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Estimating multiple time-fixed treatment effects using a semi-Bayes semiparametric marginal structural Cox proportional hazards regression model
for the CNICS Investigators
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
1
Scopus citations
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Dive into the research topics of 'Estimating multiple time-fixed treatment effects using a semi-Bayes semiparametric marginal structural Cox proportional hazards regression model'. Together they form a unique fingerprint.
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Mathematics
Proportional Hazards Regression
100%
Cox Regression
96%
Hazard Models
91%
Fixed Effects
83%
Treatment Effects
76%
Bayes
75%
Regression Model
58%
Marginal Structural Models
29%
Weighted Estimating Equations
26%
Data Augmentation
23%
Bayes Estimation
23%
Simulation Experiment
19%
Prior distribution
17%
Coverage
17%
Confidence interval
14%
Performance
10%
Estimate
8%
Model
5%
Business & Economics
Proportional Hazards
99%
Treatment Effects
79%
Regression Model
58%
Finite Sample Bias
54%
Data Augmentation
27%
Confidence Interval
25%
Structural Model
23%
Simulation Experiment
19%
Performance
6%