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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Biometrics. 2015 Jun 23;71(4):941–949. doi: 10.1111/biom.12338

Table 2.

Real data analysis and sensitivity analysis with respect to the probability of misattribution. Naïve, Weighted and Unweighted estimates obtained from a survival sample (n = 11, 485) cancer patients from SEER registry, and an external data set (nr = 373) from Hoffman et al. (2003) study. Naïve model assumes no misattribution. Last two columns (fixed misattribution) represent the results of a sensitivity analysis.

Method: Naive Weighted Unweighted Sensitivity Analysis (Weighted)
Misattribution: r = 0.056 = 0.056 Fixed r =0.1 Fixed r =0.2
Hazard ratio: ϕ̂ 0.127 (.119) 0.266 (.124) 1.060 (.181)

Prostate Cancer Death
Age - 50 0.025 (.003) 0.015 (.004) 0.018 (.004) 0.006 (.004) −0.011 (.004)
Distant Stage 2.181 (.050) 2.417 (.078) 2.386 (.078) 2.674 (.068) 3.584 (.132)
Treatment −0.368 (.051) −0.293 (.062) −0.323 (.062) −0.203 (.071) 0.018 (.093)

Other Death
Age - 50 0.076 (.002) 0.077 (.002) 0.076 (.002) 0.078 (.002) 0.075 (.002)
Distant Stage 0.194 (.052) 0.185 (.052) 0.194 (.052) 0.184 (.052) 0.226 (.051)
Treatment −0.516 (.033) −0.521 (.033) −0.516 (.033) −0.525 (.032) −0.517 (.031)