EXAMPLE PROJECTS
The Kind of Work
We Deliver
Illustrative examples of the statistical analysis we provide, across disciplines, methods and software.
ILLUSTRATIVE BY DESIGN
Real Methods, Built
From Typical Requests
These are illustrative examples, not real client case studies. Out of respect for the confidentiality we promise every researcher we work with, we never share details of actual client projects.
The examples below represent the type and scope of work we typically deliver. They are not based on, or drawn from, any specific client's research.
Built from typical requests
Written by our in-house statisticians from the kinds of projects we receive most often, with realistic designs, sample sizes and software.
Complete, as you would receive it
Research question, study design, method and assumptions, output and interpretation, and the reporting format.
Confidential by rule
Every engagement is confidential, during the project and after it ends. That is why the examples are illustrative.
Retrospective Cohort Study for a Hospital Discharge Program
Propensity-weighted odds ratios with multiple imputation and an E-value for a record-based cohort of about 6,000 discharged patients.
Thematic Analysis for a Qualitative Interview Study
Theme review and a documented audit trail for a research team's reflexive thematic analysis of about 20 teacher interviews, reported to COREQ.
Results Reporting for a Social Psychology Experiment
APA 7 tables, figures and methods-and-results wording with simple slopes and effect sizes for a preregistered online experiment of about 400 participants.
Randomized Controlled Trial for a Diabetes Self-Management Program
A prespecified estimand, a baseline-adjusted mixed model and missing-data sensitivity analyses for a two-arm trial of about 240 adults, run in SAS.
Survey Design for a Social Attitudes Study
Sampling frame, a sample size set for precision with a design effect, a pretest and a weighting plan for a household survey of about 1,200 completed interviews.
Real-World Data Study for a Medication Adherence Program
Matched comparison of statin adherence between refill-program enrollees and non-enrollees in dispensing records for about 12,000 patients, with an E-value.
Psychometric Validation for a Translated Anxiety Scale
A one-factor model with an ordinal estimator, invariance testing, omega and convergent validity for a translated anxiety scale completed by about 500 adults.
Statistical Reanalysis for a Cell Signaling Experiment
A nested reanalysis with the preparation as the unit, fold changes with confidence intervals and a reviewer-ready memo for about 18 cell preparations.
Statistical Analysis Plan for a Trial Grant Application
An estimand, a sample size justified over a range of variability assumptions with a simulation check, a missing-data strategy and an analysis plan for a planned two-arm trial of about 200 participants.
These examples do not describe real clients or projects. Every engagement is confidential, during the project and after it ends.
HOW TO READ AN EXAMPLE
What Every Example
Walks Through
Each example follows the same path as a real engagement, so you can see what you would receive at every stage.
Research question
What the study set out to test, and the hypotheses behind it.
Study design and data
Design, sample, variables and the software used.
Method and assumptions
Why this method, and how its assumptions were checked.
Output and interpretation
The tables and figures, and what they mean for the question.
Reporting
How results are written up in APA, CONSORT, STROBE or a journal format.
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Method or Field?
The examples are a sample. Our full guidance covers every method, discipline and software we work with.
Statistical Methods
From t-tests to structural equation modeling, with assumptions, output and reporting.
Browse methodsResearch Disciplines
How we work in clinical, psychological, educational, business and life-science research.
Browse disciplinesStatistical Software
SPSS, R, Stata, SAS, Python and NVivo, with syntax and scripts delivered.
Browse softwareNEXT STEP
See How We'd Approach
Your Research
Share your project and receive a personalized assessment from a statistically trained Research Coordinator, usually the same day.
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In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014