Cross-Screening in Observational Studies that Test Many
Hypotheses
c(person("Paul", "Rosenbaum", email = "rosenbap@wharton.upenn.edu", role = c("aut")),
person("Qingyuan", "Zhao", email = "qyzhao@wharton.upenn.edu", role = c("aut", "cre")))
Cross-screening is a new method that uses both random halves of the sample to screen and test many hypotheses. It generally improves statistical power in observational studies when many hypotheses are tested simultaneously.
stats, sensitivitymw, parallel, plyr, tables
Paul Rosenbaum [aut],
Qingyuan Zhao [aut, cre]

Cross-screening is a new method that uses both random halves of the sample to screen and test many hypotheses. It generally improves statistical power in observational studies when many hypotheses are tested simultaneously. References: 1. Qingyuan Zhao, Dylan S Small, and Paul R Rosenbaum. Cross-screening in observational studies that test many hypotheses. <arXiv:1703.02078>. 2. Qingyuan Zhao. On sensitivity value of pair-matched observational studies. <arXiv:1702.03442>.

Verbal Autopsy Data Transformation for InSilicoVA and InterVA5
Algorithms
Enables transformation of Verbal Autopsy data collected with the WHO 2016 questionnaire (versions 1.4.1 & 1.5.1)
or the WHO 2014 questionnaire for automated coding of Cause of Death using the InSilicoVA (data.type = "WHO2016") and
InterVA5 algorithms. Previous versions of this package supported user-supplied mappings (via the map_records function), but
this functionality has been removed.  This package is made available by WHO and the Bloomberg Data for Health Initiative.
c(
person("Peter", "Byass", role = "aut"),
person("Eungang", "Choi", role = "aut"),
person("Sam", "Clark", role = "aut"),
person("Zehang", "Li", role = "aut"),
person("Nicolas", "Maire", role = "aut"),
person("Tyler", "McCormick", role = "aut"),
person("Jason", "Thomas", email = "jarathomas@gmail.com", role = c("aut", "cre"))
)
Peter Byass [aut],
Eungang Choi [aut],
Sam Clark [aut],
Zehang Li [aut],
Nicolas Maire [aut],
Tyler McCormick [aut],
Jason Thomas [aut, cre]