missingdata相关论文
During the acquisition of electroencephalographic (EEG) signals,data may be missing or corrupted by noise and artifacts.......
The main challenge in the context of cure rate analysis is that one never knows whether censored subjects are cured or u......
Doubly Robust Estimation of Partially Linear Models for Longitudinal Data with Dropouts and Measurem
Missing responses and mis-measured covariates arise typically in longitudinal studies and,if no attention is paid to cor......
Semi-competing risks data arise when two types of events,non-terminal and terminal,may be observed.When the terminal eve......
Longitudinal data is one of the important primary endpoint types in clinical trial.Usually it is analyzed using mixed-ef......
Tertiary care facilities often maintain registries of patients with longitudinal follow-up to create a platform for rese......
We introduce an efficient iterative algorithm,intended for various least squares problems,based on a design of experimen......
Within-subject dependence is a characteristic of longitudinal clinical trials,but accurate modeling of this dependence i......
In this presentation we investigated some properties related to multiple imputation,including: How to select variables i......
Coping with missing data in Phase Ⅲ pivotal registration trials:Tolvaptan in Subjects with kidney di
Missing data cause challenging issues,particularly in Phase Ⅲ registration trials,as highlighted by the European Medici......
A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-analysis of
In studies evaluating the accuracy of diagnostic tests,three designs are commonly used:(1)the crossover design;(2)the ra......
When planning sample size in confirmatory trials,the sample size is estimated from hypothesized effect size of the under......
Longitudinal survival data are often collected from clinical studies.Mixed-effects joint models are commonly used for th......
目的数据缺失是队列研究中几乎无法避免的问题。本文旨在通过模拟研究，比较当前常见的8种缺失数据处理方法在纵向缺失数据中的填补......
In this paper,we consider the estimation of the regression parameter β defined by an estimating equation E{G[Y,S,X,......
C.elegans is a widespread model organism because of its invariant cell lineage among embryogenesis in normal individ......
One of the most common challenges in biomedical and psychosocial research is missing data, which occurs when respondents......
