Article

Variance computations for functional of absolute risk estimates.

Biostatistics Branch, DCEG, National Cancer Institute, 6120 Executive Blvd, EPS/8030, Bethesda, MD 20892-7244, USA.
Statistics [?] Probability Letters (impact factor: 0.5). 07/2011; 81(7):807-812. DOI:10.1016/j.spl.2011.02.002 pp.807-812
Source: PubMed

ABSTRACT We present a simple influence function based approach to compute the variances of estimates of absolute risk and functions of absolute risk. We apply this approach to criteria that assess the impact of changes in the risk factor distribution on absolute risk for an individual and at the population level. As an illustration we use an absolute risk prediction model for breast cancer that includes modifiable risk factors in addition to standard breast cancer risk factors. Influence function based variance estimates for absolute risk and the criteria are compared to bootstrap variance estimates.

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Keywords

absolute risk prediction model
 
bootstrap variance estimates
 
breast cancer
 
criteria
 
estimates
 
includes modifiable risk factors
 
Influence function
 
population level
 
risk factor distribution
 
simple influence function
 
standard breast cancer risk factors
 
variance estimates