Biomarker Prognostic Enrichment Tool for Time-to-Event Trial
c(
person("Si", "Cheng", email="chengsi@uw.edu", role = c("cre", "aut")),
person("Kathleen F.","Kerr", email="katiek@uw.edu", role = "ctb"))
Prognostic Enrichment is a strategy of enriching a clinical trial for testing an intervention intended to prevent or delay an unwanted clinical event.  A prognostically enriched trial enrolls only patients who are more likely to experience the unwanted clinical event than the broader patient population (R. Temple (2010) <doi:10.1038/clpt.2010.233>). By testing the intervention in an enriched study population, the trial may be adequately powered with a smaller sample size, which can have both practical and ethical advantages.
This package provides tools to evaluate biomarkers for prognostic enrichment of clinical trials with survival/time-to-event outcomes.
Si Cheng [cre, aut],
Kathleen F. Kerr [ctb]

Franziska Hoffgaard <hoffgaard@bio.tu-darmstadt.de>, with
contributions from Philipp Weil <weil@bio.tu-darmstadt.de> and
Kay Hamacher <hamacher@bio.tu-darmstadt.de>
Utilities and functions to investigate the relation
between biomolecular structures, their interactions, and the
evolutionary information revealed in sequence alignments of
these molecules.

Several tools for analyzing diagnostic tests and 2x2 contingency tables are provided. In particular, positive and negative predictive values for a diagnostic tests can be calculated from prevalence, sensitivity and specificity values. For contingency tables, relative risk and odds ratio measures are estimated. Furthermore, confidence intervals are provided.

c(person(given="Piyal",family="Karunarathne", email="piyalkarumail@yahoo.com", role = c("aut", "cre"),comment = c(ORCID = "0000-0002-1934-145X")),person(given="Pascal", family="Milesi", role = "aut",comment = c(ORCID = "0000-0001-8580-4291")),person(given="Pierrick",family="Labbé",role="aut",comment=c(ORCID="0000-0003-0806-1919")))
A robust framework for analyzing mortality data from bioassays for one or several strains/lines/populations.
markdown, rmarkdown, knitr, testthat (>= 2.0.0), covr
Piyal Karunarathne [aut, cre] (<https://orcid.org/0000-0002-1934-145X>),
Pascal Milesi [aut] (<https://orcid.org/0000-0001-8580-4291>),
Pierrick Labbé [aut] (<https://orcid.org/0000-0003-0806-1919>)