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OriginalStatGraphicsForm edit

Image
SBP by Visit
Click on image to enlarge.
Title Systolic Blood Pressure (Main Profiles)
Graph_Subgroup General Principles
Code Added Yes
Description For each treatment group, a 95% confidence of the mean systolic blood pressure is calculated for each visit. The number of subjects with measurements at each visit is included in the lower portion of the graph.
Contributor/Email Mat Soukup (email: Mat.Soukup@fda.hhs.gov)
Background This is an example to show that blood pressure increases up through visit 5 and then returns towards baseline for the active.
Special Considerations

Date Original
Original Date 2007
Modified Date

Use/Suitability Presentation
Software Program R
Software

R-Code - Attachment R-script: Systolic Blood Pressure (Mean Profiles} - Attached
R-Code library(lattice)
library(Hmisc)

set.seed(46)
sbpc <- round(c(rnorm(10, 118, 5)), 1)
sbpc[c(1,9,10)] <- c(119.1,118.6,117.7)
sbpa <- c(118.1, 122.7, 125.6, 133.1, 136.7, 134.2, 131.0, 126.2, 124.3, 125.1)
sda <- round(rnorm(10, 1.2, .1),1)
sdc <- round(rnorm(10, 1.2, .1),1)
na <- c(112, 112, 111, 110, 110, 108, 106, 105, 104, 102)
nc <- c(113, 112, 110, 108, 108, 108, 104, 103, 100, 100)
lcla <- sbpa-round(1.96*sda/sqrt(sda),1)
ucla <- sbpa+round(1.96*sda/sqrt(sda),1)
lclc <- sbpc-round(1.96*sdc/sqrt(sdc),1)
uclc <- sbpc+round(1.96*sdc/sqrt(sdc),1)
# Write out table to be used in slides
dat <- data.frame(na,sbpa,sda,lcla,ucla,nc,sbpc,sdc,lclc,uclc)



plotdat <- data.frame(Mean=c(sbpa,sbpc),
UCL=c(ucla,uclc),
LCL=c(lcla,lclc),
xx=c(1:10-.1,1:10+.1),
TRT=as.factor(rep(c('Active','Control'), each=10)))

#### Create the vital signs graph
#png('C:/Research/Graphics/Graphs4Display/webpages/classes/pages/images/VSsbp.png',
# width=500, height=500)

new.back <- trellis.par.get("background")
new.back$col <- "white"
newcol <- trellis.par.get("superpose.symbol")
newcol$col <- c('blue','black')
newcol$pch <- c(16,17,4,8)
new.line <- trellis.par.get("superpose.line")
new.line$col <- c('blue','black')
new.line$lty <- c(1,1,1,1)
new.pan <- trellis.par.get("strip.background")
new.pan$col <- c('gray90','white')
trellis.par.set("background", new.back)
trellis.par.set("superpose.symbol", newcol)
trellis.par.set("superpose.line", new.line)
trellis.par.set("strip.background",new.pan)

xYplot(Cbind(Mean,LCL,UCL)~xx, groups=TRT, data=plotdat,
type='b',
ylim=c(min(c(lcla,lclc))-3.5, max(c(ucla,uclc))+1), ph=1.5, lwd=2,
xlab='Vist Number',
ylab='Systolic Blood Pressure',
pch=trellis.par.get('superpose.symbol')$pch[1:2],
label.curves=FALSE,
cex=1.25,
scales=list(y=list(at=c(111,110,115,120,125,130,135),
labels=c(expression(N[C]),expression(N[A]),'115','120','125','130','135')),
x=list(at=1:10, labels=1:10)),
key=list(
lines=list(type='o',
col=trellis.par.get("superpose.symbol")$col[1:2],
lty=trellis.par.get('superpose.line')$lty[1:2],
pch=trellis.par.get('superpose.symbol')$pch[1:2],
size=3),
text=list(
lab=c('Active','Control'),
col=trellis.par.get('superpose.line')$col[1:2]),
columns=2, title='Treatment'))
trellis.focus('panel',1,1, highlight=FALSE)
ltext(1:10, rep(111,10), labels=nc, col='black')
ltext(1:10, rep(110,10), labels=na, col='blue')
trellis.unfocus()
#dev.off()
SAS-Code - Attachment

SAS-Code

Stata-Code - Attachment

Stata-Code

Other Code - Attachment

Other Code

Keywords safety analysis, treatment group, confidence interval
OPTIONAL FIELDS

References

Datasets

Data

Attached Data

CATEGORIZATIONS

Classification-Evaluation Safety
Classification-Graph Type

Graph_Type Line Plot
Variable Relationship Continuous versus Categorical
Data Types Categorical and Continuous
Special Cases

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Reference Image VSsbp_Reference_200.png
Topic revision: r14 - 18 Jun 2012 - 11:32:43 - MaryBanach
 

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