8 papers
Target-Aware Sequential Inference: Pooled versus Stratified Anytime-Valid Designs
Subir Hait
Sequential studies with heterogeneous strata may define the estimand under a target mixture that differs from the sampling distribution. We organize the design problem by guarantee…
Beyond Actor-Partner Associations: A Target-Trial Framework for Causal Spillover Effects in Longitudinal Dyadic Data
Subir Hait
Actor-partner interdependence models (APIMs) describe how one member's exposure is associated with that member's and the partner's outcomes, but actor and partner coefficients are…
When Is a Relevance Threshold Statistically Resolvable? Minimax Limits for Effect Classification
Subir Hait
Statistical precision and scientific relevance operate on different scales. In regular problems, sampling uncertainty contracts at rate , whereas the magnitude below whic…
Is the Linear Threshold Good Enough? A Scale-Free Parameter and Adequacy Test for Curvature-Induced Threshold Displacement
Subir Hait
Applied work often locates a threshold by linearizing a smooth function about a reference point and solving for the crossing. When the function is curved, the linear crossing can b…
Aggregation Distortion in Multilevel Mediation: Estimand Geometry, Design Dependence, and Diagnostics
Subir Hait
Researchers often summarize mediation in clustered data with a single-level product-of-coefficients estimator. We show what this pooled analysis estimates and why the target depend…
Design-Indexed Heterogeneity in Meta-Analysis: A Constrained Location-Scale Specification
Subir Hait
An analyst should not assume that a design score improves a meta-analysis simply because it is labeled as robustness. This paper treats declining heterogeneity along a prespecified…
Orthogonal Validation-Augmented Cox Regression with Internally Validated Failure Indicators Cross-Fitted Estimation, Risk-Set Linearization, and Validation Design
Subir Hait
Incomplete adjudication and endpoint misclassification arise when gold-standard event classification is available only for an internal validation sample. With accurate follow-up ti…
Evidence, Calibration, and Stability: A Triadic Framework for Hypothesis Testing Under Model Uncertainty
Subir Hait
Statistical tests are often asked to do too much. A single reported result is expected to describe what the observed data say, reassure readers about repeated-sampling behavior, an…