interim results presented to higher management. Methods applied were Business Analysis (Stakeholders Data Flows, OEs, etc.), Downtime Threat/Impact Analysis, Risk Analysis, Architectural Analysis, and Cost Estimates for Project Mgmt tackling identified issues for quick-wins. Responsibility shifted again to develop technical concept, road map, and project plan to stabilize the whole enterprise-wide system by also proposing a grand solution with sustainability provided by state-of-the-art hardware, software, and computing.
  • Environment: Complex. SAS v9.1.3 in programs, DB2 on host, files in EBCDIC and other formats, several systems for scheduling and transferring (UC4 etc.).
  • Successes: Positive feedback for doing a multi-faceted job in a fast-paced environment, solving some issues "on the fly", successful identifying threats (even unknown before), and communicating professionalism, perspectives, and confidence. Short-term "emergency" contract extended, further collaboration agreed.
  • Tools: i.a. SASv9.1.3, EGv4.2, MS Project v2013, MS Excel v2013, BIP (Batch Import Procedure) Tool v1.1.4, Alerting and Monitoring (AMT) Tool v1.6 (AZD)

Bank in Düsseldorf area (Germany)

  • Task and Achievements: Developing and testing of jobs and subjobs for ETL on SAS Data Integration Studio 4.3. Writing and testing SAS macros.
  • Tools and Environment: DIS 4.3, Toad 5.0, DB2, and UltraEdit. Citrix Environment.

2013 Insurance, Munich, Germany

  • Project: Project “Fusion” (working title).
  • Task: Developing and testing SAS macros for the comparison of tariffs of two acquired and merged insurance companies (BK, UKB). Programming and testing of complex ETL processes for analyses of development of insurance tariffs over time, probability to change insurance, and comparison of tariffs by gender, tariff, selected age, number of tariffs, average damage and complex other insurance-relevant requirements. Analysis involved so-called “Steuertabellen” (steering tables): Importing control tables, triggering complex ETL processes and analysis (nested loops), and exporting SAS results into user-defined EXCEL sheets on a fingertip. Programming with SAS Macro Facility and PROC SQL.
  • Achievements: Again, successful working in a SAS project without any job description, just by “call”, in a tight time frame (thus, working hours included several weekends). Results successfully validated and presented to BAFin.

2012 Zensus 2011, Düsseldorf, Germany

  • Task and Achievements: Adjustment of cells to projected margins for 1,440 communities in 65 model variants (volume: 5.5+ billion data rows), a total of 93.600 models and visualization of the numerous GoF parameters. The remaining procedure followed Bishop, Fienberg and Holland (2007): Model pre-selection by comparing the estimated table with the reference table by AIC, Pearson chi2 and log-likelihood for the log-linear models 1 to 65. Model fine selection based on minimal deviation (deviance) of the pre-selected models from the cells of the reference table (combination of age, nationality, marital status and gender), additionally taking into account the size of the community to exclude estimation errors and possibly disproportionate cell frequencies. Application combines numerous functions in a single ETL module that can be executed as a unsupervised macro in a SAS Stored Process. This complex ETL module consists of two functionally disparate phases: The first phase iteratively provides the data tables for each municipality for each of the 65 models by PROC IML (CALL IPF). The second phase iteratively calculated GoF tests, essential parameters were aggregated and formatted as SAS data sets. In addition, this macro specifies criteria for (un)successful convergence (e.g. Chi2, maximum difference, N iterations), as well as pre-set stop criteria (maximum difference, maximum iterations) into a separate SAS file. On top, the module focussing analysis transforms of GoF and deviance values into an intuitively interpretable visual analysis. A "cockpit" with various "switches" allows fine-tuning the preferred visualization, as well as the input (local, state, all).
  • Technical environment:System environment: Front-End: Enterprise Guide v4, back-end SAS 9.2 servers, directly or via CITRIX. Data sets: SAS data sets (some ORACLE, some Teradata), N: 100,000 +. Size: e.g., 250 GB. Data volume: > 5,50 E+09 (5,5+ billion) data lines (main application). Programming languages: SAS Macro Facility, Base SAS, PROC IML, SAS Hash Programming, PROC SQL and SAS procedures MEANS, TABULATE and GRAPH. Length of the two SAS programs for the main application in A4 Pages: 60 (ETL: 40, Analysis: 20) Program execution: Main application as SAS Stored Process directly on the server, development and testing on CITRIX. Run time: 96 (ninety-six) hours (main application), spread over four cores. Reference in process.

