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查看斯高帕斯 (Scopus) 概要
陳 瓊梅
教授
公共衛生研究所
https://orcid.org/0000-0001-6824-4819
電話
02-28267000#67036
電子郵件
cmchen2
nycu.edu
tw
h-index
h10-index
h5-index
282
引文
11
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
207
引文
9
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
59
引文
4
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2008
2024
每年研究成果
概覽
指紋
網路
研究成果
(40)
類似的個人檔案
(6)
指紋
查看啟用 Chyong-Mei Chen 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Asymptotic Properties
18%
Chronic Kidney Disease
30%
Competing Risks Data
19%
Conditional Maximum Likelihood Estimator
19%
COVID-19 Pandemic
19%
Cure Fraction
35%
Cure Model
39%
Cure Rate
16%
Current Status Data
19%
Dyslipidemia
19%
EM Algorithm
19%
Estimating Equation
22%
Estimation Method
15%
Event Time
32%
Examination Time
29%
Failure Time
67%
Full Likelihood
14%
Interval Censoring
54%
Joint Analysis
19%
Joint Model
25%
Left-truncated
31%
Likelihood Approach
20%
Likelihood Function
15%
Logistic Regression Model
18%
Mean Residual Life
19%
Mixture Cure Model
31%
Multivariate Failure Time Data
19%
Non-susceptible
20%
Nonparametric Maximum Likelihood Estimator (NPMLE)
24%
Pairwise Association
14%
Peritoneal Dialysis
26%
Peritoneal Dialysis Patients
23%
Recurrent Events
15%
Regression Analysis
16%
Regression Model
18%
Regression Parameters
20%
Rheumatoid Arthritis
19%
Right-censored Data
41%
Semiparametric Mixture
30%
Semiparametric Regression Analysis
19%
Semiparametric Transformation
24%
Semiparametric Transformation Model
51%
Simulation Study
49%
Taiwan
36%
Terminal Event
29%
Test-driven Development
19%
Truncated-censored Data
31%
Two-stage Estimation
19%
Uncured
19%
Vascular Thrombosis
19%
Mathematics
Additive Model
9%
Asymptotic Property
20%
Biased Sampling
14%
Biostatistics
9%
Censored Data
90%
Competing Risk
19%
Competing Risk Data
29%
Conditional Likelihood
14%
Conditionals
23%
Covariate
80%
Disease Progression
9%
EM Algorithm
20%
Estimating Equation
30%
Estimation Stage
22%
Event Time
46%
Failure Time
100%
Inferential Statistics
14%
Interquartile Range
9%
Likelihood Approach
23%
Likelihood Function
20%
Linear Models
9%
Linear Transformation
9%
Logistic Regression Model
24%
Longitudinal Data
9%
Longitudinal Study
19%
Marginal Model
12%
Maximum Likelihood
22%
Maximum Likelihood Estimator
51%
Measurement Error
17%
Median
9%
Mixture Model
9%
Model Behavior
9%
Multiplicative
16%
Probability Theory
25%
Rate Function
9%
Regression Model
23%
Regression Parameter
25%
Residual Life
29%
Residuals
12%
Secondary Schools
9%
Simulation Study
64%
Survival Analysis
9%
Survival Data
18%
Survival Model
14%
Survival Rate
9%
Survival Time
11%
Susceptible Individual
12%
Synthetic Estimator
9%
Transformation Model
69%
Truncation
14%
