Selected Publications by the Aetion Team

Members of the Aetion team publish frequently on methods for the evaluation of the effectiveness, safety and value of medical products in major peer-reviewed journals. Below you will find a selection of high-impact publications.

Publications on Research with Real-World Data

Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol 2005;58:323-37.

Schneeweiss S. A basic study design for expedited safety signal evaluation based on electronic healthcare data. Pharmaceopidemiol Drug Safety 2010;19:858-68.

Rassen JA, Solomon DH, Glynn RJ, Schneeweiss S. Simultaneously assessing intended and unintended treatment effects of multiple treatment options: a pragmatic “matrix design”. Pharmacoepidemiol Drug Safety 2011;20:675-83.

Schneeweiss S. Learning from big healthcare data. N Engl J Med 2014;370:2161-3.

Schneeweiss S, Gagne JJ, Glynn RJ, Ruhl M, Rassen JA. Assessing the comparative effectiveness of newly marketed medications. Clin Pharm Ther 2011;90:777-90.

Publications Demonstrating Key Analytic Methods

Scientific Reporting

Schneeweiss S, Suissa S. Advanced approaches to controlling confounding in pharmacoepidemiologic studies, pp. 868-891. In: Strom BL, Kimmel SE, Hennessey S: Pharmacoepidemiology, 5th edition, John Wiley&Sons, Chichester, 2012.

Comparative Effectiveness

Gagne JJ, Bykov K, Willke RJ, Kahler KH, Subedi P, Schneeweiss S. Treatment dynamics of newly marketed drugs: implications for comparative effectiveness research. Value Health 2013;16:1054-62.

Eichler HG, Baird LG, Barker R, Bloechl-Daum B, Børlum-Kristensen F, et al. From adaptive licensing to adaptive pathways: delivering a flexible life-span approach to bring new drugs to patients. Clin Pharmacol Ther. 2015;97:234-46.

Franklin JM, Eddings W, Schneeweiss S Rassen JA. Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use. Drug Safety 2015;38:589-600.

Program Evaluation

Schneeweiss S, Maclure M, Dormuth C, Glynn RJ, Canning C, Avorn J. A therapeutic substitution policy for proton pump inhibitors: clinical and economic consequences. Clin Pharm Ther 2006;79:379-88.

Schneeweiss S, Patrick AR, Maclure M, Dormuth C, Glynn RJ. Adherence to statin therapy under drug cost-sharing in patients with and without acute MI: A population-based natural experiment. Circulation 2007;115:2128-35.

Drug Use

Polinski J, Glynn RJ, Brookhart MA, Schneeweiss S. Medicare Part D’s impact on antipsychotic drug use and cost among elderly patients without prior drug insurance. J Clin Psychopharm 2012;32:3-10.

Population Description

Rassen JA, Schneeweiss S. Newly marketed medications present unique challenges for non-randomized comparative effectiveness analyses. J Comp Effect Res 2012;1:109-11.

Patient Privacy

Sarpatwari A, Kesselheim AS, Malin BA, Gagne JJ, Schneeweiss S. Utility and Liability Trade-Offs in Sharing Data for Post-Approval Drug and Device Research. N Engl J Med 2014;371:1644-9.

Publications On Development of Analytic Methods

Propensity Score Methods

Schneeweiss S, Rassen JR, Glynn RJ, Avorn J, Mogun H, Brookhart MA. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology 2009;20:512-22. 

Rassen JA, Schneeweiss S. Using high-dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system. Pharmacoepidemiol Drug Safety 2012;21 S1:41-9.

Brookhart MA, Schneeweiss S, Rothman K, Glynn RJ, Avorn J, Sturmer T. Variable selection in propensity score models. Am J Epidemiol 2006;163:1149-56.

Rassen JA, Shelat AA, Myers J, Glynn RJ, Rothman KJ, Schneeweiss S. One-to-many propensity score matching in cohort studies. Pharmacoepidemiol Drug Saf 2012;21(S2):69-80.

Rassen JA, Shelat AA, Myers J, Glynn RJ, Schneeweiss S. Matching by propensity score in cohort studies with three treatment groups. Epidemiology 2013;24:401-9.

Franklin JM, Rassen JA, Ackermann D, Bartels DB, Schneeweiss S. Metrics for covariate balance in cohort studies of causal effects: Varying associations with bias. Stat Med 2014;33:1685-99. 

Franklin JM, Schneeweiss S, Polinski JM, Rassen JA. Plasmode simulation for the evaluation of pharmaco­epidemiologic methods in complex healthcare databases. Comp Stat Data Analysis 2014;72:219-26 

Neugebauer R, Schmittdiel JA, Zhu Z, Rassen JA, Seeger JD, Schneeweiss S. High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions. Stat Med 2014;34:753-81.

Glynn RJ, Gagne JJ, Schneeweiss S. Role of disease risk scores for comparative effectiveness with emerging therapies. Pharmacoepidemiol Drug Saf 2012; 21(S2): 138-47.

Franklin JM, Eddings W, Austin PC, Stuart EA, Schneeweiss S.  Comparing the performance of propensity score methods in healthcare database studies with rare outcomes. Statistics in Medicine 2017 Feb 17. [Epub ahead of print]

Schneeweiss S, Eddings W, Glynn RJ, Patorno E, Rassen JA, Franklin JM. Variable selection for confounding adjustment in high-dimensional covariate spaces when analyzing healthcare databases. Epidemiology 2017;28:237-48.

Net Benefit Analyses

Najafzadeh M, Gagne JJ, Choudhry NK, Polinski J, Avorn J, Schneeweiss S. Patients’ preferences for risk and benefits of anticoagulant therapy: A discrete choice experiment. Circulation: Cardio Qual Outcomes 2014;7:912-9.

Najafzadeh M, Schneeweiss S, Choudhry NK, Bykov K, Martin D, Kahler K, Gagne JJ. A unified framework for classification of methods for benefit-risk assessment. Value Health 2015;18:250-9

Instrumental Variable Analyses

Rassen JA, Brookhart MA, Glynn RJ, Mittleman M, Schneeweiss S. Instrumental variables I: Instrumental variables exploit natural variation in non-experimental data to estimate causal relationships. J Clin Epidemiol 2009;62:1226-32.

Rassen J, Schneeweiss S, Glynn RJ, Mittleman M, Brookhart MA. Two-stage instrumental variable modeling approaches for estimation of treatment effects with dichotomous outcomes. Am J Epidemiol 2009;169:273-84.

Myers J, Rassen J, Gagne JJ, Huybrechts K, Schneeweiss S, Rothman KJ, Joffe MM, Glynn RJ. Effects of adjusting for instrumental variables on bias and precision of effect estimates. Am J Epidemiol 2011;174:1213-22.