<p> † It is possible that the investigators collected but did not report the data. * Data analysis might have included assumptions about missing participant data. ITT = intention to treat; CCA = complete case analysis. § Refers to ineligible participants mistakenly randomized and meeting the conditions for appropriate exclusion (see text), and to participants with other reasons for appropriate exclusion (e.g., subsequently found not to have condition of interest, or never underwent a procedure for which the intervention is intended).</p
Missing data is a common challenge to any researcher in almost any field of research. In particular,...
BACKGROUND: Intention-to-treat (ITT) analysis requires all randomised individuals to be included in ...
A major problem in the analysis of clinical trials is missing data caused by patientsdropping out of...
BACKGROUND AND OBJECTIVES: In order for authors of systematic reviews to address missing data in ran...
When potentially associated with the likelihood of outcome, missing participant data represents a se...
Missing outcome data of trial participants is a frequent phenomenon in RCTs and may represent a seri...
Systematic reviewer authors intending to include all randomized participants in their meta-analyses ...
Objectives: To describe how systematic review authors report and address categories of participants ...
When a randomized controlled trial has missing outcome data, any analysis is based on untestable ass...
Artículo de publicación ISIObjectives We conducted a systematic survey of the methodological literat...
to treat analysis in clinical trials when there are missing data The problem If you open any book ab...
Systematic reviewer authors intending to include all randomized participants in their meta-analyses ...
Missing data is a potential source of bias in the results of randomised controlled trials (RCTs), wh...
Missing outcome data are common in clinical trials and despite a well-designed study protocol, some ...
Evidence-based research in health care has been developed well in recent years. One of the biggest c...
Missing data is a common challenge to any researcher in almost any field of research. In particular,...
BACKGROUND: Intention-to-treat (ITT) analysis requires all randomised individuals to be included in ...
A major problem in the analysis of clinical trials is missing data caused by patientsdropping out of...
BACKGROUND AND OBJECTIVES: In order for authors of systematic reviews to address missing data in ran...
When potentially associated with the likelihood of outcome, missing participant data represents a se...
Missing outcome data of trial participants is a frequent phenomenon in RCTs and may represent a seri...
Systematic reviewer authors intending to include all randomized participants in their meta-analyses ...
Objectives: To describe how systematic review authors report and address categories of participants ...
When a randomized controlled trial has missing outcome data, any analysis is based on untestable ass...
Artículo de publicación ISIObjectives We conducted a systematic survey of the methodological literat...
to treat analysis in clinical trials when there are missing data The problem If you open any book ab...
Systematic reviewer authors intending to include all randomized participants in their meta-analyses ...
Missing data is a potential source of bias in the results of randomised controlled trials (RCTs), wh...
Missing outcome data are common in clinical trials and despite a well-designed study protocol, some ...
Evidence-based research in health care has been developed well in recent years. One of the biggest c...
Missing data is a common challenge to any researcher in almost any field of research. In particular,...
BACKGROUND: Intention-to-treat (ITT) analysis requires all randomised individuals to be included in ...
A major problem in the analysis of clinical trials is missing data caused by patientsdropping out of...