The role of model selection in causal inference from nonexperimental data

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations.

Biometrika·2025

Using negative controls to identify causal effects with invalid instrumental variables.

Biometrika·2025

Multiple robustness in factorized likelihood models.

Biometrika·2018

Instrumental variables as bias amplifiers with general outcome and confounding.

Biometrika·2017

Marginal Mean Models for Dynamic Regimes.

Journal of the American Statistical Association·2009

Causal models for estimating the effects of weight gain on mortality.

International journal of obesity (2005)·2008

Bias in Estimating Subcritical Reproduction Numbers Under Imperfect Observation and Overlapping Transmission Chains: Theoretical Framework and Application to Mpox.

American journal of epidemiology·2026

Co-exposure confounding and amplification of bias-an exploration with practical interpretation and perspectives.

American journal of epidemiology·2026

Sustained fish intake and 21-year Alzheimer's disease risk: a target trial emulation.

American journal of epidemiology·2026

Health Consequences of Spousal Health Shocks: Evidence from a Matched Event Study in the United States.

American journal of epidemiology·2026

The Long Half-Life of Neighborhood Poverty: Duration, Timing, and Biological Aging.

American journal of epidemiology·2026

Evolving Identities or Racial Misclassification? Fluidity in race response among American Indian birthing people in Michigan and implications for public health surveillance.

American journal of epidemiology·2026

Calibrated Model Criticism Using Split Predictive Checks.

Journal of the American Statistical Association·2026

The rights and wrongs of rescaling in population genetics simulations.

PLoS genetics·2026

Stratification in small randomised clinical trials and analysis of covariance: Some simple theory and recommendations.

Statistical methods in medical research·2026

Doubly robust and efficient calibration of prediction sets for right-censored time-to-event outcomes.

Biometrika·2026

Estimating latent neuronal nonlinear dynamics by sequential Monte Carlo method and sparse modeling.

Journal of computational neuroscience·2026

Exploring Heterogeneity in Meta-Analysis Using Trial-Level Characteristics: A Tutorial.

Cochrane evidence synthesis and methods·2026

Related Experiment Videos

The role of model selection in causal inference from nonexperimental data

Related Concept Videos

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations.

Using negative controls to identify causal effects with invalid instrumental variables.

Multiple robustness in factorized likelihood models.

Instrumental variables as bias amplifiers with general outcome and confounding.

Marginal Mean Models for Dynamic Regimes.

Causal models for estimating the effects of weight gain on mortality.

Bias in Estimating Subcritical Reproduction Numbers Under Imperfect Observation and Overlapping Transmission Chains: Theoretical Framework and Application to Mpox.

Co-exposure confounding and amplification of bias-an exploration with practical interpretation and perspectives.

Sustained fish intake and 21-year Alzheimer's disease risk: a target trial emulation.

Health Consequences of Spousal Health Shocks: Evidence from a Matched Event Study in the United States.

The Long Half-Life of Neighborhood Poverty: Duration, Timing, and Biological Aging.

Evolving Identities or Racial Misclassification? Fluidity in race response among American Indian birthing people in Michigan and implications for public health surveillance.

Calibrated Model Criticism Using Split Predictive Checks.

The rights and wrongs of rescaling in population genetics simulations.

Stratification in small randomised clinical trials and analysis of covariance: Some simple theory and recommendations.

Doubly robust and efficient calibration of prediction sets for right-censored time-to-event outcomes.

Estimating latent neuronal nonlinear dynamics by sequential Monte Carlo method and sparse modeling.

Exploring Heterogeneity in Meta-Analysis Using Trial-Level Characteristics: A Tutorial.

Related Experiment Videos

The role of model selection in causal inference from nonexperimental data

Related Concept Videos

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