Cover Image

Causally Sound Priors for Binary Experiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Irons, Nicholas J., Cinelli, Carlos
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modelling intransitivity in pairwise comparisons with application to baseball data
by: Spearing, Jess, et al.
Published: (2021)

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)

A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
by: Spearing, Jess, et al.
Published: (2023)

Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)

Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
by: Tran, Allen, et al.
Published: (2023)

Optimal Priors for the Discounting Parameter of the Normalized Power Prior
by: Shen, Yueqi, et al.
Published: (2023)

Z-Dip: a standardized measure for data modality assessment
by: Di Martino, Edoardo, et al.
Published: (2025)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)

Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)

Prior Elicitation for Generalised Linear Models and Extensions
by: Hosack, Geoffrey R.
Published: (2023)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)

Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)

Community Correlations and Testing Independence Between Binary Graphs
by: Shen, Cencheng, et al.
Published: (2019)

Prior distributions for Gaussian processes in computer model emulation and calibration
by: Gu, Mengyang, et al.
Published: (2025)

Causal inference with a functional outcome
by: Ecker, Kreske, et al.
Published: (2023)

Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)

Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)

Priors from Envisioned Posterior Judgments: A Novel Elicitation Approach With Application to Bayesian Clinical Trials
by: Ouyang, Yongdong, et al.
Published: (2024)

Evaluating Binary Outcome Classifiers Estimated from Survey Data
by: Wadekar, Adway S., et al.
Published: (2023)

lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)

Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)

Causal Networks of Infodemiological Data: Modelling Dermatitis
by: Scutari, Marco, et al.
Published: (2025)

Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025)

Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)

A Diagnostic Tool for Functional Causal Discovery
by: Prakash, Shreya, et al.
Published: (2024)

Targeted Parameter Estimation for Robust Empirical Bayes Ranking
by: Henderson, Nicholas C., et al.
Published: (2025)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)

Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)

Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
by: Blackwell, Matthew, et al.
Published: (2024)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)

Model Selection for Causal Modeling in Missing Exposure Problems
by: Shi, Yuliang, et al.
Published: (2024)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)

Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)