Using marginal structural models to adjust for treatment drop‐in when developing clinical prediction models
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Glen P Martin | Iain Buchan | Matthew Sperrin | Niels Peek | Alexander Pate | I. Buchan | N. Peek | T. V. van Staa | G. Martin | M. Sperrin | Tjeerd Van Staa | Alexander Pate | G. Martin
[1] L. Hood,et al. P4 medicine: how systems medicine will transform the healthcare sector and society. , 2013, Personalized medicine.
[2] Chava L. Ramspek,et al. Prediction versus aetiology: common pitfalls and how to avoid them: Clinical Epidemiology in Nephrology , 2017, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[3] C.J.H. Mann,et al. Clinical Prediction Models: A Practical Approach to Development, Validation and Updating , 2009 .
[4] Yoav Ben-Shlomo,et al. A longitudinal model for disease progression was developed and applied to multiple sclerosis , 2015, Journal of Clinical Epidemiology.
[5] G. Brier. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY , 1950 .
[6] Linda M. Peelen,et al. Accounting for treatment use when validating a prognostic model: a simulation study , 2017, BMC Medical Research Methodology.
[7] Yvonne Vergouwe,et al. Prognosis and prognostic research: what, why, and how? , 2009, BMJ : British Medical Journal.
[8] P Glasziou,et al. Cardiovascular risk scores do not account for the effect of treatment: a review , 2011, Heart.
[9] S. Cole,et al. Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial. , 2010, American journal of epidemiology.
[10] Richard D Riley,et al. Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings. , 2016, Journal of clinical epidemiology.
[11] T. VanderWeele. Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects , 2010, Epidemiology.
[12] G. Riet,et al. Prediction models in obstetrics: understanding the treatment paradox and potential solutions to the threat it poses , 2016, BJOG : an international journal of obstetrics and gynaecology.
[13] J. Robins,et al. Marginal Structural Models and Causal Inference in Epidemiology , 2000, Epidemiology.
[14] I. White. Uses and limitations of randomization-based efficacy estimators , 2005, Statistical methods in medical research.
[15] P. Royston,et al. A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials , 2004, Statistics in medicine.
[16] Richard D Riley,et al. Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes , 2013, BMJ : British Medical Journal.
[17] K. Bhaskaran,et al. Data Resource Profile: Clinical Practice Research Datalink (CPRD) , 2015, International journal of epidemiology.
[18] J. Robins,et al. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. , 2000, Epidemiology.
[19] Niels Peek,et al. Explicit temporal models for decision-theoretic planning of clinical management , 1999, Artif. Intell. Medicine.
[20] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[21] I Buchan,et al. Combining Health Data Uses to Ignite Health System Learning , 2015, Methods of Information in Medicine.
[22] Daniel O. Scharfstein,et al. Analysis of longitudinal data with irregular, outcome‐dependent follow‐up , 2004 .
[23] J. Hippisley-Cox,et al. Discontinuation and restarting in patients on statin treatment: prospective open cohort study using a primary care database , 2016, British Medical Journal.
[24] Yvonne Vergouwe,et al. Estimates of absolute treatment benefit for individual patients required careful modeling of statistical interactions. , 2015, Journal of clinical epidemiology.
[25] Matthew Sperrin,et al. Informative Observation in Health Data: Association of Past Level and Trend with Time to Next Measurement. , 2017, Studies in health technology and informatics.
[26] Richard D Riley,et al. Unexpected predictor–outcome associations in clinical prediction research: causes and solutions , 2013, Canadian Medical Association Journal.
[27] Karel G M Moons,et al. Treatment use in prognostic model research: a systematic review of cardiovascular prognostic studies , 2017, Diagnostic and Prognostic Research.
[28] E. Steyerberg,et al. Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research , 2013, PLoS medicine.
[29] Judea Pearl,et al. Causal Inference , 2010 .
[30] Iain Buchan,et al. Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models. , 2013, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.
[31] J. Hippisley-Cox,et al. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study , 2017, British Medical Journal.
[32] N. Obuchowski,et al. Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures , 2010, Epidemiology.