marginal structural models – Clinical Trials 101

Biostatistics for RWE: Methods That Turn Routine Data into Decision-Ready Estimates (2025)

November 7, 2025 digi

Biostatistics for RWE: Methods That Turn Routine Data into Decision-Ready Estimates (2025) Biostatistics for Real-World Evidence: Design-Anchored Methods That Withstand Scrutiny Foundations: Estimands, Evidence Chains, and a Harmonized Regulatory Frame Biostatistics translates messy, heterogeneous real-world data (RWD) into real-world evidence (RWE) that decision-makers can rely on. In observational research, the mathematics must start with design,…

Biostatistics for RWE, Real-World Evidence (RWE) & Observational Studies

Causal Inference & Bias Mitigation in RWE: Target Trial Emulation and Robust Estimation (2025)

November 6, 2025 digi

Causal Inference & Bias Mitigation in RWE: Target Trial Emulation and Robust Estimation (2025) Causal Inference and Bias Mitigation for Real-World Evidence That Withstands Scrutiny Principles, Estimands, and a Harmonized Regulatory Frame Real-world evidence (RWE) is persuasive when three elements line up: a precise causal question, a defensible design that answers it, and end-to-end provenance…

Causal Inference & Bias Mitigation, Real-World Evidence (RWE) & Observational Studies