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Classify hyperdiploidy status of multiple myeloma patients using gene expression profiles
Classify hyperdiploidy status multiple myeloma patients expression profiles
2016/1/25
Multiple myeloma (MM) is a cancer of antibody-making plasma cells. It frequently harbors alterations in DNA and chromosome copy numbers, and can be divided into two major subtypes, hyperdiploid (HMM) ...
Classify hyperdiploidy status of multiple myeloma patients using gene expression profiles
Classify hyperdiploidy status multiple myeloma patients expression profiles
2016/1/20
Multiple myeloma (MM) is a cancer of antibody-making plasma cells. It frequently harbors alterations in DNA and chromosome copy numbers, and can be divided into two major subtypes, hyperdiploid (HMM) ...
Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data
Bivariate current status data constrained maximum likelihood estimation empirical process sieve maximum likelihood estimation tensor spline basis functions
2012/11/23
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically. This paper develops a tensor spline-based s...
Semiparametric Additive Transformation Model under Current Status Data
B-spline Consistent variance estimation Current status data Efficient estimation Semiparametric transformation models
2011/6/16
We consider the efficient estimation of the semiparametric additive transformation model
with current status data. A wide range of survival models and econometric models can be incorporated
into thi...
Likelihood ratio type two-sample tests for current status data
Nonparametric two sample tests current status data likelihood ratio Weibull distribu-tions
2011/3/24
We introduce fully nonparametric two sample tests for testing the null hypothesis that the two samples come from the same distribution if the values are only indirectly given via current status censor...
Likelihood ratio type two-sample tests for current status data
Nonparametric two sample tests current status data, likelihood ratio Weibull distribu-tions
2011/3/23
We introduce fully nonparametric two sample tests for testing the null hypothesis that the two samples come from the same distribution if the values are only indirectly given via current status censor...
Smooth plug-in inverse estimators in the current status continuous mark model
asymptotic distribution bivariate kernel estimation continuous mark variable consistency current status data plug-in estimation
2011/3/21
We consider the problem of estimating the joint distribution function of the event time and a continuous mark variable when the event time is subject to interval censoring case 1 and the continuous ma...
Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model
Current status data maximum smoothed likelihood smoothedmaximum likelihood distribution estimation density estimation hazard rate estimation
2010/3/9
We consider the problem of estimating the distribution function,
the density and the hazard rate of the (unobservable) event time in
the current status model. A well studied and natural nonparametri...