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Standardization and Control for Confounding in Observational Studies: A Historical Perspective
Niels Keiding, David Clayton
Section of Biostatistics
18
Citations (Scopus)
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Dive into the research topics of 'Standardization and Control for Confounding in Observational Studies: A Historical Perspective'. Together they form a unique fingerprint.
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Mathematics
Background
33%
Confounding
93%
Failure Time
42%
Log-linear Models
46%
Logistic Regression
41%
Modeling
49%
Multiple Regression
44%
Necessary
25%
Nonlinear Regression
44%
Observational Study
98%
Refinement
33%
Regression
58%
Regression Analysis
38%
Standardization
97%
Stratification
41%
Weighting
76%
Business & Economics
Confounding
86%
Historical Perspective
83%
Log-linear Models
36%
Logistic Regression
35%
Modeling
29%
Multiple Regression Analysis
25%
Nonlinear Regression
33%
Observational Study
100%
Standardization
79%
Weighting
48%