Our Services

We offer a comprehensive suite of services designed to support healthcare research and decision-making.

Experts in health research methodology with extensive training in biostatistics, epidemiology and clinical operations, our team can help you answer a broad range of research questions, including:

  • Simulation & Modelling

    Compare different scenarios to improve decision-making

  • Causal Inference

    Examine the drivers of observed outcomes from non-randomized data.

  • Evidence Synthesis

    Understand the totality of evidence on a given topic.

  • Data Science

    Garner unique insights with advanced visualizations

  • Trial Planning

    Maximize impact and determine the optimal design for your clinical trial.

  • Preference Elicitation

    Understand what matters most to your clients & stakeholders

  • Network Meta-Analysis

    Compare the effectiveness of many different treatments

  • Health Economics

    Assess the cost-effectiveness and budget impact of therapies.

Our Core Services

At CCS, we tailor our solutions to meet the unique needs and goals of each project and client. Below are some of the services we offer. If you don’t see what you’re looking for, feel free to reach out—there’s a good chance we can help.

  • With the increasing availability of Real-World Data (RWD), there's a need for new ways to analyze this nuanced information. We are always adding new 'Real-World Solutions' to our toolbox in order to provide the most effective services.

    • Real-World Data Landscape Analysis

    • External Control Arms (ECA)

    • Target Trial Emulation

    • Causal Inference: Propensity Score and Non-Propensity Score Adjustment Methods

    • Quantitative Bias Analysis (QBA)

    • Transportability Analysis

  • We work meticulously to identify all relevant evidence in the peer-reviewed and grey literature. We then synthesize that evidence using rigorous quantitative methods to give you the answers you need.

    • Literature Reviews and Epidemiological Studies

    • Meta-Analyses

    • Bayesian Network Meta-Analyses & Network Meta-Interpolation

    • Indirect Treatment Comparison (ITC)

    • Matched Adjusted Indirect Comparison (MAIC)

  • Statistical simulations using advanced models are valuable decision-making tools. They allow us to test different strategies and scenarios to determine the optimal way forward.

    • Microsimulation

    • Bayesian Network Modelling

    • Survival Analysis in the Presence of Intercurrent Events

    • Cost-Effectiveness Modelling

    • Model Calibration & Validation

  • The design stage is critical to ensure clinical trial efficiency and to maximize the trial’s success. We use clinical trial simulations to go beyond conventional sample size and power calculations. Our specialties include Adaptive Trial Designsand Master Protocols to cultivate maximally efficient designs.

    • Adaptive Trial Designs

    • Basket and Umbrella Trials

    • Cluster Trials

    • Platform Trials

    • Biomarker-Guided Designs

    • Bayesian Designs

  • We build computational models to assess health economic impacts and support informed decision-making. Our services are designed to engage stakeholders effectively with data-driven insights for explicit decision-making.

    • Budget Impact Analysis

    • Cost-Effectiveness Analysis

    • Markov Models

    • Discrete Choice Experiments

    • Multi-Criteria Decision Analysis

  • Our company specializes in engagement with patients and stakeholders to demonstrate real-life impacts. We use both standardized and carefully crafted surveys and questionnaires to measure what matters most.

    • Clinical Trial Diversity Plans

    • Patient Reported Outcome Measurement

    • Surveys and Questionnaires

    • Qualitative and Mixed-Methods

    • Stakeholder Engagement