I combine extensive data analysis experience with a relaxed, collaborative interaction style. With over 15 years experience as a statistician, I am familiar with modern statistical methods, as well as methods popular in data science. I have experience at top universities, and in industry, so I know how to meet the needs of a variety of clients. I am a data cleaning and management expert. I am highly proficient at developing custom programming solutions in Stata’s scripting and matrix programming languages. I also have experience with Mplus, SAS, SPSS, R, and Python.
My methodological specialties include:
- Complex regression models
- Generalized linear models (e.g. logistic regression, Poisson models)
- Analysis of longitudinal/multilevel data
- Structural equation models
- Clustering methods (latent class analysis and cluster analysis)
- Methods for analyzing data with missing values (e.g. multiple imputation, FIML)
Because each project and collaboration is unique, my approach to working with clients is flexible. Some examples of the services I offer are:
- Create custom code to automate routine data management and reporting
- Provide advice on data collection and research design
- Implement statistical analysis plans
- Author reports for a variety of technical and non-technical audiences
- Perform complex data management tasks
- Implement methods not available in existing software
- Meet with you regularly to answer questions that come up in the research process
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