dat.gen {xmeta}

Generate bivariate meta analysis studies

Description

Generate bivariate meta analysis studies based on random-effects model, some studies with smallest weighted sum of the two outcomes are suppressed.

Usage

dat.gen(
  m.o,
  m.m,
  s.m,
  angle.LC = pi/4,
  mybeta,
  tau.sq,
  rho.w,
  rho.b,
  s.min = 0.01,
  m.m.o = 0,
  s2.dist = 2,
  verbose = F
)

Arguments

m.o

number of observed studies

m.m

number of missing / suppressed studies

s.m

vector of the mean of the variances of the two outcomes

angle.LC

direction of suppressing line, default is pi/4, i.e. the studies on the left bottom corner are missing

mybeta

the true center of the effect sizes

tau.sq

between-study variance, the larger it is the more heterogeneity.

rho.w

within-study correlation of the two outcomes

rho.b

between-study correlation of the two outcomes

s.min

minimum of the variances of the outcomes, default is 0.01

m.m.o

number of studies on one side of the suppressing line been observed, i.e. non-deterministic suppressing, default is 0, i.e. deterministic suppressing

s2.dist

options for generating the outcomes' variances. 1=runif, 2=runif^2, 3=runif^4, 4=rnorm

verbose

logical, galaxy plot the studies? Default FALSE

Author(s)

Chongliang Luo, Yong Chen

References

Luo C, Marks-Anglin AK, Duan R, Lin L, Hong C, Chu H, Chen Y. Accounting for small-study effects using a bivariate trim and fill meta-analysis procedure. medRxiv. 2020 Jan 1.