Data Analysis Service: PhD Analysts, Done for You

Done for you, from raw file to a result you can publish

The distinguishing feature of this service is scope: it is fully done for you, end to end, not a single test handed back or an advisory hour on a call. You provide the dataset and the question; you are matched with a PhD analyst or methodologist who has published in your field, and your data analysis consultant cleans the data, selects and runs the right analysis in R, Python, SPSS, Stata, or SQL, and delivers reproducible code with a plain-language explanation of what the results mean. We work across health sciences, nursing, psychology, education, social sciences, and beyond, on academic, clinical, and business datasets alike. Most clients come to us with data they know holds an answer but no time, method, or software fluency to extract it cleanly, and the whole point is that you never touch the analysis yourself.

What our data analysis service covers

A complete engagement runs the whole pipeline from messy file to usable result, or any single stage of it:

• Data cleaning and wrangling, including recoding, deduplication, a tidy data structure that follows Tidy Data principles (Wickham, Journal of Statistical Software, 2014), and a documented missing-data strategy.
• Exploratory analysis, to understand distributions, outliers, and relationships before any modelling.
• The statistical analysis itself, from regression and modeling through classification, matched to your design and, depending on your data and question, checked against every assumption and reported against SAMPL guidelines for statistical reporting (Lang and Altman, 2015).
• Visualization, producing clear, publication or report-ready figures; for standalone charts and infographics our data visualization service takes the figures further.
• A written report, interpreting every result in plain language for your audience.
• Reproducible pipelines and code in R, Python, SPSS, Stata, or SQL, so the entire analysis can be rerun and verified, with a reproducible pipeline where the data supports it.

When the work needs ongoing methodological guidance rather than a single delivery, our statistical consulting services provide a continuing partnership instead.

Statistical data analysis from raw data to results

Statistical data analysis is the core of the service. Once the data are clean, we apply the methods your question demands: descriptive statistics to summarise, group comparisons such as t-tests and analysis of variance, correlation to measure association, and regression (linear, logistic, Poisson) to model relationships and adjust for confounders. For more complex designs we fit mixed-effects and multilevel models, survival analysis, factor analysis, and structural equation models. Every test is chosen because it fits your design, not because it is convenient, and every assumption is checked and documented so the analysis holds up in peer review or audit. Where you need only the modelling and inference handled, our statistical analysis service covers that stage on its own.

Quantitative data analysis for any field

Quantitative data analysis is sector-agnostic, which is why the same service supports a doctoral thesis chapter, a clinical outcomes dataset, and a business performance question. The statistical logic is identical; only the context and the reporting change. A PhD candidate receives a results section and a defense-ready walkthrough; a clinical team receives outputs aligned to reporting guidelines; a business receives a decision-focused report. If your data are questionnaire or scale responses, our survey data analysis adds reliability and validity testing, and for clinical or trial data our biostatistics consulting applies Good Clinical Practice standards.

Software and methods

We use whichever software fits your field, your journal, and the analysis, and we deliver the code so nothing is a black box:

What we need from you to start

The engagement is deliberately low-effort on your side. You send the dataset in whatever state it is in, messy exports and half-cleaned spreadsheets included, along with the question it needs to answer and any journal, institution, or reporting requirements. We review it and confirm scope free of charge, work under a mutual non-disclosure agreement on request, and never publish or reuse your data. From there you are hands-off until the cleaned dataset, the annotated code, the figures, and the written report come back to you in full.

Who uses our data analysis service

• Doctoral and master's candidates who need a thesis chapter analyzed and explained
• Researchers and faculty without the time or the in-house statistician to run the analysis
• Clinical and health teams who need outcomes analyzed to reporting standards
• Businesses and policy researchers who need quantitative conclusions that hold up to scrutiny
• Authors and grant applicants who need a defensible analysis and clear figures on a deadline

What you receive

• A cleaned dataset with a variable codebook
• Annotated R, Python, SPSS, or Stata code, fully reproducible
• Publication or report-ready tables and figures
• A written report interpreting every result in plain language
• A results-section draft in your target style, where you need one
• Revision support within the agreed scope

Get a data analysis quote

Send your dataset and the question it needs to answer, and a PhD analyst replies with a fixed-fee plan, the recommended analysis, and a timeline. You can review our published request sample analyses and deliverables to see the standard of code, figures, and written interpretation before you commit. Get a free quote or review the pricing details. If you would rather bring an expert in on your own terms, you can hire a statistician by the project or the hour, and for a full evidence synthesis our meta-analysis support takes the statistics through to a GRADE summary of findings.

If your study data still needs to be collected, cleaned to standard, and locked before analysis, our clinical and research data management service handles that upstream work.

Testimonials

Data analytics services

Where a research project needs more than a single test, our data analytics services and data analytics consulting cover the full path from raw data to decision: cleaning, exploratory analysis, modelling, and clear visual reporting. The deliverable is the same reproducible, documented output with annotated code, whether your field calls it data analysis or data analytics.