Advanced Epidemiological & Causal Inference Services

Outcome Squad offers specialized services in epidemiology to address complex public health challenges. From rapid emergency assessments to rigorous causal inference, we provide the expertise to turn data into decisive action.

Target Trial Emulation (TTE)

A framework for causal inference from observational data. TTE improves studies by mimicking a hypothetical Randomized Controlled Trial (RCT), reducing bias and strengthening evidence-based conclusions from real-world data.

Key Components of Target Trial Design:

  • Eligibility Criteria: Specific characteristics for inclusion/exclusion.
  • Treatment Strategies: Clearly defined, comparative interventions.
  • Assignment Procedures: Emulating random assignment by adjusting for confounders.
  • Follow-up & Outcomes: Clearly defined time points and measurable endpoints.
  • Causal Contrasts & Analysis Plan: Specifying intent-to-treat or per-protocol effects and statistical methods.

Epidemiological Surveillance

Continuous, systematic collection, analysis, and interpretation of health-related data. Essential for planning, implementing, and evaluating public health practices and responses.

Key Components:

  • Clear Objectives: Defining the purpose and scope of surveillance.
  • Systematic Data Collection: Establishing reliable and consistent data sources.
  • Ongoing Analysis & Interpretation: Regularly analyzing data to identify trends, outbreaks, and patterns.
  • Timely Dissemination: Communicating findings to public health officials and stakeholders to inform action.

CASPER Rapid Needs Assessment

An epidemiologic technique using rapid cluster sampling to provide household-level data for informed decision-making during public health emergencies and disaster response.

Key Features:

  • Rapid Implementation: Designed for quick deployment in emergency settings.
  • Household-Level Data: Gathers information directly from affected populations.
  • Statistically Valid: Uses a two-stage cluster sampling method to generate valid estimates.
  • Actionable Information: Provides timely data to guide resource allocation and public health interventions.