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. Author manuscript; available in PMC: 2022 Mar 19.
Published in final edited form as: Handb Clin Neurol. 2017;144:47–61. doi: 10.1016/B978-0-12-801893-4.00004-3

Table 5.

Effect of mismeasured onset ages in different methods for modeling age of motor-onset.

Method Effect of mismeasured onset age
Correlation Analysis • Pearson correlation is biased downward.
Linear Regression • Biased estimated effects of subject-specific features (covariates) if the measurement error in age-at-onset is correlated with the features.
Logistic Regression • Highly sensitive to response error (i.e., misclassification). Ignoring misclassification leads to estimated model parameters being severely biased and highly variable.
Survival Models • Evidence of bias but exact effects need to be explored, especially for genetic mixture models where genetic information is not always available.