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Multiple imputation using chained equations: Issues and guidance for practice.
TLDR
This work describes the principles of the method and shows how to impute categorical and quantitative variables, including skewed variables, and describes the practical analysis of multiply imputed data, including model building and model checking.
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
TLDR
The appropriate use and reporting of the multiple imputation approach to dealing with missing data is described by Jonathan Sterne and colleagues.
Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis.
CONTEXT Plasma fibrinogen levels may be associated with the risk of coronary heart disease (CHD) and stroke. OBJECTIVE To assess the relationships of fibrinogen levels with risk of major vascular
Long-Term Interleukin-6 Levels and Subsequent Risk of Coronary Heart Disease: Two New Prospective Studies and a Systematic Review
TLDR
Long-term IL-6 levels are associated with CHD risk about as strongly as are some major established risk factors, but causality remains uncertain, highlighting the potential relevance of IL- 6–mediated pathways to CHD.
Genomic atlas of the human plasma proteome
TLDR
The genetic architecture of the human plasma proteome in healthy blood donors from the INTERVAL study is characterized, and it is shown that protein quantitative trait loci overlap with gene expression quantitative traits, as well as with disease-associated loci, and evidence that protein biomarkers have causal roles in disease is found.
C-reactive protein, fibrinogen, and cardiovascular disease prediction.
TLDR
It is estimated that under current treatment guidelines, assessment of the CRP or fibrinogen level in people at intermediate risk for a cardiovascular event could help prevent one additional event over a period of 10 years for every 400 to 500 people screened.
Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
TLDR
It is shown that missing outcome data are a common problem in randomized controlled trials, and are often inadequately handled in the statistical analysis in the top tier medical journals.
How should variable selection be performed with multiply imputed data?
TLDR
Most methods improve on the naïve complete-case analysis for variable selection, but importantly the type 1 error is only preserved if selection is based on RR, which is the recommended approach.
Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.
TLDR
BMI, waist circumference, and waist-to-hip ratio, whether assessed singly or in combination, do not importantly improve cardiovascular disease risk prediction in people in developed countries when additional information is available for systolic blood pressure, history of diabetes, and lipids.
First cesarean birth and subsequent fertility.
TLDR
It is unlikely that delivering by cesarean section in a first pregnancy decreases a woman's likelihood of having a second viable pregnancy, as well as the number of spontaneous early pregnancy losses between the first and second birth.
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