Applications:
Economics, Marketing and Consumer Behavior Research, Public Health, Survey Research
Methodologies:
Computational Tools for Data Science, Data Collection Design, Data Management, Data Mining, Data Quality, Data Security and Privacy, Decision Science, Econometrics, Human-Computer Interaction, Longitudinal Data Analysis, Missing Data and Imputation, Predictive Modeling, Psychometrics, Statistical Inference, Statistics, Survey Methodology, Time Series Analysis
Relevant Projects:

Surveys of Consumers


Z. Tuba Suzer-Gurtekin

Assistant Research Scientist

Assistant Research Scientist, ISR-SRC


Affiliation(s):

LEO Intermittent Lecturer, Biostatistics Department

Z. Tuba Suzer Gurtekin is an Assistant Research Scientist at the University of Michigan’s Institute for Social Research. Her research includes managing monthly surveys of consumer attitudes, expectations and behavior. Her published research focuses on methods to quantify nonresponse and measurement survey errors in probability and nonprobability sample surveys, and mixed-mode survey design and inference. Her research experience has included development of alternative sample, methodology and questionnaire designs, data collection and analysis methods for a general population in parallel survey modes. She also teaches Survey Sampling for Clinical Research at the University of Michigan’s Clinical Research Design and Statistical Analysis program (OJOC CRDSA).