Why the study?
To demonstrate the effects of outcome sensitivity, participant exclusions, and covariate manipulations on results of epidemiological analyses of coronary heart disease and behaviour-related risk factors.
Do data preprocessing procedures (participant exclusions, covariate manipulations) affect the results of epidemiological analysis of coronary heart disease and behaviour-related risk factors in 54-year-old men?
Population
1592 54-year-old men participating in the Kuopio Ischaemic Heart Disease Risk Factor Study
Comparison
Different sets of outcomes, participant exclusions, and covariate manipulations
Design
Cohort study using Cox proportional-hazards models
Follow-up
Mean 23 years
Authors
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Participant exclusion choices may alter CHD risk associations in cohorts; leaves open optimal preprocessing standards for future analyses.
Do data preprocessing procedures (participant exclusions, covariate manipulations) affect the results of epidemiological analysis of coronary heart disease and behaviour-related risk factors in 54-year-old men?
Excluding study participants who are not disease-free at baseline is likely unnecessary for epidemiological analyses of coronary heart disease.
Voutilainen et al. (2021) studied this question.
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