grahamReplication: Relative risks from an adjusted new-user cohort design

In EmpiricalCalibration: Routines for Performing Empirical Calibration of Observational Study Estimates

Relative risks from an adjusted new-user cohort design

Description

Relative risks from an adjusted new-user cohort design

Usage

data(grahamReplication)

Format

A data frame with 126 rows and 4 variables:

outcomeName

Name of the outcome

trueLogRr

The log of the true effect size. Only provided for negative and positive controls, is NA for the outcome of interest (GI bleeding).

logRr

The log of the incidence rate ratio

seLogRr

The standard error of the log of the incidence rate ratio

Details

A dataset containing the incidence rate ratios (and standard errors) produced using a new-user cohort design that compares new-users of dabigatran to new-users of warfarin for the outcome of GI hemorrhage. The dataset includes estimates both for the outcome of interest as well as negative and positive control outcomes. Subject are required to have 183 days of continuous observation prior to initiating treatment, be at least 65 years old at index date, and are required to have no prior exposure to warfarin or dabigatran (or any other novel anticoagulant). Furthermore, subjects are required to use the treatment for the indication of atrial fibrillation or atrial flutter, which is enforced by requiring a prior diagnosis of atrial fibrillation or flutter, and no prior diagnosis of other indications. Propensity scores are generated by fitting a model for predicting treatment assignment based on baseline patient characteristics, and are used to perform one-on-one matching. Hazard ratios are estimated through a Cox regression on the matched population. Time-at-risk is defined as starting on the day after initiating treatment and stopping when treatment is stopped, when the outcome occurs, or observation time ends, whichever comes first. The original study (Graham et al 2016) uses the Medicare database. For our replication, we use the Truven Medicare Supplementary Beneficiaries database. We analyze 15,796 dabigatran-exposed and 15,796 warfarin-exposed subjects. For more information on this set see Schuemie et al (2017).

References

Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA. Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data. Proc Natl Acad Sci U S A. 2018 Mar 13;115(11):2571-2577

Graham DJ, Reichman ME, Wernecke M, Hsueh YH, Izem R, Southworth MR, Wei Y, Liao J, Goulding MR, Mott K, Chillarige Y, MaCurdy TE, Worrall C, Kelman JA. Stroke, Bleeding, and Mortality Risks in Elderly Medicare Beneficiaries Treated With Dabigatran or Rivaroxaban for Nonvalvular Atrial Fibrillation. JAMA Intern Med 176(11):1662-1671, 2016

EmpiricalCalibration documentation built on Sept. 30, 2024, 9:12 a.m.