Biostatistics Consulting Services for Clinical Trials and Medical Research

Clinical and Medical Research Statistics, Handled End to End

Medical data punishes generic statistics. Survival times are censored, clustered patients break independence assumptions, diagnostic studies need sensitivity and specificity rather than a plain mean, and journal reviewers scrutinise every model choice. That is why clinical biostatistics is its own discipline, and why the person running your analysis should be a biostatistician who reads medical literature every day, not a generalist adapting a textbook example.

Research Gold delivers biostatistics consulting services through PhD-level statisticians with direct experience in clinical trials, observational studies, meta-analyses, and health services research. Research Gold matches you with a PhD biostatistician who has published in your field, drawing on our team of PhD methodologists and statisticians across biostatistics and epidemiology, so the person analyzing your data understands the conventions of health sciences, nursing, psychology, education, social sciences, and beyond. We run regression (linear, logistic, Cox), mixed-effects and multilevel models, survival analysis, ANOVA and ANCOVA, and factor analysis in R, Stata, SPSS, or SAS depending on your design, with reproducible code delivered on every engagement. Our biostatistics services span the full research lifecycle, from clinical biostatistics for trials and observational studies to analysis for dissertations, grants, and health services research.

Why Hire an Online Biostatistics Consultant

Biostatistics is remote by nature. The work is data, code, and written interpretation, none of which requires anyone in the room, so there is no reason to limit yourself to a local statistician near you. When you hire a biostatistician online you can match with a PhD specialist in your exact methodology, whether that is survival analysis, mixed-effects modeling, or a network meta-analysis, rather than whoever happens to be down the hall.

Researchers come to us instead of a solo freelance biostatistician for the same reason teams use any vetted firm: continuity, a documented analysis plan, reproducible code, and a second statistician who reviews the work before it reaches you. You get the responsiveness of an individual consultant with the accountability of a biostatistical consulting team. Whether you need to hire a statistician for a single analysis or a biostatistician for hire to support an entire trial, you work with a named PhD specialist whose work is independently reviewed.

Biostatistical Services We Provide

Study Design Consulting

We help you choose the right study design and analytical approach before data collection begins, including randomized trial design, cohort and case-control planning, cross-sectional survey design, and quasi-experimental methods. We align the design and its eventual reporting with the standard that fits your study, CONSORT for randomized trials (Schulz et al., BMJ, 2010) or STROBE for observational studies (von Elm et al., 2007), depending on your design.

Sample Size Calculation and Power Analysis

We calculate the minimum sample size needed to detect a clinically meaningful effect with adequate statistical power, with detailed justification for grant proposals and ethics applications: effect size assumptions, alpha level, power (typically 80% or 90%), and expected dropout. Try our free power analysis calculator for initial estimates.

Data Analysis for Medical Research

Our data analysis for medical research covers the full spectrum of quantitative methods, each delivered with reproducible code so a reviewer or co-author can rerun every result:

• Regression analysis: linear, logistic, ordinal, multinomial, Poisson, negative binomial
• Survival analysis: Kaplan-Meier curves, Cox proportional hazards, competing risks models
• Mixed-effects models: linear and generalized linear mixed models for clustered or repeated-measures data
• Propensity score methods: matching, inverse probability weighting, stratification
• Bayesian methods: Bayesian regression, hierarchical models
• Diagnostic test accuracy: sensitivity, specificity, ROC curves, likelihood ratios
• Time series and longitudinal analysis: growth curve models, generalized estimating equations

Meta-Analysis Statistics

If you have already conducted a systematic review and need the quantitative synthesis, we provide standalone meta-analysis support including effect size calculation, heterogeneity assessment, forest plots, funnel plots, and GRADE tables. See our meta-analysis service page for full details.

Explore our free statistical tools: effect size calculator, sample size calculator, chi-square calculator, and ICC calculator.

Statistical Interpretation Service

Already have your results but unsure what they mean? Our statistical interpretation service translates your outputs into clear, publication-ready language. We explain effect sizes in clinical context, assess whether assumptions were met, and help you present results accurately in your methods and results sections, reported in line with the SAMPL guidelines for statistical reporting (Lang and Altman, 2015) and, where your journal requires it, the APA Publication Manual, 7th edition (American Psychological Association, 2020). We report point estimates and confidence intervals only where model assumptions hold.

Clinical Trial Biostatistics Services

For sponsor and investigator-led trials, our clinical trial biostatistical consulting covers the statistics from the protocol to the final report. A named PhD biostatistician stays with the trial throughout, and a second statistician independently checks every deliverable before it reaches you.

