Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations.

Abstract:

OBJECTIVES:Model specification-what adjusting variables are analytically modeled-may influence results of observational associations. We present a standardized approach to quantify the variability of results obtained with choices of adjustments called the "vibration of effects" (VoE). STUDY DESIGN AND SETTING:We estimated the VoE for 417 clinical, environmental, and physiological variables in association with all-cause mortality using National Health and Nutrition Examination Survey data. We selected 13 variables as adjustment covariates and computed 8,192 Cox models for each of 417 variables' associations with all-cause mortality. RESULTS:We present the VoE by assessing the variance of the effect size and in the -log10(P-value) obtained by different combinations of adjustments. We present whether there are multimodality patterns in effect sizes and P-values and the trajectory of results with increasing adjustments. For 31% of the 417 variables, we observed a Janus effect, with the effect being in opposite direction in the 99th versus the 1st percentile of analyses. For example, the vitamin E variant α-tocopherol had a VoE that indicated higher and lower risk for mortality. CONCLUSION:Estimating VoE offers empirical estimates of associations are under different model specifications. When VoE is large, claims for observational associations should be very cautious.

journal_name

J Clin Epidemiol

authors

Patel CJ,Burford B,Ioannidis JP

doi

10.1016/j.jclinepi.2015.05.029

subject

Has Abstract

pub_date

2015-09-01 00:00:00

pages

1046-58

issue

9

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(15)00277-2

journal_volume

68

pub_type

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