Addressing unmeasured confounding bias with a prior knowledge guided approach: coronary artery bypass grafting (CABG) versus percutaneous coronary intervention (PCI) in patients with stable ischemic heart disease
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J. Adams | J. Doctor | Ming-Sum Lee | L. Duan
[1] J. Ge,et al. Fallacies and Possible Remedies of the SYNTAX Score , 2020, Journal of interventional cardiology.
[2] P. Kolh,et al. Percutaneous coronary intervention versus coronary artery bypass grafting in patients with three-vessel or left main coronary artery disease: 10-year follow-up of the multicentre randomised controlled SYNTAX trial , 2019, The Lancet.
[3] Deepak L. Bhatt,et al. Association of Coronary Anatomical Complexity With Clinical Outcomes After Percutaneous or Surgical Revascularization in the Veterans Affairs Clinical Assessment Reporting and Tracking Program. , 2019, JAMA cardiology.
[4] Tyler J. VanderWeele,et al. Sensitivity Analysis in Observational Research: Introducing the E-Value , 2017, Annals of Internal Medicine.
[5] P. Rosenbaum,et al. An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies , 2017, Biometrics.
[6] Sander Greenland,et al. Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions , 2015, Statistics in medicine.
[7] Gregory B. Lim. Coronary artery disease: Cost-effectiveness of CABG surgery versus PCI in complex CAD , 2014, Nature Reviews Cardiology.
[8] K. Rothman. Six Persistent Research Misconceptions , 2014, Journal of general internal medicine.
[9] James M Robins,et al. Randomized Trials Analyzed as Observational Studies , 2013, Annals of Internal Medicine.
[10] Liang Li,et al. A Weighting Analogue to Pair Matching in Propensity Score Analysis , 2013, The international journal of biostatistics.
[11] K. Coleman,et al. Race and Ethnicity Data Quality and Imputation Using U.S. Census Data in an Integrated Health System , 2013, Medical care research and review : MCRR.
[12] Antonio Colombo,et al. Coronary artery bypass graft surgery versus percutaneous coronary intervention in patients with three-vessel disease and left main coronary disease: 5-year follow-up of the randomised, clinical SYNTAX trial , 2013, The Lancet.
[13] Antonio Colombo,et al. Comparison of coronary bypass surgery with drug-eluting stenting for the treatment of left main and/or three-vessel disease: 3-year follow-up of the SYNTAX trial. , 2011, European heart journal.
[14] Onyebuchi A Arah,et al. Bias Formulas for Sensitivity Analysis of Unmeasured Confounding for General Outcomes, Treatments, and Confounders , 2011, Epidemiology.
[15] Seung‐Jung Park,et al. Validation of SYNTAX (Synergy between PCI with Taxus and Cardiac Surgery) score for prediction of outcomes after unprotected left main coronary revascularization. , 2010, JACC. Cardiovascular interventions.
[16] Paul R. Rosenbaum,et al. Design Sensitivity and Efficiency in Observational Studies , 2010 .
[17] Antonio Colombo,et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. , 2009, The New England journal of medicine.
[18] S. Schneeweiss. Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics , 2006, Pharmacoepidemiology and drug safety.
[19] Sander Greenland,et al. Multiple‐bias modelling for analysis of observational data , 2005 .
[20] J. Robins,et al. Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures , 2004, Statistics in medicine.
[21] S. Greenland,et al. Letter to the Editor of Biometrics , 1999 .
[22] S Greenland,et al. Basic methods for sensitivity analysis of biases. , 1996, International journal of epidemiology.
[23] Hiroshi Akima,et al. Algorithm 761: Scattered-data surface fitting that has the accuracy of a cubic polynomial , 1996, TOMS.
[24] P. Rosenbaum. Discussing hidden bias in observational studies. , 1991, Annals of internal medicine.
[25] G. Maddala. Limited-dependent and qualitative variables in econometrics: Introduction , 1983 .
[26] Hiroshi Akima,et al. A Method of Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points , 1978, TOMS.
[27] N. Cox. Estimation of the correlation between a continuous and a discrete variable. , 1974, Biometrics.
[28] Sander Greenland,et al. Accounting for uncertainty about investigator bias: disclosure is , 2016 .
[29] Y. Chiba. Sensitivity analysis for unmeasured confounding of attributable fraction. , 2012, Epidemiology.
[30] S. Greenland. HOW COULD DISCLOSURE OF INTERESTS WORK BETTER IN MEDICINE, EPIDEMIOLOGY AND PUBLIC HEALTH? Accounting for uncertainty about investigator bias: disclosure is informative , 2009 .
[31] D. Rubin,et al. Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome , 1983 .
[32] E. C. Hammond,et al. Smoking and lung cancer: recent evidence and a discussion of some questions. , 1959, Journal of the National Cancer Institute.