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ODS  

Statistical Methods for Outcome-Dependent Sampling Designs
View on CRAN: Click here


Download and install ODS package within the R console
Install from CRAN:
install.packages("ODS")

Install from Github:
library("remotes")
install_github("cran/ODS")

Install by package version:
library("remotes")
install_version("ODS", "0.2.0")



Attach the package and use:
library("ODS")
Maintained by
Yinghao Pan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2018-11-19
Description:
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In ODS designs, one observes the exposure/covariates with a probability that depends on the outcome variable. Popular ODS designs include case-control for binary outcome, case-cohort for time-to-event outcome, and continuous outcome ODS design (Zhou et al. 2002) . Because ODS data has biased sampling nature, standard statistical analysis such as linear regression will lead to biases estimates of the population parameters. This package implements four statistical methods related to ODS designs: (1) An empirical likelihood method analyzing the primary continuous outcome with respect to exposure variables in continuous ODS design (Zhou et al., 2002). (2) A partial linear model analyzing the primary outcome in continuous ODS design (Zhou, Qin and Longnecker, 2011) . (3) Analyze a secondary outcome in continuous ODS design (Pan et al. 2018) . (4) An estimated likelihood method analyzing a secondary outcome in case-cohort data (Pan et al. 2017) .
How to cite:
Yinghao Pan (2018). ODS: Statistical Methods for Outcome-Dependent Sampling Designs. R package version 0.2.0, https://cran.r-project.org/web/packages/ODS. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other packages that cited ODS R package
View ODS citation profile
Other R packages that ODS depends, imports, suggests or enhances
Complete documentation for ODS
Functions, R codes and Examples using the ODS R package
Some associated functions: Bfct . Estimate_PLMODS . casecohort_data_secondary . gcv_ODS . logspace . ods_data . ods_data_secondary . odsmle . quantileknots . se.spmle . secondary_ODS . secondary_casecohort . 
Some associated R codes: casecohort_secondary.R . ods-MSELE.R . ods-PLM.R . ods_secondary.R .  Full ODS package functions and examples
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