• Protocol statistics section. The statistical methods section of the protocol: objectives and estimands, hypotheses, the analysis populations (intention-to-treat and per-protocol), and the prespecified approach to missing data.
• Sample size and power. A documented calculation for the primary endpoint, with every assumption (effect size, variability, significance level, power, and dropout) stated and referenced.
• Randomization. A reproducible randomization schedule, simple, blocked, or stratified, generated with annotated code.
• Statistical analysis plan. A written statistical analysis plan finalized before database lock and unblinding, so every analysis is prespecified.
• Interim analyses. Interim analysis plans with stopping boundaries, and the interim analyses themselves, run so that the trial team stays blinded where the design requires it.
• Data monitoring committee reports. Open and closed statistical reports for an independent data monitoring committee, also called a data safety monitoring board.
• Tables, listings and figures. Shells agreed in advance, then the full set of tables, listings and figures programmed in SAS or R with annotated code.
• Clinical study report statistical sections. The statistical methods and results sections of the clinical study report.
• FDA submission support. Statistical work for submissions to the FDA, from analysis datasets and results to answers to statistical questions from reviewers.
• CONSORT-ready results. Results and the participant flow diagram written to the CONSORT reporting standard, ready for your manuscript.

When the trial also needs case report form design, data cleaning, and database lock, we provide data management for your trial as well, and the locked dataset passes straight to the trial statistician.

Software We Use

All code is fully annotated and reproducible. We choose the software that best fits your project, or use the one specified by your institution or journal.

Biostatistics Consultancy for Medical and Healthcare Research Teams

Some teams need a single analysis; others need a biostatistics consultancy they can return to across a programme of studies. We work both ways. As a full-service biostatistics partner, we take a study from sample size and the statistical analysis plan through programming, analysis, tables, and the statistical methods and results text. As a medical biostatistics consulting resource, we review a plan, check a model, or answer reviewer questions by the hour. Where possible, the same PhD biostatistician stays on your project, so decisions made at the design stage carry through to the final report.

Our clinical biostatistics services support hospital investigators, academic research groups, and healthcare organisations running investigator-led trials, cohort studies, registries, and diagnostic accuracy studies.

What Biostatistics Consulting Costs

There is no single rate card for biostatistics consulting services because no two analyses are alike. The fee for any biostatistical consulting engagement is driven by:

• Analysis complexity. A set of descriptive statistics and a single regression is a different undertaking from a multilevel survival model with competing risks and sensitivity analyses.
• Data condition. Clean, well-documented data analyzes quickly. Merging messy sources, recoding variables, and resolving missing data adds time before any model runs.
• Number of outcomes and models. Each additional primary or secondary outcome, subgroup, or sensitivity analysis is more work to run, check, and write up.
• Deliverable depth. A results table is lighter than a full statistical analysis plan, annotated code, formatted figures, and a written methods and results narrative.
• Turnaround. Standard scheduling costs less than a compressed timeline that displaces other work.

We quote one fixed fee after reviewing your data and research question, so you know the full cost before any work begins, and the same scope is priced the same for every client anywhere in the world. There is no hourly meter and the first round of reviewer-driven revisions is inside that fee. Get a biostatistics quote for an itemized number against your exact analysis.

Who Uses Our Biostatistics Consulting

• Clinical researchers needing statistical analysis for journal submissions or regulatory reports
• PhD candidates requiring study design guidance and analysis for their dissertation
• Grant applicants needing sample size justifications and analysis plans for NIH, NIHR, or institutional proposals (see our grant methodology service)
• Medical residents and fellows analyzing data for their research projects
• Research teams that lack in-house biostatistical expertise
• Authors responding to reviewer requests for additional or corrected analyses (see our response to reviewers service)

This service pairs naturally with our medical writing services when you need the manuscript drafted around the analysis, and with our systematic review writing service when the statistics feed a full evidence synthesis.

Get Started

Share your data and research question, and we will reply with a detailed quote within a few hours. Get a free quote or view our transparent pricing.

Explore our full range of evidence synthesis and research support services. If your work centers on one need, we also offer focused statistical analysis and modelling, publication-ready charts and figures, and survey and questionnaire data analysis. You can review published examples of this work on our request examples of our deliverables.

For researchers working with sequencing or genomic data, our bioinformatics analysis service pairs the same statistical rigor with specialized omics pipelines. For non-clinical or social-science datasets, our statistical consulting service covers the same modelling work outside a medical context.

Before analysis begins, a dataset has to be collected, cleaned, and locked. For studies that need that groundwork, our clinical data management service covers data capture, validation, and database lock, then hands the locked dataset straight to this team.

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