Add to ORKGMissing data are a common issue in medical research. In this series of articles, we seek to explain in nontechnical language some of the important ideas about missing data and how they can be addressed in practice, using examples from orthodontic studies. We start with a discussion of why missing data are problematic
markdownabstractThe clinical study with no missing data has yet to be conducted – and never will be!...
The clinical study with no missing data has yet to be conducted – and never will be! Yet, despite it...
Missing data are a prevailing problem in any type of data analyses. A participant variable is consid...
Missing data are a common issue in medical research. In this series of articles, we seek to explain ...
Evidence-based research in health care has been developed well in recent years. One of the biggest c...
Aim. The aims of this study were to highlight the problems associated with missing data in healthca...
Missing data (a) reside at threemissing data levels of analysis (item-, construct-, and person-level...
<p>It is practically impossible to avoid losing data in the course of an investigation, and it has b...
Introduction. Missing data is a common problem in research and can produce severely misleading analy...
Social science datasets usually have missing cases, and missing values. All such missing data has th...
Background: Missing data is a common statistical problem in healthcare datasets fro...
It is practically impossible to avoid losing data in the course of an investigation, and it has been...
When a randomized controlled trial has missing outcome data, any analysis is based on untestable ass...
Missing data is an eternal problem in data analysis. It is widely recognised that data is costly to ...
Missing data are common and exist as a part of nursing research. They are related mainly to methodol...
markdownabstractThe clinical study with no missing data has yet to be conducted – and never will be!...
The clinical study with no missing data has yet to be conducted – and never will be! Yet, despite it...
Missing data are a prevailing problem in any type of data analyses. A participant variable is consid...
Missing data are a common issue in medical research. In this series of articles, we seek to explain ...
Evidence-based research in health care has been developed well in recent years. One of the biggest c...
Aim. The aims of this study were to highlight the problems associated with missing data in healthca...
Missing data (a) reside at threemissing data levels of analysis (item-, construct-, and person-level...
<p>It is practically impossible to avoid losing data in the course of an investigation, and it has b...
Introduction. Missing data is a common problem in research and can produce severely misleading analy...
Social science datasets usually have missing cases, and missing values. All such missing data has th...
Background: Missing data is a common statistical problem in healthcare datasets fro...
It is practically impossible to avoid losing data in the course of an investigation, and it has been...
When a randomized controlled trial has missing outcome data, any analysis is based on untestable ass...
Missing data is an eternal problem in data analysis. It is widely recognised that data is costly to ...
Missing data are common and exist as a part of nursing research. They are related mainly to methodol...
markdownabstractThe clinical study with no missing data has yet to be conducted – and never will be!...
The clinical study with no missing data has yet to be conducted – and never will be! Yet, despite it...
Missing data are a prevailing problem in any type of data analyses. A participant variable is consid...