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For each of these components a pseudo R statistic can be calculated based on the reduction of this term from unconditional models containing only a constant and an age term (Singer and Willett 2003).
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Owing to a nonlinear relationship between age, MI, MDD, and pharmacotherapy, a linear and a quadratic age term were both included in all multivariate models.
To rule out possible residual confounding by age, we performed additional analyses with a linear and a quadratic age term that revealed virtually unchanged effect estimates (data not shown).
Possible nonlinearity in calendar age is captured by including a linear as well as a quadratic age term.
The vector X contains the demographic variables described above plus a quadratic age term.
However, we repeated our analyses to include a squared age term, but our results were unchanged.
Preliminary analysis of AMH, AFC and FSH indicated that logarithmically transformed values with a quadratic age term provided adequate fits.
Age was centred at 45 years and a squared age term was generated in order to model non-linear relationships with age.
There was a single age term for hip fracture, which was (age/10) with two terms for BMI: log(BMI/10) and (log(BMI/10)).
The model used for women included a categorical age term [< 45 (reference), 45 55, 55 65, and ≥65 years], with additional variables for recent regular estrogen use and current smoking.
Age was entered as a continuous linear covariate except in models predicting white matter volume, where a quadratic age term was included because white matter loss accelerated with age.
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