Human research is so much more than case studies and RCTs
The assumption that clinical research means either anecdotal case studies or randomized controlled trials misses the majority of the methodological toolkit. NRI conducts the full spectrum of human research designs, selecting the approach that best answers the specific question at hand.
Different questions require different methods
Most people are trained to think of human research as a single tier with the RCT as the gold standard In practice, human research is a spectrum of designs, each answering different questions at different costs, with different types of evidence and different regulatory implications.
Selecting the right design for the question is as important, if not more, than executing it correctly. An RCT answers whether a compound causes an effect under controlled conditions. An epidemiological study answers what happens in real populations over time. A meta-analysis synthesizes what the entire body of literature actually shows. Registry studies capture real-world outcomes at scale. None of these is inherently better. They answer different questions.
The right study design depends on your question, your timeline, your budget, and your regulatory needs. NRI selects and executes across the full spectrum, not just the RCT end of it.
A full methodological toolkit for botanical research
Clinical Trial Design and Execution
Randomized controlled trials for natural products are the gold standard if the goal is efficacy evidence and claim substantiation. NRI designs, conducts, and analyzes human clinical trials with methodology built specifically for botanical and nutraceutical interventions, not pharmaceutical assumptions applied to supplements.
Phase 2 through Phase 4 designs. Placebo-controlled, active-controlled, crossover, and parallel group. PI-led from protocol to publication.
Real-world outcomes research
Not every research question is best answered by an RCT. Epidemiological and observational designs answer questions about what happens in real populations under real conditions, at costs and timescales that RCTs cannot match.
For safety questions, long-term outcome questions, and population-level pattern questions, observational designs often provide stronger, more generalizable evidence than a controlled trial in an artificial setting.
NRI's three-paper epidemiological series on lavender and tea tree essential oils investigated the proposed link between topical essential oil exposure and prepubertal gynecomastia in children. The research question required a population-level epidemiological approach, not an RCT. No controlled trial could ethically or practically answer whether long-term low-level topical exposure at population scale produces endocrine effects in children. The epidemiological series, combined with measurement instrument development, produced the most comprehensive evidence available on this question and closed a significant regulatory concern for the industry.
Systematic reviews and meta-analyses
A single trial answers a specific question under specific conditions. A systematic review with meta-analysis answers what the entire body of evidence shows, with what consistency, and at what effect size. For ingredients with multiple existing studies, this is often the most powerful and most credible evidence deliverable available.
Meta-analyses also identify where the existing evidence is weak, inconsistent, or methodologically flawed. For brands planning a trial, a systematic review of existing literature is the essential first step: it defines what is already known, what the effect size estimates suggest for power calculations, and what methodological approach is most likely to produce publishable results.
NRI's meta-analysis on pediatric aromatherapy for procedural distress synthesized the existing evidence across multiple trial designs and populations to produce the first comprehensive quantitative estimate of effect size for this indication. The meta-analysis established NRI as the leading methodological voice in pediatric essential oil research and provided the evidence foundation for subsequent trial design in this space.
Biostatistics
Simplistic, elementary statistical models lead to false negatives and failed studies. The statistical analysis plan determines whether a well-designed trial produces publishable results or an inconclusive dataset. NRI uses Stata v17 for all primary analyses with full pre-specified statistical analysis plans.
The REDRESS study on a novel medical device wound healing required statistical modeling for blood clotting and tissue repair outcomes, outcomes with non-normal distributions, time-varying measurements, and multiple correlated endpoints. Elementary parametric models would have missed real effects or inflated false positive risk. The biostatistical approach was a core methodological contribution of the study, not a secondary consideration.
Manuscript preparation and publication support
Conducting a good study and publishing a good study are different skills. NRI provides full manuscript preparation services for studies conducted by NRI and for studies conducted elsewhere that need publication support. The overwhelming majority of NRI studies are published in peer-reviewed journals or presented at scientific conferences.
The right method for the right question produces evidence that holds up
Brands that default to RCTs for every research question spend more than necessary, wait longer than necessary, and sometimes produce weaker evidence than a well-designed observational study would have. Brands that avoid RCTs entirely lack the controlled efficacy evidence that retailers, healthcare practitioners, and regulators require for the strongest claims.
The methodological sophistication to select and execute across the full research spectrum is what makes a research program compound in value over time. Each study type contributes something different to the evidence base. Used strategically, they build a body of evidence that is more comprehensive, more credible, and more commercially useful than any single study design could produce alone.
30+ publications
Peer-reviewed research across RCTs, epidemiological series, meta-analyses, and observational designs. Every major study design represented in the published record.
Stata Biostats
All primary statistical analyses conducted in Stata with custom written coding. No elementary models, no shortcuts.
CONSORT and PRISMA
All manuscripts prepared to international reporting standards for randomized trials and systematic reviews. Peer-review ready from the first draft.
Need research beyond the RCT?
Tell us your question and your timeline. We will recommend the right design.