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Title  Sensitivity Analysis of Missing Data 
Graph_Subgroup  General Principles 
Code Added  Yes 
Description  X and Y depict the percentage of the missing data which is imputed as responder. Z depicts the resulting chisquare statistic, twosided alpha = 0.05 significance level would be 3.84 (cyan). 
Contributor/Email  Mat Soukup (email: Mat.Soukup@fda.hhs.gov) 
Background 
Binary outcome is defined as a two grade improvement from baseline value. The data set is from a randomly generated data set located on the OB network drive. Impact 
Special Considerations 

Date  Original 
Original Date  2007 
Modified Date 

Use/Suitability  Publication 
Software Program  R 
Software 

RCode  Attachment  Rscript: Sensitivity Analysis of Missing Data 
RCode 
dat < read.csv('//cdsnas/oebdbdms/Graphics/Datasets/CleanTrial.csv') eot < subset(dat, visit%in%6) eot$binep < ifelse(base$catvareot$catvar >= 2, 1, 0) # Reduce size of data for easier calculation ii < sample(1:1500, 500, replace=FALSE) eot2 < eot[ii,] # Force some of the data to be missing (10% of data) set.seed(77) ww < sample(1:1000, 100, replace=FALSE) eot2$binep[ww] < NA ind < eot2$binep[eot2$trtf%in%'Active'] ctl < eot2$binep[eot2$trtf%in%'Placebo'] source("//cdsnas/oebdbdms/Graphics/Scripts/MissSens.txt") #png('C:/Research/Graphics/Graphs4Display/webpages/classes/pages/images/misspersp.png', # width=500, height=500) pp < miss.plot(ind, # Trt. arm with missing ctl, # Control arm with missing theta=305, # See option theta in persp phi=25, # See option phi in persp nticks=5, # See option nticks in persp zpch.cex=1, # Size of the square plotted on the zaxis plane=FALSE, border='black', ltheta=305, lphi=25, main="") #dev.off() 
SASCode  Attachment 

SASCode 

StataCode  Attachment 

StataCode 

Other Code  Attachment 

Other Code 

Keywords  sensitivity analysis, missing data, chisquare statistic 
OPTIONAL FIELDS 

References 

Datasets 

Data 

Attached Data 

CATEGORIZATIONS 

ClassificationEvaluation  Efficacy 
ClassificationGraph Type  Perspective Plot 
Graph_Type  Perspective Plot 
Variable Relationship  Categorical versus Categorical 
Data Types  Categorical 
Special Cases 

Disclaimer  The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated. 
Permission 
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF ERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT OLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 
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