A Likelihood Based Approach for Joint Modeling of Longitudinal Trajectories and Informative Censoring Process [0.03%]
基于联合分析纵向轨迹和信息删失过程的似然方法研究
Miran A Jaffa,Ayad A Jaffa
Miran A Jaffa
We propose a joint modeling likelihood-based approach for studies with repeated measures and informative right censoring. Joint modeling of longitudinal and survival data are common approaches but could result in biased estimates if proport...
Alan D Hutson
Alan D Hutson
In this note we propose a newly formulated skew exponential power distribution that behaves substantially better than previously defined versions. This new model performs very well in terms of the large sample behavior of the maximum likeli...
Calculating Power for the General Linear Multivariate Model With One or More Gaussian Covariates [0.03%]
具有一个或多个高斯协变量的广义线性多元模型的功效计算
S M Kreidler,B M Ringham,K E Muller et al.
S M Kreidler et al.
We describe a noncentral ℱ power approximation for hypotheses about fixed predictors in general linear multivariate models with one or more Gaussian covariates. The results apply to both single and multiple parameter hypotheses. The approa...
B M Ringham,S M Kreidler,K E Muller et al.
B M Ringham et al.
Under an assumption that missing values occur randomly in a matrix, formulae are developed for the expected value and variance of six statistics that summarize the number and location of the missing values. For a seventh statistic, a regres...
Conditionally unbiased estimation in the normal setting with unknown variances [0.03%]
方差未知时正常情况下无偏估计条件下的估算
David S Robertson,Ekkehard Glimm
David S Robertson
To efficiently and completely correct for selection bias in adaptive two-stage trials, uniformly minimum variance conditionally unbiased estimators (UMVCUEs) have been derived for trial designs with normally distributed data. However, a com...
Automatic Structure Discovery for Varying-coefficient Partially Linear Models [0.03%]
变系数部分线性模型的自动结构发现方法研究
Guangren Yang,Yanqing Sun,Xia Cui
Guangren Yang
Varying-coefficient partially linear models provide a useful tools for modeling of covariate effects on the response variable in regression. One key question in varying-coefficient partially linear models is the choice of model structure, t...
Joint modeling of multivariate hearing thresholds measured longitudinally at multiple frequencies [0.03%]
多重频率下纵向多变量听阈的联合建模方法研究
Mulugeta Gebregziabher,Mark A Eckert,Lois J Matthews et al.
Mulugeta Gebregziabher et al.
Pure-tone thresholds are used to estimate hearing acuity and, when measured longitudinally, can characterize age-related changes in hearing. Measured at multiple-frequencies, multiple-irregular time points, for right and left ears, these lo...
Sample Size Estimation for Comparing Rates of Change in K-group Repeated Count Outcomes [0.03%]
K组重复计数结果变化率比较的样本量估计方法研究
Ying Lou,Jing Cao,Chul Ahn
Ying Lou
Sample size estimation for comparing the rates of change in two-arm repeated measurements has been investigated by many investigators. In contrast, the literature has paid relatively less attention to sample size estimation for studies with...
Using repeated measures to correct correlated measurement errors through orthogonal decomposition [0.03%]
利用正交分解通过重复测量来纠正相关测量误差
Chang Yu,Sanguo Zhang,Christine Friedenreich et al.
Chang Yu et al.
In a physical activity study, the 7-day physical activity log viewed as an alloyed gold standard was used to correct the measurement error in the physical activity questionnaire. Due to correlations between the errors in the two measurement...
Conditional moving linear regression: modeling the recruitment process for ALLHAT [0.03%]
条件递归线性回归在ALLHAT试验中的应用
Dejian Lai,Qiang Zhang,Jose-Miguel Yamal et al.
Dejian Lai et al.
Effective recruitment is a prerequisite for successful execution of a clinical trial. ALLHAT, a large hypertension treatment trial (N = 42, 418), provided an opportunity to evaluate adaptive modeling of recruitment processes using condition...