2011 ATM manufacturer, NRW, Germany

  • Task: Concept for a Quality Intelligence System (QIS) for pooling, analysis and visualization of production data to distributed enterprise-wide dashboards in real time.
  • Project: "QIS Project": QIS supports the monitoring of product and production quality, and also the prediction of deviations to intervene quicker, as well as a Knowledge Base for improved optimization. Demonstrations by ad hoc analysis of production data using JMP, SPSS, and SAS. Presentation of these "appetizer analyses" on the basis of classical Six Sigma methods, and more sophisticated predictive analytics approaches.
  • Achievements: Communication of (dis)advantages of various software systems, statistical approaches, meaning and limits of results obtained (including forecasting, decision trees, or various control charts and KPIs). Exact and timely identification and feedback of faulty and correct production data. Estimation of data accuracy so far: 90+%.

2011 / 2010 Bank, Mönchengladbach, Germany

  • Project: "Integrated Customer Data": Process flow and quality of customer data.
  • Task: Temporary management of the customer data project. Central bundling, query and analysis of customer information for marketing activities and credit decisions. In the context of Basel II audits e.g. integration of daily data updates into a monthly updated database. Other tasks: Error analysis, log analysis, gap analysis, coordination of technical interfaces (SAS, ORACLE), SLAs for reliable data deployment, (re)programming with SAS Macro Facility, analysis of performance and efficiency (architecture, SAS code, SAS Software Solutions as an alternative to proprietary SAS code), hardware / software cost estimates for high-performance 24 /7 availability. Data volume: 15+ million data lines.
  • Achievements: Successful leading of team through phase of unexpected personnel changes. Provided team with access to unprocessed raw data for trouble-shooting against express resistance of competing departments ("turf wars"). Step-by-step solving massive data problems caused by third data-delivering departments. Collecting information about processes into documentation (none available until then).

2011 / 2010 Insurance, Munich, Germany

  • Project: "Prophet" Data
  • Task: Creating tables (model point and basic accounting data files) using database queries specified by team "Mathematics", test the data provided, and transferring the processed data for further processing into PROPHET. Requirements: Programming with SAS Macro Facility and PROC SQL "by call", merge, standardize and accelerate macros whenever possible, testing and trouble-shooting, working on the host (SAS8.2) and local (SAS9.1.2). Development and implementing solutions for specific requirements, including macros for splitting for multi-threading.
  • Achievements: Successful delivery of SAS programs for special requirements. Acceleration of SAS export into txt format by SAS tag-set approach, and many more. Successful working in a SAS project without any job description, just by "call". Massive reduction of workload on local SAS system and also team.

2010 Media / Market Research, Switzerland

  • Project: "Peak Analysis". Analysis of quality of signal data.
  • Tasks: Support of local team on data analysis and data quality.
  • Achievements: Development and implementation of an automatic data outlier identification system with an accuracy of 95+% that helped to reduce work load by 90%, and also improved team's morale. Beyond Six Sigma. Developing and implementing of an automatic data analysis approach that generated complex data analyses including time-stamp protected data sets and paths at the push of a button.

2009 / 2008 Pharma (Diagnostics), Germany

  • Project / Roche® Role: "SAS Macro Programming Project"
  • Tasks: Trouble-shooting of complex proprietary macros for analysis (e.g. DeLong) and visualization, consulting and support for SQL and SAS PROC TABULATE, ROC / AUC analysis (among others) by means of various macros. Consulting and support for special statistical issues, including mixed models (PROC MIXED) and quantile regression (e.g. PROC QUANTREG). Macro Programming with SAS 9.1.3.
  • Achievements: Successful trouble-shooting of complex proprietary analysis macros. Automation of macros from manual to list-wise processing of input data. Improvement of performance, precision, and data quality by automatated checks (supported by visualisations) and output into separate SAS data sets.

