cc.505

0th

Percentile

Select Biomarkers from the HVTN 505 Correlates Analysis

See reference.

Usage
data("cc.505")
Format

A data frame with 189 observations on the following 27 variables.

ptid

a character vector

trt

a numeric vector

case

a numeric vector

control

a numeric vector

perprot

a numeric vector

last_uninfec_immun_vst

a numeric vector

racefull

a numeric vector

racefulltxt

a character vector

bmi

a numeric vector

bmicat

a numeric vector

bmicattxt

a character vector

earliest_pos_vst

a numeric vector

level

a character vector

matchlevel

a character vector

samplingfraction

a numeric vector

vst9subcohort

a numeric vector

HIVwk28preunbl

a numeric vector

age

a numeric vector

racecc

a character vector

bhvrisk

a numeric vector

BMI

a numeric vector

stratuminds_vaccs

a numeric vector

stratuminds

a numeric vector

cd4.env.poly

a numeric vector

cd8.env.poly

a numeric vector

mfounders

a numeric vector

wei

a numeric vector

References

Fong, Y, Xu, J. Multi-Stage Simultaneous Deep Autoencoder-based Monotone (MSS-DAM) Nonlinear Dimensionality Reduction Methods, Journal of Computational and Graphical Statistics, in press.

Aliases
  • cc.505
Documentation reproduced from package FSDAM, version 2020.11-18, License: GPL (>= 2)

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