iMEDACS Statistical Consulting brings a wealth of expertise in applying robust statistical methodologies across a wide range of industries and research domains. We specialize in helping you design studies that capture the right measurements with precision and accuracy, ensuring the most effective statistical analyses are employed to enhance your outcomes, optimize resources, and save both time and costs.

Our commitment is to foster long-term partnerships by prioritizing client satisfaction through reliable, insightful, and timely advice. We maintain open and consistent communication to fully understand and address your unique needs. Clients trust us for our ability to deliver tailored solutions, combining theoretical rigor with practical industry experience. Key reasons for their confidence in us include:

Grant Proposal

Support grant proposal development

Our support on the statistical component of grant proposal ensures the research is methodologically sound, feasible, and capable of producing valid and reliable results.

  • Align statistics with research objectives, and justify appropriateness of the chosen statistical approaches are for the study design and data type.
  • Sample size justification
  • Develop statistical analysis plan
  • Address validity and reliability
  • Provide a timeline for statistical activities
  • Anticipate reviewer concerns
Real-world Evidence

Real-World Data Analysis

We leverage large datasets generated from healthcare transactions, such as insurance claims and electronic medical records, for valuable insights into real-world healthcare patterns and outcomes.

  • Formulate clear, specific research questions or hypotheses and propose study design
  • Develop Statistical Analysis Plan
  • Data Cleaning and Preprocessing
  • Interpret results
  • Draft statistical components for study report
Software development

Statistical package development

We are experts in create software tools that facilitate statistical analysis, data manipulation, and visualization.

  • Define the Purpose and Scope
  • Design the Package Architecture
  • Implement Statistical Algorithms
  • User Interface and Documentation
  • Testing and Validation
  • Performance Optimization
  • User Support
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Small area estimation

Small Area Estimation

Our statistician are adept at navigating the challenges from with data at a granular level where direct estimates are unreliable or unavailable.

  • Needs Assessment and Problem Formulation
  • Data Evaluation and Preparation
  • Model Selection and Development
  • Model Validation and Diagnostics
  • Estimation and Prediction
  • Integrate with Geographic Information Systems
  • Policy Recommendations