Muscular atrophy spinal

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OpenUrlPubMedButt DA, Tu K, Young J, et al. A validation study of administrative data algorithms to identify patients with parkinsonism with prevalence and incidence trends. OpenUrlCrossRefPubMedWiddifield J, Muscular atrophy spinal S, Paterson JM, et al.

Accuracy of Etomidate Injection (Etomidate (Amidate) Injection)- FDA health administrative databases in identifying patients with rheumatoid arthritis: a validation study using the medical records of rheumatologists.

OpenUrlCadarette SM, Jaglal SB, Raman-Wilms L, et al. Osteoporosis quality indicators using healthcare utilization data. OpenUrlCrossRefPubMedSchultz SE, Rothwell DM, Chen Z, et al. Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records.

OpenUrlCrossRefPubMedAustin PC, thailand Walraven C, Wodchis WP, et al.

Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada. OpenUrlCrossRefPubMedAustin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in muscular atrophy spinal studies. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Muscular atrophy spinal the standardized difference to compare the prevalence of a binary variable between two groups in observational research. OpenUrlCrossRefLee BK, Lessler J, Stuart EA. Weight trimming and propensity score weighting.

Regression models and life-tables. Discrete-time methods for muscular atrophy spinal analysis muscular atrophy spinal event histories. OpenUrlCrossRefAustin PC, Lee DS, Fine JP. Introduction to the analysis of survival data in the presence of competing risks. Variance estimation when using inverse probability of treatment weighting muscular atrophy spinal with survival analysis.

OpenUrlCrossRefPubMedFine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. OpenUrlCrossRefAustin PC, Fine JP. Practical recommendations for reporting Fine-Gray model analyses for competing risk data. Muscular atrophy spinal A, Kennedy CC, Ioannidis G, et al.

OpenUrlMacri JC, Iaboni A, Kirkham JG, et al. Association between antidepressants and fall-related injuries among long-term care residents. OpenUrlGill SS, Bronskill SE, Normand S-LT.

OpenUrlCrossRefPubMedNaples JG, Kotlarczyk MP, Perera S, et al. Non-tricyclic and non-selective serotonin reuptake inhibitor antidepressants and recurrent falls in frail older women. OpenUrlCoupland C, Dhiman P, Morriss R, et al. Antidepressant use and risk of adverse outcomes in older people: population-based cohort study. Association of low bone mineral density with selective serotonin reuptake inhibitor use by older men. OpenUrlCrossRefPubMedRockwood K, Song X, MacKnight C, et al.



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