2008 / 2006 Insurance, Cologne, Germany (Projects: Several)

  • Project: "Training Needs Analysis".
  • Tasks: Training needs analysis of the functional groups of Innenvertrieb, of VU Sach and the head of VU property of NL Collaborations including: Reading in the collected questionnaires, data management, identification of priorities, aggregating evaluations of all employees, by functional groups, and their graphical representation, individual evaluation of employee including seminar recommendation, and creating lists of staff and according seminar recommendations as the basis of an educational controlling.
  • Achievements: Very satisfied client repeatedly ordered follow-up analyses. Long cooperation due to great client satisfaction.

2007 / 2004 "Back Pain Study", Hamburg, Germany

  • Project: "Back Pain Study" (International multi-centre clinical study).
  • Responsibilities: Code Review (SPSS), ensuring data quality professional in respect to completeness, consistency, duplicates, missing values, etc. Scientific monitoring (evaluation). Advice on research methods, statistics and SPSS 13. Data management, data, analysis quality. Programming of reports (lists, tables) for the statistical evaluation. Multivariate analysis.
  • Achievements: Systematically restoring third-party data quality, thus providing the data base to achieve the results researchers were a long time looking for. Improving result situation by suggesting more appropriate analysis approaches. Long cooperation due to immediate successes from the very beginning.

2006 Telco, Düsseldorf, Germany

  • Project: "Churn Analysis and Forecast for Handhelds"
  • Tasks: Modelling and forecasting of several contract and sales parameters from original and adjusted data. Development of univariate forecast models and complex multivariate forecasting models (e.g. expolative approaches, Box-Jenkins approaches, as well as intervention and transfer function models). Automation of data migration, data management and data analysis. Description, statistical modelling and forecasting of contract and sales parameters based on data of different granularity (daily, monthly), definition (original vs. adjusted data) and training periods (time series analysis). Testing and assurance of data and forecasting quality. Optimization of forecasts by considering possible regressors, interventions, seasonal dummies and excluding several effects like calendar, retrieval / sampling and distribution (incl. missing values, outliers).
  • Achievements: Development of an forecasting approach for volatile data with an accuracy of 90+%. On the push of a button, system read in and checked the data, provided precise forecasts, and put the results into a pre-formatted PDF report. Automation of data management, analysis, and reporting from hours to minutes. Prevent superior management from distributing faulty data delivered from third parties.

2006 Health Consulting Agency, Bavaria, Germany

  • Project: "Heart Insufficiency".
  • Tasks: Analysis of heart insufficiency. Based on requirements and micro data, an extensive SAS BASE / SQL program was written and subsequently executed on the GKV databases of the Federal Statistical Office (DESTATIS, Wiesbaden).
  • Achievements: Development of SAS analysis program from scratch (only micro data for testing). Feedback from DESTATIS was that this SAS program was one of the most efficient SQL programs they ever executed on their databases.

2005 Bank in Düsseldorf area, Germany

  • Projects (several): Analysis of Winner/Loser portfolios. Evaluation of financial distress parameters. Prediction of bankruptcy. Usage of financial information to forecast market performance. Stock market analyses (portfolio selection and evaluation). Development and testing of clusters to the spending behaviour of credit card holders etc.
  • Tasks: Project coordination scientifically based monitoring (including evaluation, key concepts, model specification). Inferential statistical analysis and reporting. SQL data queries in multivariate TABULATE output. Ensuring quality of data and ETL in respect to consistency, duplicates, missing values etc.
  • System environment: NOVELL. Tools: SAS9.1.3, mainly SAS Base, SAS/STAT, and SAS/ETS.

2005 Pharma/Scientific Institution, Germany

  • Project: "Third Opinion Scientific Consultancy about Clustering and Segmentation".
  • Tasks: Client requested an independent third option about a recommendation given from local scientific institution.
  • Achievements: We developed an alternative, yield-driven cluster and segmentation. Compared with the original approach, the customer expects to achieve a minimum two million Euro higher profit every year.

