Expert Biostatistics Consulting for Medical and Health Research
Biostatistics consulting provides researchers with expert statistical guidance and hands-on data analysis support. Whether you need help designing a study, calculating sample size, running complex analyses, or interpreting results for publication, a qualified biostatistician ensures your methods are rigorous, your analyses are correct, and your findings withstand peer review.
At Research Gold, our biostatistics consulting team is led by Prof. David Okonkwo (PhD, Biostatistics) and includes PhD-level statisticians with direct experience in clinical trials, observational studies, meta-analyses, and health services research. We use R, Stata, SPSS, and SAS depending on your project requirements, and deliver fully annotated, reproducible code with every engagement.
Statistical Services We Provide
Study Design Consulting
We help you choose the right study design and analytical approach before data collection begins. This includes randomized trial design, cohort and case-control study planning, cross-sectional survey design, and quasi-experimental methods.
Sample Size Calculation and Power Analysis
We calculate the minimum sample size needed to detect a clinically meaningful effect with adequate statistical power. We provide detailed justification for grant proposals and ethics applications, including effect size assumptions, alpha level, power (typically 80% or 90%), and expected dropout rates. 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:
- 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 statistical 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.