The osDesign serves for planning an observational study. Currently, functionality is focused on the two-phase and case-control designs. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model.
|Author||Sebastien Haneuse, Takumi Saegusa, Nilanjan Chaterjee, Norman Breslow, Elizabeth Smoot|
|Date of publication||2014-08-06 20:48:01|
|Maintainer||Sebastien Haneuse <email@example.com>|
|License||GPL (>= 3)|
beta0: Calculate the intercept of a logistic regression model, given...
ccPower: Simulation-based estimation of power for the case-control...
ccSim: Simulation function for case-control study designs.
enumerate: Enumerate Function
hybdes: Hybrid Design MLE and likelihood
hybdesEco: Hybrid Design in the Pure Ecological setting - MLE
infants: Infant mortality data from North Carolina
infants0709: Infant vital statistic data from North Carolina
logit: Logit and inverse-logit functions
Ohio: Ohio lung cancer data
phaseI: Expected phase I stratification
plotPower: Plot function for power, based on two-phase and case-control...
rmvhyper: Random generation for the multivariate hypergeometric...
rXhyper: Random generation for the multivariate hypergeometric...
tps: Estimation for two-phase designs.
tpsPower: Simulation-based estimation of power for the two-phase study...
tpsSim: Simulation function for two-phase study designs.