Dissertation & Research
Ethical statistical guidance from proposal to defense.
Independent statistical consulting
Clear evidence. Confident decisions.
Statistical consulting, survey research, dissertation guidance, live lessons, customized courses, and manuscript review for researchers, students, nonprofits, and public health teams.
Statistical Analysis
Design, modeling, interpretation, and reporting.
Surveys & Federal Data
Questionnaires, complex designs, and public datasets.
Live Lessons & Courses
One-to-one instruction and customized group training.
Manuscript Review
Methods, results, tables, and reviewer responses.
Program Evaluation
Outcome systems and grant-ready evidence.
Services
Choose the support your project needs.
Start with a focused review, a live lesson, or complete statistical support from the first research question to the final report.
Dissertation & research
Statistical consulting for dissertations and research projects
Get ethical, collaborative guidance from proposal through defense or publication. Support strengthens your own research decisions and understanding—it does not replace your academic work.
- Research questions
- Power and sample size
- Analysis guidance
- Defense preparation
Analysis
Statistical consultation, modeling, and reporting
Match methods to the design and data, check assumptions, conduct reproducible analyses, and translate findings into conclusions your audience can use.
- Regression and mixed models
- Longitudinal methods
- Sensitivity analyses
- Tables and figures
Survey research
Survey design and complex survey data analysis
Develop questionnaires, validate analytic variables and survey settings, and analyze weighted public-use data while respecting strata, clusters, domains, and documentation.
- Questionnaire review
- Sampling and weighting
- CDC and federal surveys
- Design-based inference
Teaching
Live statistical lessons and customized short courses
Build confidence through live, applied instruction using your topic, software, or dataset. Sessions are available for individuals, research teams, and organizations.
- One-to-one lessons
- R, Stata, and SAS
- Methods workshops
- Team training
Manuscripts
Statistical and methodological manuscript review
Review the alignment among the research question, design, analysis, results, tables, and conclusions before submission or during revision.
- Methods review
- Results verification
- Tables and figures
- Reviewer responses
Evaluation
Program evaluation, data systems, and grant support
Create practical outcome frameworks, data collection systems, recurring reports, and clear evidence for funders and stakeholders.
- Outcome frameworks
- Data collection design
- Grant methods
- Recurring reports
Complex survey data consulting
Federal health survey analysis, from question to defensible estimate.
Public-use survey data are powerful—but only when the sampling design, weights, domains, and documentation are handled correctly. Midwest Stat Lab supports the full workflow: conceptualizing the research question, checking and validating the analytic setup, conducting design-based analyses, and communicating results.
BRFSSCDC
Behavioral Risk Factor Surveillance System
YRBSSCDC
Youth Risk Behavior Surveillance System
NHANESCDC / NCHS
National Health and Nutrition Examination Survey
HINTSNational Cancer Institute
Health Information National Trends Survey
Support across the analytic lifecycle
- Research question and construct conceptualization
- Survey cycle, population, and variable selection
- Codebook, skip-pattern, and derived-variable review
- Weight, stratum, cluster, and PSU validation
- Subpopulation and domain analysis
- Variance estimation and design-based inference
- Multi-cycle pooling and trend analysis
- Reproducible code, tables, figures, and methods text
Design-aware workflows available in R, Stata, and SAS, with clear documentation for grants, manuscripts, reports, and reproducible research.
Approach
Rigorous enough for reviewers. Clear enough for action.
Good consulting makes the reasoning visible. You will understand what was done, why it was appropriate, and what the evidence can and cannot support.
- 01
Clarify the decision
We begin with the question, audience, timeline, and the decision your evidence needs to support.
- 02
Define the scope
You receive a written plan with deliverables, assumptions, timing, and either an hourly or project-based estimate.
- 03
Do the work
Analysis and reporting proceed in clear stages, with focused check-ins when your input changes the direction.
- 04
Make it usable
You receive reproducible work, interpretable results, and reporting designed for your real audience.
About Midwest Stat Lab
A thoughtful statistical partner for work that matters.
Midwest Stat Lab is an independent statistical consulting practice based in Ohio. It brings PhD-level statistical training and senior consulting experience across health, education, and social science research.
The aim is simple: protect the integrity of the work while making the results genuinely useful to the people who need them.
Services are provided independently and are not offered on behalf of any university or employer.
A good fit for
- Academic and clinical researchers
- Nonprofit and educational programs
- Public-sector and mission-driven teams
- Graduate and professional research projects
Confidentiality & data privacy
Your work stays your work.
Trust is part of the analysis. Every engagement begins with a practical data-handling plan shaped by the sensitivity of the information, the project's IRB or institutional requirements, and the client's preferences.
Confidential by default
Client names, organizations, project topics, and engagement details are not disclosed without express written permission.
Only what is necessary
We begin with the minimum information needed and encourage de-identification whenever identifiable data are not essential to the work.
A secure plan before transfer
Before data are shared, we agree on an appropriate transfer method, who may access the files, and any institutional or IRB requirements.
Clear retention and deletion
The written project scope can define how long files are retained, when working copies are deleted, and what deliverables remain with the client.
Please contact us before sharing sensitive data.
Do not send protected health information, direct identifiers, or other restricted data through this website or ordinary email. We will first confirm whether the project is appropriate and establish a suitable transfer and handling process.
Common questions
A clear start, before any commitment.
When should a statistician join the project?
Earlier is usually better, especially before outcomes and data fields are finalized. Existing datasets and late-stage projects are also welcome.
How does pricing work?
Engagements can be hourly or project-based. After a short fit conversation, you receive a written scope before paid work begins.
Can you guarantee significant results or grant funding?
No. The goal is rigorous, transparent evidence—not a predetermined result. Strong methods and clear reporting help reviewers trust the work.
Can you help with BRFSS, YRBSS, NHANES, or HINTS data?
Yes. Support can begin with question and variable conceptualization, continue through survey design and weight validation, and finish with design-based analysis, reproducible code, and publication-ready reporting.
Start a conversation
Tell us what decision your data needs to support.
Share a short description of the project, your timeline, and where you are in the process. We will reply to discuss fit, scope, and next steps.
midweststatlab@gmail.comPlease do not email protected health information, direct identifiers, confidential datasets, or other restricted data. We will arrange an appropriate transfer process if the project requires data sharing.
Hourly and project-based engagements · Nonprofit-friendly scoping availableConsultation request
Request by email
Online form submissions are temporarily paused while we finish a security upgrade. Please email us directly with a brief description of your project, timeline, and the type of support you need.
Please do not send protected health information, direct identifiers, confidential datasets, or other restricted data in the first email. We will arrange an appropriate transfer process if your project requires data sharing.