Calculates Significance Criteria and Power for a Single Arm
Trial
Given a database of previous treatment/placebo estimates, their standard errors and sample sizes,
the program calculates a significance criteria and power estimate that takes into account the among
trial variation.

Group Sequential Design for Historical Control Trial with
Survival Outcome
Rdpack, diversitree, mvtnorm, flexsurv, stats, survival
c(person("Tushar", "Patni", role = c("aut", "cre"),email = "patni006@umn.edu"),person("Yimei", "Li", role = "aut"),person("Jianrong", "Wu", role = "aut"),person("Arzu", "Onar-Thomas", role = "aut"))
It provides functions to design historical controlled trials with survival outcome by group sequential method. The options for interim look boundaries are efficacy only, efficacy & futility or futility only. It also provides the function to monitor the trial for any unplanned look. The package is based on Jianrong Wu, Xiaoping Xiong (2016) <doi:10.1002/pst.1756> and Jianrong Wu, Yimei Li (2020) <doi:10.1080/10543406.2019.1684305>.
Tushar Patni [aut, cre],
Yimei Li [aut],
Jianrong Wu [aut],
Arzu Onar-Thomas [aut]

Rdpack, diversitree, mvtnorm, flexsurv, stats, survival,
crayon

c(person("Tao", "Jiang", role = c("aut", "cre"),
email = "tjiang8@ncsu.edu"))
A novel searching scheme for tuning parameter in high-dimensional
penalized regression. We propose a new estimate of the regularization
parameter based on an estimated lower bound of the proportion of false
null hypotheses (Meinshausen and Rice (2006) <doi:10.1214/009053605000000741>).
The bound is estimated by applying the empirical null distribution of the higher
criticism statistic, a second-level significance testing, which is constructed
by dependent p-values from a multi-split regression and aggregation method
(Jeng, Zhang and Tzeng (2019) <doi:10.1080/01621459.2018.1518236>). An estimate
of tuning parameter in penalized regression is decided corresponding to the lower
bound of the proportion of false null hypotheses. Different penalized
regression methods are provided in the multi-split algorithm.