Academic Successes

2010 Empirical effectiveness of massage therapy, Hamburg, Germany

  • Project: "Empirical effectiveness of massage therapy"
  • Tasks: Scientific support, approach: Meta analysis. Critical analysis of empirical literature according to criteria for good research practise. Synthesis of insights into substantiated conclusions about (i.) empirical effectiveness of massage therapy" and also (ii.) limits of recent massage therapy research. Support of cause towards high-level stakeholders to politically promote the support of professional training in massage therapy and also research.
  • Achievements: Baumgart, Sabine; Müller-Oerlinghausen, Bruno; Schendera, CFG (2011). Wirksamkeit der Massagetherapie bei Depression und Angsterkrankungen, sowie bei Depressivität und Angst als Komorbidität- Eine systematische Übersicht kontrollierter Studien. Physikalische Medizin, Rehabilitationsmedizin, Kurortmedizin (Phys Rehab Kur Med), 21(4): 167-182.

2007 / 2004 "Medienoffensive Schule II", Baden-Württemberg, Germany (several waves)

  • Project: The "Medienoffensive Schule II" was part of the "Zukunftsoffensive III" of Baden-Württemberg. Initiated by the Ministry of Culture, Youth and Sports, it supported the media education in schools, and accelerated software development and customization to meet individual educational needs (especially in the field of special education). As focal points were provided, among others: Development of education in media content and concepts, multimedia and primary schools (e-learning, blended learning), as well as new technologies for the educational needs of disabled people. The new media should be a universal and readily available tool for the classroom to enhance the quality of education to enable self-directed and key skills-based learning, and provide all students a sound media literacy. Data volume: Several hundred fields and observations.
  • Achievements: Development of complex analysis plan from scratch before information gathering. Guaranteed data quality by checking completeness, uniformity, duplicates, missing values etc. Special tasks included the standardizing analysis of free text fields, checking of address data, and identification and solving of technical errors on client side. Support in appropriate communication of results obtained. Due to great satisfaction after first project, also analysis services ordered for other projects.

2006 N.N., Baden-Württemberg, Germany

  • Project: "Earthquake Modelling".
  • Tasks: Statistical modelling and forecasting of the possible effects of underground coal mining in the shape of mining-induced earthquakes. Task: Analysis using an Unobserved Components approach (PROC UCM SAS9.1.2).
  • Achievements: Support in providing the appropriate data base. Development of an forecast for most irregular data with an accuracy of 80+%. Support in communicating the results obtained to political stake-holders.

2005 / 2004 Institute of Psychology, University of Heidelberg

  • Project: Evaluation of the "Family Meditation in the Institutional Counselling" (Pilot project, Head: Prof. Rainer Bastine, Dipl.-Psych. Birgit Römer-Wolf).
  • Objective: Evaluate the demand and supply situation of family mediation in the institutional counselling.
  • Proceeding: Nationwide survey on the practice of meditation in the context of institutionalized family counselling services (Counselling in education, family & life) of free carriers from two perspectives: 1. Institutional perspective: Evaluation aspects: Conceptual and actual anchoring of family mediation as an offer of Children and Youth Services; Practice of Family Mediation; Supply situation and demand of the service offered; 2. Perspective of professional users of family mediation: Evaluation areas: Ratio of need, demand and supply of family meditation in the institutional counselling services; Match of training and practice requirements of family mediators in counselling centres. To conclude: Transfer of the practical experience during a conference of multipliers. Project support by a scientific advisory board in cooperation with the Dt. Arbeitskreis für Jugend-, Ehe- & Familienberatung (DAK).

2005 / 2002 N.N., Germany

  • Project: "Time Series Analysis (1950-2000) of trends in selected offences and violence".
  • Tasks: Time series analysis (1950-2000) of trends in selected statistics about offences and violence provided by the Federal Criminal Office, Criminal Statistics of the Police, and the Federal Statistical Office. Structuring the project according to crimes, for example fraud, drug-related, theft, assault, murder, sexual offences, infidelity, etc., coordinating the various data supplied by the Federal Criminal Police, Criminal Statistics of the Police, and the Federal Statistical Office. Transfer of data (some still in paper form) and from EXCEL to SAS. Graphical visualization for the analysis of trends and error control, primarily with SAS. Time series analysis in conjunction e.g. with macroeconomic data from the SOEP (Socio-Economic Panel) of the German Institute for Economic Research. Mostly unpublished.
  • Achievements: Providing the data base from original paper files into SAS files. Our quality checks were so thorough that our client was able to inform the Federal Statistical Office about the mistakes we found. Our developed SAS analysis programs for time series analysis and forecasting showed highly interesting trends in the developments of selected offences and crimes. Due to great satisfaction with collaboration, client entrusted us with other projects, e.g. scientific support in a project about the number of unreported cases of offences and violence, and correlation of offence and violence data with macroeconomic data (SOEP).

