CIMPLE-package: CIMPLE: Analysis of Longitudinal Electronic Health Record...
In CIMPLE: Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time
CIMPLE-package R Documentation
CIMPLE: Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time
Description
Analyzes longitudinal Electronic Health Record (EHR) data with possibly informative observational time. These methods are grouped into two classes depending on the inferential task. One group focuses on estimating the effect of an exposure on a longitudinal biomarker while the other group assesses the impact of a longitudinal biomarker on time-to-diagnosis outcomes. The accompanying paper is Du et al (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2410.13113")}.
Author(s)
Maintainer: Howard Baik howard.baik@yale.edu (ORCID)
Authors:
Jiacong Du jiacong@umich.edu (ORCID)
CIMPLE documentation built on April 4, 2025, 4:45 a.m.
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| CIMPLE-package | R Documentation |
CIMPLE: Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time
Description
Analyzes longitudinal Electronic Health Record (EHR) data with possibly informative observational time. These methods are grouped into two classes depending on the inferential task. One group focuses on estimating the effect of an exposure on a longitudinal biomarker while the other group assesses the impact of a longitudinal biomarker on time-to-diagnosis outcomes. The accompanying paper is Du et al (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2410.13113")}.
Author(s)
Maintainer: Howard Baik howard.baik@yale.edu (ORCID)
Authors:
Jiacong Du jiacong@umich.edu (ORCID)
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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