Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 238,711,471 papers from all fields of science
Search
Sign In
Create Free Account
Multiple Imputation Technique
The substitution of missing data with the average derived from multiple datasets of data that is not missing.
National Institutes of Health
Create Alert
Alert
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
A Two-Sample Parametric Test for Partly Interva-Censored Data with Nonproportional Hazard
A. Alharpy
,
N. Ibrahim
2014
Corpus ID: 59475106
In clinical trials and engineering studies that are followed by periodic follow-ups, it is predominantly to have partly interval…
Expand
Review
2012
Review
2012
Firms' investment decisions in fragile states.
J. Hayes
2012
Corpus ID: 37067626
‘Civil war, private portfolios and growth in Africa’ The thesis will provide analytical insights and empirical evidence on civil…
Expand
Review
2007
Review
2007
Distribution-Based and Individual Anchor-Based Methods Assessing Responsiveness of Cancer-Related Fatigue Instruments :
S. Shun
,
S. Beck
,
M. Pett
,
S. Richardson
2007
Corpus ID: 41411943
Background. The aims of the study were to examine the responsiveness of Chinese versions of the Cancer Fatigue Scale (C-CFS), the…
Expand
Review
2007
Review
2007
Using Multiple Imputation Technique to Correct for Measurement Error and Statistical Disclosure Control in Sensitive Count Data in a National Survey
Mandi Yu
2007
Corpus ID: 18282031
Measurement error in sensitive question is pervasive, therefore, biasing the estimation of most statistical models. The objective…
Expand
2007
2007
Spiess , Keller : A mixed approach and a distribution free multiple imputation technique for the estimation of multivariate probit models with missing values
M. Spiess
,
Ferdinand Keller
2007
Corpus ID: 13286901
In the present paper a mixed generalized estimating pseudo score equa tions GEPSE approach together with a distribution free…
Expand