Outcomedependent sampling (ODS) schemes are costeffective 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 casecontrol for binary outcome, casecohort for timetoevent 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 two 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).
Package details 


Author  Yinghao Pan [aut, cre], Haibo Zhou [aut], Mark Weaver [aut], Guoyou Qin [aut], Jianwen Cai [aut] 
Maintainer  Yinghao Pan <[email protected]> 
License  GPL (>= 2) 
Version  0.1.0 
URL  https://github.com/YinghaoPan/ODS 
Package repository  View on GitHub 
Installation 
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