Image de couverture de livre

ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Tianying, Zhang, Wenfei, Wei, Ying
Format:	Preprint
Publié:	2024
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

A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations
par: Wang, Tianying, et autres
Publié: (2022)

A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes
par: Wang, Zirui, et autres
Publié: (2025)

Extreme value methods for estimating rare events in Utopia
par: André, L. M., et autres
Publié: (2023)

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
par: Gao, Chenyin, et autres
Publié: (2024)

Stability of clinical prediction models developed using statistical or machine learning methods
par: Riley, Richard D, et autres
Publié: (2022)

A sampling method based on highest density regions: Applications to surrogate models for rare events estimation
par: Minini, Jocelyn, et autres
Publié: (2025)

Causal language jumps in clinical practice guidelines for diabetes management
par: Wang, Keling, et autres
Publié: (2025)

Tree models for covariate-dependent method agreement with repeated measurements in clinical research
par: Karapetyan, Siranush, et autres
Publié: (2026)

Investigating the performance of the Phase II Hotelling T2 chart when monitoring multivariate time series observations
par: Nadi, Adel Ahmadi, et autres
Publié: (2025)

A tutorial for propensity score weighting methods under violations of the positivity assumption
par: Liu, Yi, et autres
Publié: (2025)

STAMP: A shot-type-aware areal multilevel Poisson model for league-wide comparison of basketball shot charts
par: Yamada, Kazuhiro, et autres
Publié: (2026)

Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
par: Wang, Tianyi, et autres
Publié: (2026)

Combining missing data imputation and internal validation in clinical risk prediction models
par: Mi, Junhui, et autres
Publié: (2024)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
par: Datta, Jyotishka, et autres
Publié: (2023)

A new method for augmenting short time series, with application to pain events in sickle cell disease
par: Utkarsh, Kumar, et autres
Publié: (2026)

Data-driven controlled subgroup selection in clinical trials
par: Müller, Manuel M., et autres
Publié: (2025)

A nonparametric statistical method for deconvolving densities in the analysis of proteomic data
par: Anarat, Akin, et autres
Publié: (2025)

Bias reduction in g-computation for covariate adjustment in randomized clinical trials
par: Zhang, Xin, et autres
Publié: (2025)

A method for characterizing disease emergence curves from paired pathogen detection and serology data
par: Hewitt, Joshua, et autres
Publié: (2024)

A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
par: Ghosh, Dhrubajyoti, et autres
Publié: (2024)

Estimating temporary emigration from capture-recapture data in the presence of latent identification
par: Skopalova, Katarina, et autres
Publié: (2025)

Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
par: Karmakar, Barin, et autres
Publié: (2025)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
par: Retegui, Garazi, et autres
Publié: (2024)

Estimating the optimal time to perform a PET-PSMA exam in prostatectomized patients based on data from clinical practice
par: Amongero, Martina, et autres
Publié: (2023)

A multiscale method for data collected from network edges via the line graph
par: Cao, Dingjia, et autres
Publié: (2024)

Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies
par: Micoli, Chiara, et autres
Publié: (2024)

Improved order selection method for hidden Markov models: a case study with movement data
par: Dupont, Fanny, et autres
Publié: (2024)

General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome
par: Mosleth, Ellen Færgestad, et autres
Publié: (2024)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
par: Zou, Guangyong, et autres
Publié: (2026)

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
par: Li, Mingyuan, 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)

Statistics of extremes for natural hazards: landslides and earthquakes
par: Yadav, Rishikesh, et autres
Publié: (2024)

The R.O.A.D. to clinical trial emulation
par: Bertsimas, Dimitris, et autres
Publié: (2024)

A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
par: Sareff-Hibbert, Aydin, et autres
Publié: (2024)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
par: Bo, Na, et autres
Publié: (2024)

On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials
par: Yang, Peng, et autres
Publié: (2026)

Generalized Jeffreys's approximate objective Bayes factor: Model-selection consistency, finite-sample accuracy, and statistical evidence in 71,126 clinical trial findings
par: Velidi, Puneet, et autres
Publié: (2025)

A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions
par: Zhang, Xin, et autres
Publié: (2025)

New stochastic highway capacity estimation method and why product limit method is unsuitable
par: Mikolasek, Igor
Publié: (2020)

How to rank imputation methods?
par: Näf, Jeffrey, et autres
Publié: (2025)