2004 / 1999 College of Education / Pädagogische Hochschule Heidelberg, Germany

  • Project: "Evaluation of the education reality of grave and multiple handicapped children and adolescents."
  • Tasks: Scientific consulting: General scientific consultation, especially about statistical techniques and understanding of results of multivariate procedures. Planning of numerous measures to secure data quality and putting them into action. Consulting in research and statistical methods. Warranty of data quality and interrater-reliability, e.g. elimination of duplicates and data manipulation. Project coordination, e.g. Double Data Entry. Migration of data between SAS and SPSS. Development and initialization of standard reports. Descriptive and statistical analysis. Professional communication of results. Documentation of data and analysis quality.
  • Achievements: One of the largest projects in contemporary social sciences (e.g. bigger than ALLBUS). Highest possible quality of data and results from the very beginning. We even found out when secretaries tried to answer instead of the directors of the schools addressed. Important insights notwithstanding limited resources and restricted deadlines. Several major publications followed, see Profs. Wolfgang Lamers and Theo Klauß. Overall positive political and scientific response to initiative and results obtained: 96.5% of the schools contacted participated finally. The return of questionnaires sent out packages was approx. 87%. Conference planned for approx. 500 participants was "overrun" by 1.000+. Further projects acquired due to the tremendous success of this project (see also Publications).

2004 / 2002 Women's Clinic of University of Heidelberg, Germany

  • Project: "Heidelberger Brustkrebsstudie", Nutrition and breast cancer (several clinical studies, e.g. about nutrition factors and antiemetica), Dir.: Dr. Adzersen.
  • Tasks: Statistical analysis according to SAP by means sof SAS. Programming of reports for statistical analysis. Analysis of several clinical studies about food, pharmacological, and physical activity data. Visualization and communication of results. Expertise in epidemiology.
  • Achievements: Trouble-Shooting of a 100+ pages long buggy third-party SAS syntax including SAS macros (see also Publications).

2003, NGO, Germany

  • Project: Reconstruction of an economic report of the German Federal Government.
  • Background: The original economic report based on socio-econometric data analyzed by using SPSS. Total data volume in GB, hundreds of SPSS and SAS datasets. The reconstruction using SAS showed that the report of the Federal Government contained massive errors already at an early stage of the SPSS analysis. As a consequence, the statements made therein proved to be without a sound basis.
  • Tasks: Data management, assurance of data and analysis, generation of SAS derived datasets, parallel validation of SAS and SPSS programs.
  • Environment: Windows XP, NT. Tools: SAS V8.2.

2003 / 2002 Schweizer Nationalfonds and University of Bern (Schweiz)

  • Project: Relatives of persons with alcohol problems. About the measurement of partner-centrism. Orig.: "Angehörige von Personen mit Alkoholproblemen. Zur Messung der Partnerzentrierung." Based on the principle of "self organization", the study objective was to investigate the problems of the relatives of alcoholics as emotional and cognitive restructuring between "selfishness" and "self responsibility". The project was conducted in cooperation with the Swiss National Fund for Support of Scientific Research (Department of Biology and Medicine) and the University of Bern (Switzerland).
  • Tasks: The project task was to develop a scale basing on this concept and validate it using different samples of relatives.
  • Achievements: Galliker, Mark, Grivel, Madeleine, Klein, Margot & Schendera, Christian (2004). Sind Frauen von Männern mit Alkoholproblemen besonders partnerzentriert? Are wives of men with alcohol problems particularly partner-centred? In: Sucht: Zeitschrift für Wissenschaft und Praxis, 50, 2, April, 113-120.

2001 / 1999 NABU Karlsruhe, Germany

  • Project: Breeding Bird Monitoring
  • Tasks: Automation of a complex database query (MSACCESS) with longitudinal data, including data management (SQL), and automated output of analysis (time series / forecasts) and graphics (templates, PostScript format) for annual reports.
  • Achievements: Reference e.g. in: Scheurig, Mittmann & Havelka: Brutvogel-Monitoring Baden-Württemberg 1992-1999, Carolinea, Beiheft 14 (30.12.1999).

