On the aggregation of published prognostic scores for causal inference in observational studies
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Gary S Collins | Thomas P A Debray | Karel G M Moons | Fabio Pellegrini | Tri-Long Nguyen | G. Collins | K. Moons | T. Debray | Tri-Long Nguyen | F. Pellegrini
[1] M. J. Laan,et al. Targeted Learning: Causal Inference for Observational and Experimental Data , 2011 .
[2] Kosuke Imai,et al. Causal Inference With General Treatment Regimes , 2004 .
[3] Alan R. Ellis,et al. Matching on the disease risk score in comparative effectiveness research of new treatments , 2015, Pharmacoepidemiology and drug safety.
[4] M. Eisner,et al. Severity of asthma score predicts clinical outcomes in patients with moderate to severe persistent asthma. , 2012, Chest.
[5] E. Steyerberg,et al. Reporting and Methods in Clinical Prediction Research: A Systematic Review , 2012, PLoS medicine.
[6] Diana Petitti,et al. Risk factors for asthma hospitalizations in a managed care organization: development of a clinical prediction rule. , 2003, The American journal of managed care.
[7] T. VanderWeele,et al. Interpretation of Subgroup Analyses in Randomized Trials: Heterogeneity Versus Secondary Interventions , 2011, Annals of Internal Medicine.
[8] G. Collins,et al. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.
[9] N. Black. Why we need observational studies to evaluate the effectiveness of health care , 1996, BMJ.
[10] A. Mebazaa,et al. Propensity score estimators for the average treatment effect and the average treatment effect on the treated may yield very different estimates , 2016, Statistical methods in medical research.
[11] Thomas P A Debray,et al. The use of prognostic scores for causal inference with general treatment regimes , 2019, Statistics in medicine.
[12] Yvonne Vergouwe,et al. Estimates of absolute treatment benefit for individual patients required careful modeling of statistical interactions. , 2015, Journal of clinical epidemiology.
[13] F. Tubach,et al. Estimation of conditional and marginal odds ratios using the prognostic score , 2017, Statistics in medicine.
[14] Karel Moons,et al. PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration , 2019, Annals of Internal Medicine.
[15] Karel G M Moons,et al. Meta‐analysis and aggregation of multiple published prediction models , 2014, Statistics in medicine.
[16] Alan R. Ellis,et al. The “Dry-Run” Analysis: A Method for Evaluating Risk Scores for Confounding Control , 2017, American journal of epidemiology.
[17] J. Concato,et al. A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.
[18] D. V. Lindley,et al. Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment , 1980 .
[19] Sebastian Schneeweiss,et al. Role of disease risk scores in comparative effectiveness research with emerging therapies , 2012, Pharmacoepidemiology and drug safety.
[20] Sebastian Schneeweiss,et al. Comparison of high-dimensional confounder summary scores in comparative studies of newly marketed medications. , 2016, Journal of clinical epidemiology.
[21] B. Hansen. Full Matching in an Observational Study of Coaching for the SAT , 2004 .
[22] Mark J. van der Laan,et al. Super Learner In Prediction , 2010 .
[23] B. Hansen. The prognostic analogue of the propensity score , 2008 .
[24] P. Holland. Statistics and Causal Inference , 1985 .
[25] C.J.H. Mann,et al. Clinical Prediction Models: A Practical Approach to Development, Validation and Updating , 2009 .
[26] Gary S Collins,et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration , 2015, Annals of Internal Medicine.
[27] P. Royston,et al. Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.
[28] E. Steyerberg,et al. Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research , 2013, PLoS medicine.
[29] Glen P Martin,et al. A multiple‐model generalisation of updating clinical prediction models , 2017, Statistics in medicine.
[30] W. Assendelft,et al. Identifying patients at risk for severe exacerbations of asthma: development and external validation of a multivariable prediction model , 2016, Thorax.
[31] Y Vergouwe,et al. Updating methods improved the performance of a clinical prediction model in new patients. , 2008, Journal of clinical epidemiology.
[32] Sebastian Schneeweiss,et al. Dimension reduction and shrinkage methods for high dimensional disease risk scores in historical data , 2016, Emerging Themes in Epidemiology.
[33] Judea Pearl,et al. On the Consistency Rule in Causal Inference: Axiom, Definition, Assumption, or Theorem? , 2010, Epidemiology.
[34] J. Gagne,et al. Disease Risk Score (DRS) as a Confounder Summary Method: Systematic Review and Recommendations , 2013 .
[35] A. Hoes,et al. Confounding of subgroup analyses in randomized data. , 2009, Archives of internal medicine.
[36] W. Ray,et al. Performance of disease risk scores, propensity scores, and traditional multivariable outcome regression in the presence of multiple confounders. , 2011, American journal of epidemiology.
[37] W. Assendelft,et al. Symptom- and fraction of exhaled nitric oxide-driven strategies for asthma control: A cluster-randomized trial in primary care. , 2015, The Journal of allergy and clinical immunology.
[38] S. Hahn,et al. Methodological bias in cluster randomised trials , 2005, BMC medical research methodology.
[39] D. Rubin. Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .
[40] L. Smeeth,et al. Propensity score analysis with partially observed covariates: How should multiple imputation be used? , 2017, Statistical methods in medical research.
[41] M. Woodward,et al. Risk prediction models: II. External validation, model updating, and impact assessment , 2012, Heart.
[42] D. Torgerson,et al. Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general medical journals , 2003, BMJ : British Medical Journal.
[43] M. J. van der Laan,et al. Statistical Applications in Genetics and Molecular Biology Super Learner , 2010 .
[44] Richard D Riley,et al. Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings. , 2016, Journal of clinical epidemiology.
[45] P. Rosenbaum. A Characterization of Optimal Designs for Observational Studies , 1991 .
[46] S. Lemeshow,et al. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. , 1993, JAMA.
[47] G. Collins,et al. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies , 2019, Annals of Internal Medicine.
[48] Michael Schomaker,et al. Bootstrap inference when using multiple imputation , 2016, Statistics in medicine.
[49] Charles E McCulloch,et al. Relaxing the rule of ten events per variable in logistic and Cox regression. , 2007, American journal of epidemiology.
[50] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .