Copertina

Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Dadong Zhang, Jingye Wang, Suqin Cai, Johan Surtihadi
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2024
Soggetti:	Statistics in Medicine
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Likelihood Confidence Intervals for Misspecified Cox Models
di: Yongwu Shao, et al.
Pubblicazione: (2026)

Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance
di: David S. Robertson, et al.
Pubblicazione: (2025)

Confidence Intervals for AUC and pAUC by Empirical Likelihood
di: Yumin Zhao, et al.
Pubblicazione: (2025)

Confidence Intervals and Sample Size for the ICC in Two‐Way ANOVA Models
di: Dipro Mondal, et al.
Pubblicazione: (2025)

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
di: Yi Chen, et al.
Pubblicazione: (2026)

Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies
di: Abderrahmane Bourredjem, et al.
Pubblicazione: (2024)

Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model
di: Soumya Sahu, et al.
Pubblicazione: (2026)

Bayesian Adaptive Enrichment Design for Continuous Biomarkers
di: Yue Tu, et al.
Pubblicazione: (2025)

Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles With Applications to Drug Shelf‐Life Estimation
di: Lingjiao Wang, et al.
Pubblicazione: (2025)

Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
di: Yipeng Wei, et al.
Pubblicazione: (2026)

The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study
di: Alex Carriero, et al.
Pubblicazione: (2025)

Exposure Measurement Error Correction in Longitudinal Studies With Discrete Outcomes
di: Ce Yang, et al.
Pubblicazione: (2025)

On Window Mean Survival Time With Interval‐Censored Data
di: Takuto Iijima, et al.
Pubblicazione: (2026)

RMST for Interval‐Censored Data in Oncology Clinical Trials
di: Xiyuan Gao, et al.
Pubblicazione: (2025)

An Augmented Approach for Regression Analysis of Case‐Cohort Interval‐Censored Failure Time Data
di: Yichen Lou, et al.
Pubblicazione: (2025)

Expected Value of Sample Information Calculations for Risk Prediction Model Development
di: Abdollah Safari, et al.
Pubblicazione: (2026)

Mediation Analysis of Failure Time Data Under Interval Censoring
di: Yanpeng Shi, et al.
Pubblicazione: (2026)

Confidence sets for a level set in linear regression
di: Fang Wan, et al.
Pubblicazione: (2024)

Confidence Set for the Cluster of a Spatial Scan Statistic
di: Junho Lee
Pubblicazione: (2026)

Interpretable Deep Regression Models With Interval‐Censored Failure Time Data
di: Changhui Yuan, et al.
Pubblicazione: (2026)

Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
di: David Svensson, et al.
Pubblicazione: (2026)

Sieve Maximum Likelihood Estimation of Partially Linear Transformation Models With Interval‐Censored Data
di: Changhui Yuan, et al.
Pubblicazione: (2024)

Confidence distributions for treatment effects in clinical trials: Posteriors without priors
di: Ian C. Marschner
Pubblicazione: (2024)

Confidence intervals for odds ratio from multistage randomized phase II trials
di: Shiwei Cao, et al.
Pubblicazione: (2024)

Discussion of “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching”
di: Stijn Vansteelandt, et al.
Pubblicazione: (2025)

Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval‐Censored Outcomes
di: Chun Yin Lee, et al.
Pubblicazione: (2025)

Risk‐Profile Based Monitoring Intervals for Multivariate Longitudinal Biomarker Measurements and Competing Events With Applications in Stable Heart Failure
di: Teun B. Petersen, et al.
Pubblicazione: (2025)

Correction to “Using principal stratification in analysis of clinical trials”
di: Ilya Lipkovich, et al.
Pubblicazione: (2024)

Covariate‐adjusted generalized pairwise comparisons in small samples
di: Stijn Jaspers, et al.
Pubblicazione: (2024)

A New Streaming K‐Nearest Neighbor Algorithm for Status Prediction in Block‐Sparse, Autocorrelated, Irregular Longitudinal Data
di: Xin Zhao, et al.
Pubblicazione: (2025)

Correction to “Propensity score weighting for covariate adjustment in randomized clinical trials”
di: Shuxi Zeng, et al.
Pubblicazione: (2024)

Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies
di: Haolin Li, et al.
Pubblicazione: (2025)

Constructing a T ‐Test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
di: Minxin Lu, et al.
Pubblicazione: (2025)

Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction
di: Wenze Tang, et al.
Pubblicazione: (2026)

A Corrected Score Approach for Proportional Hazards Model With Error‐Contaminated Covariates Subject to Detection Limits
di: Xiao Song, et al.
Pubblicazione: (2025)

Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions
di: Hannah Klinkhammer, et al.
Pubblicazione: (2024)

Extending the Median Odds Ratio ( MOR ), the Interval Odds Ratio ( IOR ), and the Proportion of Opposed Odds Ratios ( POOR ) for Use With 3‐Level Multilevel Logistic Regression Models
di: Peter C. Austin, et al.
Pubblicazione: (2026)

Correction for Participation Bias in Nonprobability Samples Using Multiple Reference Surveys
di: Victoria Landsman, et al.
Pubblicazione: (2026)

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data
di: Adam Gorm Hoffmann, et al.
Pubblicazione: (2025)

Missing Value Imputation With Adversarial Random Forests— MissARF
di: Pegah Golchian, et al.
Pubblicazione: (2026)