Collaborative Healthcare Research & Data Analytics

Generating Evidence to Advance Scientific Knowledge

COHRDATA, INC is a boutique research organization aimed to generate real world evidence (RWE) from valid scientific inquires to guide evidence-based decision making


COHRDATA Research Services

Observational Research

  • COHRDATA advances scientific evidence generation by:

    • Formulating precise research questions to address critical knowledge gaps

    • Designing and executing protocol-driven observational studies using advanced pharmacoepidemiology methods and real-world data (e.g., EHR, insurance claims)

    • Disseminating findings through comprehensive study reports, abstracts, manuscripts, and presentations

  • COHRDATA ensures project success through expert collaboration, advanced analytics, and impactful delivery

    • Expert Partnership: We collaborate closely with sponsors to refine study objectives, identify optimal data sources, and develop robust protocols and statistical analysis plans for high-quality research outcomes.

    • Sophisticated Analytics: We employ advanced study designs, such as target trial emulations, and methods like propensity score matching and Monte Carlo simulations for precise descriptive, comparative, and predictive analyses.

    • Impactful Delivery: We partner with sponsors to review preliminary results, conduct ad hoc sensitivity analyses for unexpected findings, and craft effective dissemination strategies, including abstracts, manuscripts, and presentations


COHRDATA Differentiators

Expertise

COHRDATA delivers exceptional expertise in observational research, seamlessly integrating advanced pharmacoepidemiology and statistical methods with deep therapeutic insight to drive robust outcomes. Leveraging techniques like propensity score adjustment, matching, stratification, and marginal structural modeling with inverse probability of treatment weighting, COHRDATA excels in comparative effectiveness and safety studies. Target trial emulation is used to mitigate selection bias, such as immortal time bias, while predictive modeling studies employ multivariable logistic regression and Monte-Carlo simulation to validate predictors to ensure robust findings and actionable, reliable insights

Quality

COHRDATA’s commitment to PhD-led observational research, rigorous quality checks, internal peer reviews, and customized study designs ensures meticulous scientific integrity and reproducible, high-impact results tailored to client needs and industry standards

Value

COHRDATA delivers exceptional observational research solutions at 30-50% lower cost than larger CROs through streamlined operations, transparent pricing, and high-impact, actionable deliverables that maximize client ROI and empower informed strategic decisions without compromising quality or expertise

Reliability

COHRDATA, a trusted partner, consistently delivers on-time, on-target results that align precisely with client objectives, supported by a proven track record of meeting budget and timeline expectations, responsive communication through dedicated project management, and regular updates to ensure impactful, reliable outputs that exceed expectations and foster trust and collaboration


COHRDATA’s Collaborative Research Approach

  • In close collaboration with our clients we:

    • Develop targeted research questions and specific aims

    • Identify a fit-for-purpose data source to answer the research questions

    • Generate a comprehensive study protocol and statistical analysis plan

    • Conduct targeted literature review for background sections (as needed)

    • Construct carefully curated study cohorts and build analytic datasets

      • Including checkpoints to confirm key variable distributions

    • Conduct descriptive and comparative analytics using advanced analytic methods to establish causal relationships

    • Review preliminary results with the study sponsor

    • Conduct ad hoc sensitivity analyses to address unexpected findings

    • Develop study report of final results

    • Disseminate research finding via abstract(s), manuscript(s) and conference presentations