Letter in response to Schneeweiss and Rassen on the high-dimensional propensity score approach

2011 ◽  
Vol 20 (10) ◽  
pp. 1112-1112
Author(s):  
Sengwee Toh ◽  
Luis A. García Rodríguez ◽  
Miguel A. Hernán
Keyword(s):  
Propensity Score ◽  
High Dimensional

scholarly journals Implementing high‐dimensional propensity score principles to improve confounder adjustment in UK electronic health records

2020 ◽  
Vol 29 (11) ◽  
pp. 1373-1381
Author(s):  
John Tazare ◽  
Liam Smeeth ◽  
Stephen J. W. Evans ◽  
Elizabeth Williamson ◽  
Ian J. Douglas
Keyword(s):  
Propensity Score ◽  
Electronic Health Records ◽  
High Dimensional ◽  
Health Records ◽  
Electronic Health ◽  
Confounder Adjustment

scholarly journals Covariate Selection in High-Dimensional Propensity Score Analyses of Treatment Effects in Small Samples

2011 ◽  
Vol 173 (12) ◽  
pp. 1404-1413 ◽  
Author(s):  
Jeremy A. Rassen ◽  
Robert J. Glynn ◽  
M. Alan Brookhart ◽  
Sebastian Schneeweiss
Keyword(s):  
Propensity Score ◽  
Treatment Effects ◽  
Small Samples ◽  
High Dimensional ◽  
Covariate Selection

scholarly journals Timing of AKI after urgent percutaneous coronary intervention and clinical outcomes: a high-dimensional propensity score analysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alan S. Go ◽  
Thida C. Tan ◽  
Rishi V. Parikh ◽  
Andrew P. Ambrosy ◽  
Leonid V. Pravoverov ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Acute Kidney Injury ◽  
Percutaneous Coronary Intervention ◽  
Kidney Disease ◽  
Propensity Score ◽  
Kidney Function ◽  
Kidney Injury ◽  
Coronary Intervention ◽  
High Dimensional ◽  
Percutaneous Coronary

Abstract Introduction Acute kidney injury is a common complication of percutaneous coronary intervention and has been associated with an increased risk of death and progressive chronic kidney disease. However, whether the timing of acute kidney injury after urgent percutaneous coronary intervention could be used to improve patient risk stratification is not known. Methods We conducted a retrospective cohort study in adults surviving an urgent percutaneous coronary intervention between 2008 and 2013 within Kaiser Permanente Northern California, a large integrated healthcare delivery system, to evaluate the impact of acute kidney injury during hospitalization at 12 (±6), 24 (±6) and 48 (±6) hours after urgent percutaneous coronary intervention and subsequent risks of adverse outcomes within the first year after discharge. We used multivariable Cox proportional hazards models with adjustment for a high-dimensional propensity score for developing acute kidney injury after percutaneous coronary intervention to examine the associations between acute kidney injury timing and all-cause death and worsening chronic kidney disease. Results Among 7250 eligible adults undergoing urgent percutaneous coronary intervention, 306 (4.2%) had acute kidney injury at one or more of the examined time periods after percutaneous coronary intervention. After adjustment, acute kidney injury at 12 (±6) hours was independently associated with higher risks of death (adjusted hazard ratio [aHR] 3.55, 95% confidence interval [CI] 2.19–5.75) and worsening kidney function (aHR 2.40, 95% CI:1.24–4.63). Similar results were observed for acute kidney injury at 24 (±6) hours and death (aHR 3.90, 95% CI:2.29–6.66) and worsening chronic kidney disease (aHR 4.77, 95% CI:2.46–9.23). Acute kidney injury at 48 (±6) hours was associated with excess mortality (aHR 1.97, 95% CI:1.19–3.26) but was not significantly associated with worsening kidney function (aHR 0.91, 95% CI:0.42–1.98). Conclusions Timing of acute kidney injury after urgent percutaneous coronary intervention may be differentially associated with subsequent risk of worsening kidney function but not death.

Eye drops for dry eye disease during pregnancy and adverse neonatal outcomes: high-dimensional propensity score analyses

2021 ◽  
pp. 1-10
Author(s):  
Yohei Hashimoto ◽  
Hayato Yamana ◽  
Nobuaki Michihata ◽  
Daisuke Shigemi ◽  
Miho Ishimaru ◽  
...  
Keyword(s):  
Propensity Score ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Neonatal Outcomes ◽  
Eye Disease ◽  
High Dimensional ◽  
Eye Drops ◽  
Adverse Neonatal Outcomes

High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions

2015 ◽  
Vol 34 (5) ◽  
pp. 753-781 ◽  
Author(s):  
Romain Neugebauer ◽  
Julie A. Schmittdiel ◽  
Zheng Zhu ◽  
Jeremy A. Rassen ◽  
John D. Seeger ◽  
...  
Keyword(s):  
Propensity Score ◽  
Comparative Effectiveness Research ◽  
Comparative Effectiveness ◽  
High Dimensional ◽  
Effectiveness Research ◽  
Time Varying

scholarly journals Estimating Effects with Rare Outcomes and High Dimensional Covariates: Knowledge is Power

2016 ◽  
Vol 5 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Laura Balzer ◽  
Jennifer Ahern ◽  
Sandro Galea ◽  
Mark van der Laan
Keyword(s):  
Propensity Score ◽  
Risk Difference ◽  
Efficient Estimation ◽  
High Dimensional ◽  
Finite Sample ◽  
Exposure Effect ◽  
Conditional Mean ◽  
Double Robust ◽  
Matching Estimator ◽  
Finite Sample Simulations

AbstractMany of the secondary outcomes in observational studies and randomized trials are rare. Methods for estimating causal effects and associations with rare outcomes, however, are limited, and this represents a missed opportunity for investigation. In this article, we construct a new targeted minimum loss-based estimator (TMLE) for the effect or association of an exposure on a rare outcome. We focus on the causal risk difference and statistical models incorporating bounds on the conditional mean of the outcome, given the exposure and measured confounders. By construction, the proposed estimator constrains the predicted outcomes to respect this model knowledge. Theoretically, this bounding provides stability and power to estimate the exposure effect. In finite sample simulations, the proposed estimator performed as well, if not better, than alternative estimators, including a propensity score matching estimator, inverse probability of treatment weighted (IPTW) estimator, augmented-IPTW and the standard TMLE algorithm. The new estimator yielded consistent estimates if either the conditional mean outcome or the propensity score was consistently estimated. As a substitution estimator, TMLE guaranteed the point estimates were within the parameter range. We applied the estimator to investigate the association between permissive neighborhood drunkenness norms and alcohol use disorder. Our results highlight the potential for double robust, semiparametric efficient estimation with rare events and high dimensional covariates.

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