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A semiparametric model for randomly truncated data
Mei Cheng Wang
Bloomberg School of Public Health
Research output
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Contribution to journal
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Article
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peer-review
122
Scopus citations
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Dive into the research topics of 'A semiparametric model for randomly truncated data'. Together they form a unique fingerprint.
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Mathematics
Truncated Data
97%
Semiparametric Model
83%
Truncation
70%
Maximum Likelihood Estimate
59%
Nonparametric Model
41%
Censoring
25%
Kaplan-Meier Estimate
19%
Estimate
16%
Biostatistics
16%
Censored Data
12%
Infection
12%
Influence
9%
Random variable
8%
Curve
7%
Business & Economics
Semiparametric Model
100%
Maximum Likelihood
41%
Nonparametric Model
32%
Censoring
23%
Censored Data
12%
Infection
9%
Random Variables
8%