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Inverse probability weighting methods for Cox regression with right-truncated data
Bella Vakulenko-Lagun
, Micha Mandel
, Rebecca A. Betensky
Department of Statistics
Research output
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peer-review
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Dive into the research topics of 'Inverse probability weighting methods for Cox regression with right-truncated data'. Together they form a unique fingerprint.
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Keyphrases
Weighting Method
100%
Cox Regression
100%
Inverse Probability Weighting
100%
Truncated Data
100%
Covariate Effect
100%
Estimating Equation
100%
Consistent Estimation
66%
Cox Proportional Hazards Model
33%
Biased Estimation
33%
AIDS/HIV
33%
Cox Model
33%
Null Effects
33%
Virus Latency
33%
Effect-based Methods
33%
Events of Interest
33%
Positivity Assumption
33%
Partial Tests
33%
Baseline Hazard Function
33%
Baseline Hazard
33%
Selection Mechanism
33%
Mathematics
Probability Theory
100%
Proportional Hazards Model
100%
Truncated Data
100%
Covariate
75%
Estimating Equation
75%
Null
25%
Cox Proportional Hazards Model
25%
Hazard Function
25%
Identifiability
25%