Buchumschlag

On the estimation and interpretation of effect size metrics

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Loukas, Orestis, Chung, Ho Ryun
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Methodology Applications
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
von: Whitehead, Lou E., et al.
Veröffentlicht: (2024)

Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
von: Maeda, Hirotada, et al.
Veröffentlicht: (2026)

Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
von: Mukherjee, Aritra, et al.
Veröffentlicht: (2026)

Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
von: Garraza, Lucas Godoy, et al.
Veröffentlicht: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
von: Garraza, Lucas Godoy, et al.
Veröffentlicht: (2024)

Double machine learning to estimate the effects of multiple treatments and their interactions
von: Xiang, Qingyan, et al.
Veröffentlicht: (2025)

Marginally interpretable spatial logistic regression with bridge processes
von: Lee, Changwoo J., et al.
Veröffentlicht: (2024)

A totally empirical basis of science
von: Loukas, Orestis, et al.
Veröffentlicht: (2024)

A flexible and interpretable spatial covariance model for data on graphs
von: Christensen, Michael F., et al.
Veröffentlicht: (2022)

Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
von: Smith, E. Davies, et al.
Veröffentlicht: (2024)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
von: Williams, Nicholas, et al.
Veröffentlicht: (2025)

Treatment bootstrapping: A new approach to quantify uncertainty of average treatment effect estimates
von: Li, Jing
Veröffentlicht: (2023)

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
von: Dashti, S. Ghazaleh, et al.
Veröffentlicht: (2021)

Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19
von: Künsch, Hans R., et al.
Veröffentlicht: (2025)

Consistency assessment and regional sample size calculation for MRCTs under random effects model
von: Ren, Xinru, et al.
Veröffentlicht: (2025)

A Symmetric Random Scan Collapsed Gibbs Sampler for Fully Bayesian Variable Selection with Spike-and-Slab Priors
von: Chung, Mengta
Veröffentlicht: (2026)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
von: Liu, Xueqing, et al.
Veröffentlicht: (2023)

A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
von: Schaller, Ophélie, et al.
Veröffentlicht: (2026)

Risk-Adjusted learning curve assessment using comparative probability metrics
von: Nadi, Adel Ahmadi, et al.
Veröffentlicht: (2025)

Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
von: Bian, Yuan, et al.
Veröffentlicht: (2026)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
von: Lee, JoonHo
Veröffentlicht: (2026)

Design Effect Ratios for Bayesian Survey Models: A Diagnostic Framework for Identifying Survey-Sensitive Parameters
von: Lee, JoonHo
Veröffentlicht: (2026)

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
von: Sidrow, Evan, et al.
Veröffentlicht: (2024)

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
von: Baumann, Mary Ryan, et al.
Veröffentlicht: (2025)

Large-scale metric objects filtering for binary classification with application to abnormal brain connectivity detection
von: He, Shuaida, et al.
Veröffentlicht: (2024)

Reliability of stochastic capacity estimates
von: Mikolasek, Igor
Veröffentlicht: (2026)

The effect of collinearity and sample size on linear regression results: a simulation study
von: van der Lubbe, Stephanie CC, et al.
Veröffentlicht: (2026)

Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
von: Murphy-Barltrop, C. J. R., et al.
Veröffentlicht: (2023)

A Bayesian theory for estimation of biodiversity
von: Rigon, Tommaso, et al.
Veröffentlicht: (2025)

On cross-validation for small area estimators
von: Dong, Qianyu, et al.
Veröffentlicht: (2026)

Stochastic highway capacity: Unsuitable Kaplan-Meier estimator, revised maximum likelihood estimator, and impact of speed harmonisation
von: Mikolášek, Igor
Veröffentlicht: (2025)

Personalized Imputation in metric spaces via conformal prediction: Applications in Predicting Diabetes Development with Continuous Glucose Monitoring Information
von: Matabuena, Marcos, et al.
Veröffentlicht: (2024)

Profile least squares estimation in networks with covariates
von: Chandna, Swati, et al.
Veröffentlicht: (2024)

Methods for differential network estimation: an empirical comparison
von: Plaksienko, Anna, et al.
Veröffentlicht: (2024)

Effects of model misspecification on small area estimators
von: Chen, Yuting, et al.
Veröffentlicht: (2024)

Direct covariance matrix estimation with compositional data
von: Molstad, Aaron J., et al.
Veröffentlicht: (2022)

A Comparison of Zero-Inflated Models for Modern Biomedical Data
von: Beveridge, Max, et al.
Veröffentlicht: (2024)

Comparing estimators of discriminative performance of time-to-event models
von: Jin, Ying, et al.
Veröffentlicht: (2024)

Nonparametric estimation of the Patient Weighted While-Alive Estimand
von: Ragni, Alessandra, et al.
Veröffentlicht: (2024)

Bayesian estimation of clustered dependence structures in functional neuroconnectivity
von: Kim, Hyoshin, et al.
Veröffentlicht: (2023)