Description Usage Format Details Source References Examples
This dataset include the sensitivity and specificity for prediction of inadequate GWG at the end of pregnancy from falling below the respective cut-off values in each respective month as well as the likelihood ratio to assess how much the information on falling below the cut-off values improves the a priori probabilities for inadequate and adequate total GWG for obese women (starting with the 2nd month or week 4/1-8/0). The data is based on 186 obese women from two German cohorts (see Description).
1 | data("OB_below")
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A data frame with 9 observations on the following 13 variables.
month of pregnancy
vector of sensitivity estimators
vector of lower bound of the confidence interval of the sensitivity estimators
vector of upper bound of the confidence interval of the sensitivity estimators
vector of specificity estimators
vector of lower bound of the confidence interval of the specificity estimators
vector of upper bound of the confidence interval of the specificity estimators
vector of positive likelihood ratio estimators
vector of lower bound of the confidence interval of the positive likelihood ratio estimators
vector of upper bound of the confidence interval of the positive likelihood ratio estimators
vector of negative likelihood ratio estimators
vector of lower bound of the confidence interval of the negative likelihood ratio estimators
vector of upper bound of the confidence interval of the negative likelihood ratio estimators
Exact binomial 95% confidence intervals (CI) were calculated for sensitivity and specificity and the 95% CI of the likelihood ratios were calculated as suggested by Simel et al. (1991).
Knabl J, Riedel C, Gmach J et al. (2013). Prediction of excessive or inadequate gestational weight gain from week-specific IOM/NRC cut-off values. submitted.
Simel D, Samsa G, Matchar D (1991). Likelihood ratios with confidence: Sample size estimation for diagnostic test studies. Journal of Clinical Epidemiology 44.p 763 - 770.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | data("OB_below")
#Plot of positive likelihood ratios for inadequate GWG for obese women
plot(OB_below$month, OB_below$lr.pos.est,
xlim=c(1,10),
ylim=c(0,20),
main="LR+ for inadequate GWG",
ylab="likelihood ratio",
xlab="month",
cex.main=2,
font.main=1,
cex.lab=1.9,
cex.axis=1.5)
lines(OB_below$month, OB_below$lr.pos.est, lty=1,lwd=4)
lines(OB_below$month, OB_below$lr.pos.lower, lty=2,lwd=4)
lines(OB_below$month, OB_below$lr.pos.upper, lty=2,lwd=4)
abline(h=2,lwd=1, col="grey")
abline(h=4,lwd=1, col="grey")
abline(h=6,lwd=1, col="grey")
abline(h=8,lwd=1, col="grey")
abline(h=10,lwd=1, col="grey")
abline(h=12,lwd=1, col="grey")
abline(h=14,lwd=1, col="grey")
abline(h=16,lwd=1, col="grey")
abline(h=18,lwd=1, col="grey")
axis(1, c(3,5,7,9), cex.axis=1.5)
legend("topleft", c("lr+ estimate", "lr+ confidence interval"),
col=c("black", "black"), lty=c(1,2),
bg="white", cex=1.5, lwd=c(3,3))
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