CONSULTING

Statistical Consulting

I have over 25 years experience in statistical collaboration and consulting and am open to new projects. My strengths include

  • my reputation and resume,

  • strong communication, editing, and writing skills, and

  • statistical expertise and experience.

I have consulted with several government agencies, for many companies, with scholars in diverse fields, and on legal issues.

Consulting topics and possible consulting roles are listed below.

Email is the best way to contact me: mlarsen@smcvt.edu. An alternative is mlarsen005@gmail.com. I look forward to hearing from you today!

Consulting topics

My primary areas of consulting have emphasized

  • surveys (design, sample allocation, stratification, sample selection, survey weighting, nonresponse adjustment, post stratification, and survey analysis)

  • data analysis from simple to complex in a variety of applications

  • statistical analysis, statistical inference, statistical modeling

  • missing data (nonresponse adjustment, imputation, multiple imputation, sensitivity analysis)

  • record linkage (deterministic and probabilistic linkage of files)

  • confidentiality and disclosure limitation/protection

  • synthetic data generation, data masking, noise perturbation

This list is not exhaustive, and I am open to new opportunities!

Contact Information

Email: mlarsen@smcvt.edu; mlarsen005@gmail.com

Office Phone: (802) 654-2399

Office Address: Saint Michael's College, One Winooski Park, Mail box 165, Colchester, Vermont 05439 USA

College Directory Page: https://www.smcvt.edu/about-smc/directories/employee-directory/michael-larsen/

Consulting Roles

There are many possible ways that I can be involved in consulting projects. Here are some suggestions. I am glad to discuss options that fit your needs.

  • Expert review of statistical documents

  • Expert review of data analysis reports

  • Proposal preparation, especially writing about statistical methods

  • Evaluation or creation of a survey design and sample allocation

  • Comparison of survey sampling design options through theory and simulation

  • Technical review/advice/editorial role on a involving statistical methods and analysis

  • Technical review/advice/editorial role on a presentation involving statistical methods and analysis

  • Technical expert panel member

  • Advisory role for data analysis/statistical analysis and reporting

  • Review of data visualizations and summaries of statistical analyses for a broad audience

  • Examination of statistical capabilities of online data servers and statistical analysis engines

  • Design, review, and implementation of confidentiality and disclosure control/prevention methods

  • Record linkage (probabilistic linkage, data fusion): review of practice, development of methods for new applications

  • Deduplication methodology: review of methods and results and/or development of methods to be tested

  • Review or development of methods for statistical matching

  • Surveys: design, sample allocation, stratification, sample selection, survey weighting, nonresponse adjustment, post stratification, and survey analysis)

  • General survey and statistical consulting