ascopubs.org

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized? The following represents disclosure information provided by authors ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Drexel University

Instrumental Variable Methods for Cancer Comparative Effectiveness Studies: Do they help or hurt?

The department of Epidemiology and Biostatistics at Dornsife presents Nandita Mitra, PhD, professor of Biostatistics in the department of Biostatistics at University of Pennsylvania. Bias due to ...
Harvard Business School

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...
Nature

Instrumental Variables Estimation Techniques in Econometrics

Instrumental variables (IV) estimation addresses endogeneity arising when an explanatory variable correlates with the error term, biasing ordinary least squares (OLS ...
University of Bristol

Dr Rachael Hughes

I am a senior lecturer in Medical Statistics within the MRC Integrative Epidemiology Unit. My main research interests are quantitative bias analysis, analysis in the presence of missing data, causal ...