[HTML][HTML] Randomized trials with missing outcome data: how to analyze and what to report
RHH Groenwold, KGM Moons, JP Vandenbroucke - Cmaj, 2014 - Can Med Assoc
Key points men in the treatment group were lost to followup), the observed treatment effect
would be severely biased (RR 0.40). This example shows that the bias due to missing …
would be severely biased (RR 0.40). This example shows that the bias due to missing …
Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
Background Randomized controlled trials almost always have some individuals with missing
outcomes. Inadequate handling of these missing data in the analysis can cause substantial …
outcomes. Inadequate handling of these missing data in the analysis can cause substantial …
Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta‐analysis
Missing outcome data are commonly encountered in randomized controlled trials and hence
may need to be addressed in a meta‐analysis of multiple trials. A common and simple …
may need to be addressed in a meta‐analysis of multiple trials. A common and simple …
Analysing randomised controlled trials with missing data: choice of approach affects conclusions
BACKGROUND: The publication of a wrong conclusion from a randomised trial could have
disastrous consequences. Missing data are unavoidable in most studies, but ignoring the …
disastrous consequences. Missing data are unavoidable in most studies, but ignoring the …
The prevention and treatment of missing data in clinical trials
National Research Council, Division of Behavioral… - 2010 - books.google.com
Randomized clinical trials are the primary tool for evaluating new medical interventions.
Randomization provides for a fair comparison between treatment and control groups …
Randomization provides for a fair comparison between treatment and control groups …
Simple approaches to assess the possible impact of missing outcome information on estimates of risk ratios, odds ratios, and risk differences
LS Magder - Controlled clinical trials, 2003 - Elsevier
Often in clinical trials, the primary outcome is binary and the impact of an intervention is
summarized using risk ratios (RRs), odds ratios (ORs), or risk differences (RDs). It is typical …
summarized using risk ratios (RRs), odds ratios (ORs), or risk differences (RDs). It is typical …
Missing data in randomised controlled trials: a practical guide
JR Carpenter, MG Kenward - 2007 - researchonline.lshtm.ac.uk
Objective: Missing data are ubiquitous in clinical trials, yet recent research suggests many
statisticians and investigators appear uncertain how to handle them. The objective is to set …
statisticians and investigators appear uncertain how to handle them. The objective is to set …
Meta-analysis of studies with missing data
Y Yuan, RJA Little - Biometrics, 2009 - academic.oup.com
Consider a meta-analysis of studies with varying proportions of patient-level missing data,
and assume that each primary study has made certain missing data adjustments so that the …
and assume that each primary study has made certain missing data adjustments so that the …
Treatment of missing data in follow-up studies of randomised controlled trials: a systematic review of the literature
Background/aims: After completion of a randomised controlled trial, an extended follow-up
period may be initiated to learn about longer term impacts of the intervention. Since …
period may be initiated to learn about longer term impacts of the intervention. Since …
Addressing missing outcome data in meta-analysis
Objective Missing outcome data are a common problem in clinical trials and systematic
reviews, as it compromises inferences by reducing precision and potentially biasing the …
reviews, as it compromises inferences by reducing precision and potentially biasing the …
