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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
352
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。
262
引文
10
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。
83
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
2026
每年研究成果
概覽
指紋
網路
研究成果
(44)
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
Mathematics
Failure Time
100%
Censored Data
90%
Covariate
90%
Transformation Model
69%
Simulation Study
66%
Maximum Likelihood Estimator
51%
Event Time
46%
Regression Analysis
38%
Estimating Equation
32%
Competing Risk Data
29%
Residual Life
29%
Regression Parameter
25%
Probability
25%
Logistic Regression Model
24%
Maximum Likelihood
24%
Conditionals
23%
Likelihood Approach
23%
Regression Model
23%
Estimation Stage
22%
Asymptotic Property
21%
Likelihood Function
20%
EM Algorithm
20%
Survival Data
19%
Competing Risk
19%
Measurement Error
17%
Likelihood
17%
Multiplicative
16%
Truncation
14%
Survival Model
14%
Inferential Statistics
14%
Survival Time
14%
Conditional Likelihood
14%
Biased Sampling
14%
Marginal Model
12%
Susceptible Individual
12%
Residuals
12%
Longitudinal Study
9%
Linear Transformation
9%
Survival Analysis
9%
Linear Models
9%
Mixture Model
9%
Additive Model
9%
Synthetic Estimator
9%
Rate Function
9%
Biostatistics
9%
Longitudinal Data
9%
Disease Progression
9%
Logistic Regression
9%
Quantile
9%
Asymptotic Normality
9%
Keyphrases
Semiparametric Transformation Model
43%
Interval Censoring
41%
Failure Time
38%
Cure Model
37%
Cure Fraction
34%
Taiwan
32%
Right-censored Data
31%
Peritoneal Dialysis Patients
30%
Simulation Study
30%
Mixture Cure Model
27%
Chronic Kidney Disease
27%
Examination Time
22%
Left-truncated
21%
Truncated-censored Data
21%
Semiparametric Mixture
21%
Hemodialysis Patients
21%
Non-susceptible
19%
Mean Residual Life
19%
Semiparametric Regression Analysis
19%
Vascular Thrombosis
19%
Rheumatoid Arthritis
19%
Competing Risks Data
19%
Dyslipidemia
19%
COVID-19 Pandemic
19%
Regression Parameters
18%
Conditional Maximum Likelihood Estimator
17%
Uncured
17%
Regression Model
16%
Semiparametric Maximum Likelihood
16%
Peritoneal Dialysis
16%
Logistic Regression Model
15%
Semiparametric Transformation
14%
Longitudinal Data
14%
COVID-19
14%
Low-density Lipoprotein
14%
Length-biased Sampling
14%
Pairwise Association
14%
Susceptible Individuals
14%
Rheumatoid Arthritis Patients
14%
Coronary Artery Disease
14%
EM Algorithm
14%
Likelihood Approach
14%
Cure Rate
13%
High-density Lipoprotein Cholesterol (HDL-C)
12%
Health Systems
12%
Observation Time
12%
Asymptotic Properties
11%
Risk Factors
11%
Population-based Retrospective Cohort Study
11%
National Cohort Study
11%
