The Self-Controlled Case Series - Department of Statistics ...

More documents

Recommendations

Info

14 D. Madigan et al. Noren, G. N., Bate, A., Hopstadius, J., Star, K., and Edwards, I. R. (2008). Temporal pattern discovery for trends and transient effects: its application to patient records. In: Proceedings of the Fourteenth International Conference on Knowledge Discovery and Data Mining SIGKDD 2008, 963–971. Roy, J., Alderson, D., Hogan, J.W., and Tashima, K. T. (2006). Conditional inference methods for incomplete Poisson data with endogenous time-varying covariates, J. Amer. Statist. Assoc. 101, 424–434. Schneeweiss, S., Rassen, J. A., Glynn, R. J., Avorn, J., Mogun, H., and Brookhart, M. A. (2009). High-dimensional propensity scoring adjustment in studies of treatment effects using health care claims data. Epidemiology, 20, 512-522. Simpson, S.E. (2011). The positive-dependence self-controlled case series model. Submitted. Walker, A. M. (2009). Signal detection for vaccine side effects that have not been specified in advance. Preprint. Winkelmann, R. (2008). Econometric Analysis of Count Data. Springer.
Self-Controlled Case Series 15 Truncated versus Non−Truncated SCCS, log RR Truncated −0.4 −0.2 0.0 0.2 0.4 0.6 ● ● true positives negative controls Typical Aplastic ● ● Typical Acute Re Warfarin Hip Frac ● ● Typical Upper GI ● Tricycli Angioede ● ● Antibiot Acute Li ● Typical Acute my Typical Bleeding Beta blo Acute my Antibiot Acute Re ● ● ● Antiepil Aplastic ● Antibiot Aplastic ● Warfarin Aplastic Antibiot Angioede ● ● Bisphosp Mortalit ● ● Benzodia Typical Angioede Antibiot Hip Tricycli Frac Acute Upper myGI Typical Acute Li Tricycli Mortalit Beta blo Mortalit ● ● ● ● Beta ● blo Angioede ● ACE Inhi Aplastic ● ● ● ● ● Amphoter Acute Amphoter Li Upper Warfarin GI Benzodia Acute myMortalit ● Bisphosp Aplastic Benzodia Acute ● my Benzodia Bleeding Antiepil Acute Re ● ● Typical Mortalit ● Benzodia Acute Li Antibiot Bleeding ● Beta blo Acute Re Antibiot Upper GI ● Beta Typical blo Aplastic Angioede ● ● ● Amphoter Aplastic ● ● ● ● Warfarin Angioede Amphoter ● Benzodia Acute Upper ReWarfarin GI Upper GI Amphoter Acute my ● ● Antibiot Mortalit Warfarin Acute Li ● ● ● Tricycli AplasticAntiepil Mortalit Beta blo Acute Li ● Tricycli Acute Li ● ● Tricycli Acute my Amphoter Warfarin BleedingAcute ● Re ● Antiepil Hip Frac ● ● ● ● Tricycli Bleeding Beta blo Upper GI Antibiot Hip Frac ● Benzodia Aplastic ● ACE Inhi Acute Li Bisphosp Acute Li ●Tricycli Benzodia Hip Frac Acute Re ● Tricycli Acute Re ● Warfarin Mortalit ● ● ● ● ACE Inhi Upper GI ● Beta blo Hip Frac ● Antiepil Angioede ACE Inhi ● Bleeding Beta blo Bleeding ● ● ACE Inhi Acute Re Bisphosp ● Acute my ● Antiepil Acute Li Bisphosp Hip Frac ● Bisphosp Acute Re ● Benzodia Hip Frac ● Bisphosp Angioede ACE Inhi ● Antiepil Acute my Bleeding ● Antiepil Upper GI ● ● Bisphosp Upper GI ● ACE Inhi Hip Frac ● ● ACE Inhi Mortalit Bisphosp Bleeding ● Warfarin Bleeding ● ACE Inhi Angioede ● Antiepil Acute my −0.2 0.0 0.2 0.4 0.6 0.8 1.0 NotTruncated MSCCSv1.0_MSLR_ctype_2_prior_normal_var_0.1_swindo_n30_ds_1_ Figure 2: Relative risk estimates from SCCS versus truncated SCCS for 53 drug-outcome pairs in the OMOP experiment.
Page 1 and 2: Self-Controlled Case Series 1 The S
Page 3 and 4: Self-Controlled Case Series 3 Longi
Page 5 and 6: Self-Controlled Case Series 5 will
Page 7 and 8: Self-Controlled Case Series 7 3.2.
Page 9 and 10: Self-Controlled Case Series 9 4. EX
Page 11 and 12: Self-Controlled Case Series 11 For
Page 13: Self-Controlled Case Series 13 Sinc

The Self-Controlled Case Series - Department of Statistics ...

Create successful ePaper yourself

Delete template?

Save as template?