Aggregating published prediction models with individual participant data: a comparison of different approaches
暂无分享,去创建一个
Karel G M Moons | Yvonne Vergouwe | Ewout W Steyerberg | Hendrik Koffijberg | Thomas P A Debray | Y. Vergouwe | K. Moons | T. Debray | H. Koffijberg | Ewout W. Steyerberg
[1] Ewout W Steyerberg,et al. Validation and updating of predictive logistic regression models: a study on sample size and shrinkage , 2004, Statistics in medicine.
[2] Katalin Balázs,et al. Detecting Heterogeneity in Logistic Regression Models , 2006 .
[3] A. Hoes,et al. Diagnostic classification in patients with suspected deep venous thrombosis: physicians' judgement or a decision rule? , 2010, The British journal of general practice : the journal of the Royal College of General Practitioners.
[4] P. Royston,et al. Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.
[5] E W Steyerberg,et al. Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis. , 1999, Journal of clinical epidemiology.
[6] M. Pencina,et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.
[7] H C Van Houwelingen,et al. Construction, validation and updating of a prognostic model for kidney graft survival. , 1995, Statistics in medicine.
[8] Johannes B Reitsma,et al. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. , 2005, Journal of clinical epidemiology.
[9] G. Kovacs,et al. Evaluation of D-Dimer in the diagnosis of suspected deep-vein thrombosis , 2004 .
[10] N. Laird,et al. Meta-analysis in clinical trials. , 1986, Controlled clinical trials.
[11] A. Abu-Hanna,et al. Prognostic Models in Medicine , 2001, Methods of Information in Medicine.
[12] D E Grobbee,et al. External validation is necessary in prediction research: a clinical example. , 2003, Journal of clinical epidemiology.
[13] J. Sleigh,et al. Diagnosis of lower limb deep venous thrombosis in emergency department patients: performance of Hamilton and modified Wells scores. , 2006, Annals of emergency medicine.
[14] Y. Vergouwe,et al. Validation, updating and impact of clinical prediction rules: a review. , 2008, Journal of clinical epidemiology.
[15] Dan Jackson,et al. Multivariate meta-analysis: Potential and promise , 2011, Statistics in medicine.
[16] Betsy Jane Becker,et al. The Synthesis of Regression Slopes in Meta-Analysis. , 2007, 0801.4442.
[17] Ewout W Steyerberg,et al. A systematic review finds methodological improvements necessary for prognostic models in determining traumatic brain injury outcomes. , 2008, Journal of clinical epidemiology.
[18] E W Steyerberg,et al. See Blockindiscussions, Blockinstats, Blockinand Blockinauthor Blockinprofiles Blockinfor Blockinthis Blockinpublication Prognostic Blockinmodels Blockinbased Blockinon Blockinliterature Blockinand Individual Blockinpatient Blockindata Blockinin Blockinlogistic Blockinregression Analysis Article Blo , 2022 .
[19] Juan Lu,et al. IMPACT database of traumatic brain injury: design and description. , 2007, Journal of neurotrauma.
[20] A J Sutton,et al. Meta‐analysis of individual‐ and aggregate‐level data , 2008, Statistics in medicine.
[21] D. Altman,et al. Statistical heterogeneity in systematic reviews of clinical trials: a critical appraisal of guidelines and practice , 2002, Journal of health services research & policy.
[22] W. Levack,et al. Experience of recovery and outcome following traumatic brain injury: a metasynthesis of qualitative research , 2010, Disability and rehabilitation.
[23] G. Bedogni,et al. Clinical Prediction Models—a Practical Approach to Development, Validation and Updating , 2009 .
[24] Karel Moons,et al. Safely Ruling Out Deep Venous Thrombosis in Primary Care , 2009, Annals of Internal Medicine.
[25] A. Skene,et al. A trial of the effect of nimodipine on outcome after head injury , 2005, Acta Neurochirurgica.
[26] Theo Stijnen,et al. Advanced methods in meta‐analysis: multivariate approach and meta‐regression , 2002, Statistics in medicine.
[27] Richard D. Riley,et al. A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance , 2012, Breast Cancer Research and Treatment.
[28] Y Vergouwe,et al. A new diagnostic rule for deep vein thrombosis: safety and efficiency in clinically relevant subgroups. , 2007, Family practice.
[29] R. Ferguson,et al. LYMPHOID CELLS IN JEJUNAL MUCOSA , 1975, The Lancet.
[30] B Jennett,et al. PREDICTING OUTCOME IN INDIVIDUAL PATIENTS AFTER SEVERE HEAD INJURY , 1976, The Lancet.
[31] Richard D Riley,et al. Bivariate random-effects meta-analysis and the estimation of between-study correlation , 2007, BMC Medical Research Methodology.
[32] D. Altman,et al. Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.
[33] Dan Jackson,et al. Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses , 2009, Statistics in medicine.
[34] K. Covinsky,et al. Assessing the Generalizability of Prognostic Information , 1999, Annals of Internal Medicine.
[35] Gordon D. Murray,et al. A multicenter trial of the efficacy of nimodipine on outcome after severe head injury. The European Study Group on Nimodipine in Severe Head Injury. , 1994, Journal of neurosurgery.
[36] D. Mottier,et al. Réalisation d’un score clinique de prédiction de thrombose veineuse profonde des membres inférieurs spécifique à la médecine générale , 2009 .
[37] Richard D Riley,et al. Meta‐analysis of continuous outcomes combining individual patient data and aggregate data , 2008, Statistics in medicine.
[38] Yvonne Vergouwe,et al. A simple method to adjust clinical prediction models to local circumstances , 2009, Canadian journal of anaesthesia = Journal canadien d'anesthesie.
[39] N. Cook. Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction , 2007, Circulation.
[40] Christiaan de Leeuw,et al. Augmenting Data With Published Results in Bayesian Linear Regression , 2012, Multivariate behavioral research.
[41] Lawrence Joseph,et al. Impact of approximating or ignoring within‐study covariances in multivariate meta‐analyses , 2008, Statistics in medicine.
[42] Ian Roberts,et al. Systematic review of prognostic models in traumatic brain injury , 2006, BMC Medical Informatics Decis. Mak..
[43] A. Hyder,et al. The impact of traumatic brain injuries: a global perspective. , 2007, NeuroRehabilitation.
[44] Janis Bormanis,et al. Value of assessment of pretest probability of deep-vein thrombosis in clinical management , 1997, The Lancet.
[45] Juan Lu,et al. Predicting Outcome after Traumatic Brain Injury: Development and International Validation of Prognostic Scores Based on Admission Characteristics , 2008, PLoS medicine.
[46] Ewout W Steyerberg,et al. Internal and external validation of predictive models: a simulation study of bias and precision in small samples. , 2003, Journal of clinical epidemiology.
[47] G. Brier. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY , 1950 .
[48] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[49] Karel G M Moons,et al. Ruling out deep venous thrombosis in primary care , 2005, Thrombosis and Haemostasis.
[50] Richard D Riley,et al. Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods. , 2007, Journal of clinical epidemiology.
[51] Douglas G Altman,et al. Prognostic Models: A Methodological Framework and Review of Models for Breast Cancer , 2009, Cancer investigation.
[52] Richard D Riley,et al. Ten steps towards improving prognosis research , 2009, BMJ : British Medical Journal.