2000 / 1999 College of Education / Pädagogische Hochschule Heidelberg, Germany

  • Project: Twin Research. Orig.: "Zwillingsforschung" (Prof.Dr. H.Schöler, Faculty I, Psychology in Education in Learning Disabilities). The focus of this study was the retrospective analysis of a large data set (n = 174 twins) in terms of etiological factors of speech and language disorders. The material was mainly qualitative data.
  • Tasks: Methodological consultant and data analyst in the DFG funded project "Twin Research". Advice on scientific analysis methods, e.g. on qualitative variables with SAS 6.12, and the solution of special analysis prolems, e.g. statistical mediation effects.
  • Achievements: The results are shown in "Arbeitsberichte aus dem Forschungsprojekt Differentialdiagnostik", Bd.7 und 8: Stamm, K., Schöler, H. & Weuffen, M. (2000). Zur Bedeutung perinataler Komplikationen und genetischer Einflüsse bei Sprach- und Sprechstörungen - Eine Untersuchung an sprachauffälligen und -unauffälligen Zwillingen (Arbeitsberichte aus dem Forschungsprojekt "Differentialdiagnostik" Nr. 7). Heidelberg: Pädagogische Hochschule, Erziehungs- und Sozialwissenschaftliche Fakultät. Stamm, K., Schöler, H. & Weuffen, M. (2000). Ist die Qualität von Kinderzeichnungen ein valider Indikator für mentale Reife, allgemeine Entwicklung und sprachliche Leistungen? (Arbeitsberichte aus dem Forschungsprojekt "Differentialdiagnostik" Nr. 8). Heidelberg: Pädagogische Hochschule, Erziehungs- und Sozialwissenschaftliche Fakultät.

1999 Medical Informatics, University of Heidelberg, Germany

  • Project: "PIK Project", Evaluation of a system for computerized nursing documentation. Tasks: Scientific-based accompaniment (evaluation), advice on research methods, statistics and SAS, graphical visualization and statistical analysis of data, warranty of interrater-reliability, data quality, and troubleshooting. Application of measurements of change, trend analyses, as well as predictive analysis.
  • Achievements: Early empirical study of an electronic patient file (EPA) system (see also Publications).

1996 / 1995 Institute of Psychology, University of Heidelberg

  • DFG-Sonderforschungsbereich 245 "Language and situation" (B2).
  • Tasks: Analyses with the computer program SAS including representation and interpretation of the results achieved.
  • References: Weimer, Daniel, Galliker, Mark & Graumann, Carl F. (1996). Die Heidelberger Akzeptanz-Skala: Entwicklung eines Forschungsinstruments zum Thema Migrantenfeindlichkeit. Arbeiten aus dem Sonderforschungsbereich 245 'Sprache und Situation'. Bericht Nr. 107, Heidelberg/Mannheim (especially mentioned contribution). Weimer, Daniel, Galliker, Mark, Höer, Renate, Ansorge, Birgit, Elze, Annette, Imminger, Kurt, John, Christine, Schendera, Christian & Graumann, Carl Friedrich (1996). Explizite und implizite sprachliche Diskriminierungen von Migranten: Wahrnehmung und Verarbeitung bei Studierenden und Arbeitssuchenden. Arbeiten aus dem Sonderforschungsbereich 245 "Sprache und Situation", Bericht Nr. 108, Heidelberg/Mannheim. Letter of recommendation from Prof. Carl F.Graumann.

1994 / 1993 Department of Internal Medicine of the University Hospital Heidelberg

  • Third party funded project "Comparison of the safety and efficacy of d-sotalol and d, l-sotalol in patients with life-threatening VT/VF"
  • Research of quality of life as a target treatment in patients with life-threatening heart rhythm disorders was, i.a., the purpose of this Europe-wide multicentre study within the scope of an FDA approval process

This selection is not exhaustive. You can find more projects and topics under About Method Consult and under Disciplines & Topics. For privacy reasons, companies and projects are anonymous.

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