Image de couverture de livre

Priming bias versus post-treatment bias in experimental designs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Blackwell, Matthew, Brown, Jacob R., Hill, Sophie, Imai, Kosuke, Yamamoto, Teppei
Format:	Preprint
Publié:	2023
Sujets:	Methodology Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GenAI Powered Dynamic Causal Inference with Unstructured Data
par: Nakamura, Kentaro, et autres
Publié: (2026)

Design-based inference for generalized network experiments with stochastic interventions
par: Chattopadhyay, Ambarish, et autres
Publié: (2023)

PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
par: Rauh, Adam, et autres
Publié: (2025)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
par: Goplerud, Max, et autres
Publié: (2022)

Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
par: Mukaigawara, Mitsuru, et autres
Publié: (2025)

Improving Minority Population Sampling with BISG Probabilities: Evidence from a Survey of Jewish Americans
par: Chasalow, Kyla, et autres
Publié: (2026)

Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
par: Blackwell, Matthew, et autres
Publié: (2024)

Link prediction in ecological networks under extreme taxonomic bias
par: Kampe, Jennifer N., et autres
Publié: (2025)

Correcting inferences for volunteer-collected data with geospatial sampling bias
par: Lugtig, Peter, et autres
Publié: (2022)

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
par: Imai, Kosuke, et autres
Publié: (2022)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
par: Cheng, Chao, et autres
Publié: (2023)

Causal inference and racial bias in policing: New estimands and the importance of mobility data
par: Huang, Zhuochao, et autres
Publié: (2024)

Considering parallel tempering and comparing post-treatment procedures in Bayesian Profile Regression Models for a survival outcome and correlated exposures
par: Julie, Fendler, et autres
Publié: (2025)

Longitudinal Causal Inference with Selective Eligibility
par: Jiang, Zhichao, et autres
Publié: (2024)

When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence
par: Kuh, Swen, et autres
Publié: (2026)

Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
par: Li, Michael Lingzhi, et autres
Publié: (2023)

Principal stratification with continuous treatments and continuous post-treatment variables
par: Antonelli, Joseph, et autres
Publié: (2023)

Strategy to control biases in prior event rate ratio method, with application to palliative care in patients with advanced cancer
par: Ma, Xiangmei, et autres
Publié: (2024)

Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas
par: Funk, Henri, et autres
Publié: (2024)

Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
par: Hamaya, Rikuta, et autres
Publié: (2025)

Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models
par: Zhou, Yi, et autres
Publié: (2024)

What makes a study design quasi-experimental? The case of difference-in-differences
par: Renson, Audrey, et autres
Publié: (2025)

Assurance Methods for designing a clinical trial with a delayed treatment effect
par: Salsbury, James, et autres
Publié: (2023)

Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies
par: Ben-Michael, Eli, et autres
Publié: (2024)

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
par: Howes, Adam, et autres
Publié: (2025)

Introducing the b-value: combining unbiased and biased estimators from a sensitivity analysis perspective
par: Lin, Zhexiao, et autres
Publié: (2026)

Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome
par: Wolock, Charles J., et autres
Publié: (2024)

Study of the influence of a biased database on the prediction of standard algorithms for selecting the best candidate for an interview
par: Wang, Shuyu, et autres
Publié: (2025)

Bayesian calendar-time survival analysis with epidemic curve priors and variant-specific infection hazards
par: Dahl, Angela M, et autres
Publié: (2026)

COBRA: Comparison-Optimal Betting for Risk-limiting Audits
par: Spertus, Jacob
Publié: (2023)

Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
par: Woodward, Sophie M., et autres
Publié: (2025)

Robust and efficient multiple-unit switchback experimentation
par: Missault, Paul, et autres
Publié: (2025)

Parametric model for post-processing visibility ensemble forecasts
par: Baran, Ágnes, et autres
Publié: (2023)

Natural direct effects of vaccines and post-vaccination behaviour
par: Gonçalves, Bronner P., et autres
Publié: (2026)

Estimating average treatment effects when treatment data are absent in a target study
par: Wen, Lan, et autres
Publié: (2025)

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
par: Bian, Yuan, et autres
Publié: (2026)

Defining Utility as a Measure of Preference Under Uncertainty in Phase I-II Oncology Dose Finding Trials
par: Hall, Andrew, et autres
Publié: (2025)

Clustering-based spatial interpolation of parametric post-processing models
par: Baran, Sándor, et autres
Publié: (2024)

Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
par: Zhang, Jeffrey, et autres
Publié: (2025)

A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
par: Komaki, Moka, et autres
Publié: (2025)