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A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data
Ying Zhang
, Lei Hua, Jian Huang
Research output
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Contribution to journal
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Article
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peer-review
85
Scopus citations
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Dive into the research topics of 'A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data'. Together they form a unique fingerprint.
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Mathematics
Cumulative Hazard Function
78%
Interval-censored Data
71%
Semiparametric Estimation
69%
Cox Model
67%
Baseline
59%
Maximum Likelihood Estimation
50%
Spline
49%
Regression
41%
B-spline Function
36%
Estimator
32%
Monotone Function
30%
Standard error
28%
Maximum Likelihood Estimate
26%
Maximum Likelihood
23%
Roots
20%
Simulation Study
19%
Converge
17%
Performance
16%
Business & Economics
Maximum Likelihood Estimation
100%
Censored Data
79%
Cox Model
78%
Hazard Function
75%
Splines
71%
Maximum Likelihood
54%
Estimation Method
54%
Estimator
43%
B-spline
41%
Standard Error
30%
Finite Sample
29%
Simulation Study
25%
Inference
22%
Performance
10%