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CENTER FOR INTEGRATED HEALTHCARE DATA RESEARCH
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Best Practices

Best Practices

DATA LINKAGE TO IMPROVE CAUSAL ANALYSES WITH SECONDARY DATA:



Lin KJ, Schneeweiss S. Considerations on the Analysis of Longitudinal Electronic Heath Records
Linked to Claims Data to Study the Effectiveness and Safety of Drugs. Clin Pharmacol Ther. 2016
Aug;100(2):147-59.


​Lin KJ, Singer DE, Glynn RJ, Murphy SN, Lii J, Schneeweiss S. Identifying Patients with High
Data
Completeness to Improve Validity of Comparative Effectiveness Research in Electronic Health
Records
Data. Clin Pharmacol Ther. 2018;103(5):899-905.


​Lin KJ, Glynn RJ, Singer DE, Murphy SN, Lii J, Schneeweiss S. Out-of-system Care and Recording
of
Patient Characteristics Critical for Comparative Effectiveness Research. Epidemiology.
2018;29(3):356-363.



CONFOUNDING CONTROL METHODS:



Schneeweiss S, Eddings W, Glynn RJ, Patorno E, Rassen J, Franklin JM. Variable Selection for
Confounding Adjustment in High-dimensional Covariate Spaces When Analyzing Healthcare
Databases.​ Epidemiology. 2017 Mar;28(2):237-248.


Wyss R, Schneeweiss S, van der Laan M, Lendle SD, Ju C, Franklin JM. Using Super Learner
Predication Modeling to Improve High-dimensional Propensity Score Estimation. Epidemiology.
2018
Jan;29(1):96-106.


Franklin JM, Eddings W, Austin PC, Stuart EA, Schneeweiss S. Comparing the performance of
propensity score methods in healthcare database studies with rare outcomes.​ Stat Med. 2017
May
30;36(12):1946-1963.


Wang SV, Jin Y, Fireman B, Gruber S, He M, Wyss R, Shin H, Ma Y, Keeton S, Karami S, Major
JM,
Schneeweiss S, Gagne JJ. Relative Performance of Propensity Score Matching Strategies for
Subgroup Analyses. Am J Epidemiol. 2018 Mar 15.


Desai RJ, Rothman KJ, Bateman BT, Hernandez-Diaz S, Huybrechts KF. A Propensity-score-based
Fine
Stratification Approach for Confounding Adjustment When Exposure Is Infrequent.
Epidemiology.
2017 Mar;28(2):249-257.



INDEX OR RISK SCORE FOR PATIENT CHARACTERIZATION:



Gagne JJ, Glynn RJ, Avorn J, Levin R, Schneeweiss S. A combined comorbidity score predicted
mortality in elderly patients better than existing scores. Journal of Clinical Epidemiology
2011;64(7):749-59.


Sun JW, Rogers JR, Her Q, Welch EC, Panozzo CA, Toh S, Gagne JJ. Adaptation and Validation
of
the Combined Comorbidity Score for ICD-10-CM. Medical Care. 2017 Dec 1;55(12):1046-51.


Kim DH, Schneeweiss S, Glynn RJ, Lipsitz LA, Rockwood K, Avorn J. Measuring Frailty in
Medicare
Data: Development and Validation of a Claims-Based Frailty Index. J Gerontol A Biol Sci Med
Sci.
2018 Jun 14;73(7):980-987.


Kim DH, Schneeweiss S, Glynn R. Comparing Approaches to Measure Frailty in Medicare Data –
Deficit-Accumulation Frailty Index Versus Phenotypic Frailty. J Gerontol A Biol Sci Med Sci.
2018.


Kim DH, Glynn RJ, Avorn J, Lipsitz LA, Rockwood K, Pawar A, Schneeweiss S. Validation of a
Claims-Based Frailty Index Against Physical Performance and Adverse Health Outcomes in the
Health
and Retirement Study. J Gerontol A Biol Sci Med Sci. 2018 Aug 27. PMID: 30165612.



SENSITIVITY ANALYSIS:



Schneeweiss S. Sensitivity analysis and external adjustment for unmeasured confounders in
epidemiologic database studies of therapeutics. Pharmacoepidemiology & Drug Safety 2006 May.
15(5):291-303.

​​
Division of Pharmacoepidemiology & Pharmacoeconomics
​Department of Medicine
Brigham & Women's Hospital and Harvard Medical School
1620 Tremont Street Suite 3030 Boston, MA 02120