NTHRYS › PhD Assistance › Biostatistics

Biostatistics

Field

▾

Biostatistics

Select a category to explore research frontiers

Loading categories...

Research Frontiers in Causal Inference in Observational Studies

Advances methods for estimating causal effects from non-randomized data using propensity scores, instrumental variables, and structural equation modeling.

Unmeasured Confounding: Detection and Sensitivity Bounds

Causal Inference Under Network Interference and Spillover Effects

Dynamic Treatment Regimes in Complex Real-World Data

Synthetic Control Methods for Heterogeneous Policy Evaluation

Causal Discovery Algorithms in High-Dimensional Observational Data

Transportability and Generalization Across Distinct Populations

Mediation Analysis in Latent and Hierarchical Structures

Causal Inference with Incomplete Data and Missing Mechanisms

Doubly Robust Estimation Beyond Linear and Parametric Models

Time-Varying Confounding in Longitudinal Observational Cohorts

All Biostatistics PhD categories