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CDISC ADaM Time Imputation Flag Terminology
Known as:
ADaM-TIMEFL
, TIMEFL
, Time Imputation Flag
Terminology associated with the Time Imputation Flag codelist of the Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model (ADaM…
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National Institutes of Health
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Clinical Data Interchange Standards Consortium Terminology
Papers overview
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2018
2018
HOTDECKVAR: Stata module for hotdeck imputation
Matthias Schonlau
2018
Corpus ID: 125473326
The algorithm identifies all donor observations that have no missing values for any of the variables specified. Missing values…
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Review
2018
Review
2018
Interpreting Clinical Trial Data
M. Amin
,
D. No
,
Kavita Darji
,
Jashin J. Wu
2018
Corpus ID: 80477851
Effective interpretation of clinical trial data allows for the integration of high-quality clinical research into clinical…
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2017
2017
Missing Data Classification of Chronic Kidney Disease
Wala Abedalkhader
,
Noora Abdulrahman
2017
Corpus ID: 51827300
In this paper we propose an approach on chronic kidney disease classification with the presence of missing data. We implemented a…
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2017
2017
Bootstrap imputation minimized misclassification bias when measuring Colles’ fracture prevalence and its associations using health administrative data
C. Walraven
2017
Corpus ID: 205846433
Review
2017
Review
2017
Bootstrap imputation minimized misclassification bias when measuring Colles' fracture prevalence and its associations using health administrative data.
C. van Walraven
Journal of Clinical Epidemiology
2017
Corpus ID: 196497517
2013
2013
Comparison of Missing Data Analysis Methods in Cox Proportional Hazard Models
N. Alkan
,
Y. Terzi
,
M. Cengiz
,
B. Alkan
2013
Corpus ID: 117402453
Objective: Data with missing value are common in clinical studies. This study investi - gated to assess the effects of different…
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Review
2012
Review
2012
Variance estimation of imputed estimators of change over time from repeated surveys
Y. Berger
,
Emilio L. Escobar
2012
Corpus ID: 55221613
Measuring change over time is a central problem for many users of social, eco-nomic and demographic data and is of interest in…
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