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Bias correction for nonignorable missing counts of areal HIV new diagnosis
Tianyi Qu
, Bo Li
, Man pui Sally Chan
, Dolores Albarracin
Arts & Sciences
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'Bias correction for nonignorable missing counts of areal HIV new diagnosis'. Together they form a unique fingerprint.
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Mathematics
Matrix (Mathematics)
100%
Likelihood Function
100%
Factorization
100%
Biased Estimate
100%
Missing At Random
100%
Numerical Analysis
100%
Missingness
100%
Model Specification
100%
Model Misspecification
100%
Missing Mechanism
100%
Keyphrases
New Diagnosis
100%
Nonignorable Missingness
100%
Bias Correction
100%
Philadelphia
50%
Left-censored
50%
Adverse Influence
25%
Biased Estimation
25%
Missingness
25%
Likelihood Function
25%
Confidentiality
25%
Public Health Data
25%
Matrix Factorization
25%
Missing at Random
25%
Likelihood-based Methods
25%
Model Specification
25%
Model Misspecification
25%
Missing Data Mechanism
25%
Non-parametric Algorithm
25%
Censored Values
25%
HIV Data
25%