about
Reporting and methods in clinical prediction research: a systematic reviewPrediction models for clustered data: comparison of a random intercept and standard regression model.Predicting 3-year mortality after percutaneous coronary intervention: updated logistic clinical SYNTAX score based on patient-level data from 7 contemporary stent trials.Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.A calibration hierarchy for risk models was defined: from utopia to empirical data.A prediction rule for shoulder pain related sick leave: a prospective cohort studyOccult constipation: faecal retention as a cause of recurrent abdominal pain in children.Development and validation of a prediction model with missing predictor data: a practical approach.Missing covariate data in medical research: to impute is better than to ignore.A simple method to adjust clinical prediction models to local circumstances.Is the clinical risk score for patients with colorectal liver metastases still useable in the era of effective neoadjuvant chemotherapy?Passive immunisation against respiratory syncytial virus: a cost-effectiveness analysis.Aggregating published prediction models with individual participant data: a comparison of different approaches.External validity of risk models: Use of benchmark values to disentangle a case-mix effect from incorrect coefficients.Simvastatin for cognitive deficits and behavioural problems in patients with neurofibromatosis type 1 (NF1-SIMCODA): a randomised, placebo-controlled trial.Incorporating published univariable associations in diagnostic and prognostic modeling.The Patient Health Questionnaire-9 for detection of major depressive disorder in primary care: consequences of current thresholds in a crosssectional studyComparison of approaches to estimate confidence intervals of post-test probabilities of diagnostic test results in a nested case-control studyAssessing discriminative ability of risk models in clustered data.Translation of clinical prediction rules for febrile children to primary care practice: an observational cohort study.Predicting major outcomes in type 1 diabetes: a model development and validation studyPredictors of occult metastasis in clinical stage I nonseminoma: a systematic review.The Prognostic Value of the Work Ability Index for Sickness Absence among Office Workers.Impact of a clinical decision model for febrile children at risk for serious bacterial infections at the emergency department: a randomized controlled trial.External Validation of a Referral Rule for Axial Spondyloarthritis in Primary Care Patients with Chronic Low Back Pain.Nonlinear modeling was applied thoughtfully for risk prediction: the Prostate Biopsy Collaborative Group.[Impact of a clinical decision model for febrile children at risk for serious bacterial infections at the emergency department: a randomized controlled trial].Palliative care consultation services in hospitals in the Netherlands: the design of the COMPASS studyStudy protocol for a cluster randomized controlled trial to evaluate a referral strategy for axial spondyloarthritis in young primary care patients with chronic low back pain; an impact study.Adaptation of clinical prediction models for application in local settings.Clinical prediction model to aid emergency doctors managing febrile children at risk of serious bacterial infections: diagnostic studyPrediction of Preadolescent Overweight and Poor Cardiometabolic Outcome in Children up to 6 Years of Age: Research Protocol.Use of alarm features in referral of febrile children to the emergency department: an observational study.Prediction of Chlamydia trachomatis infection to facilitate selective screening on population and individual level: a cross-sectional study of a population-based screening programme.Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker.Risk prediction models: II. External validation, model updating, and impact assessment.Discrimination ability of prediction models for ordinal outcomes: relationships between existing measures and a new measure.Prediction of Multiple Recurrent Events: A Comparison of Extended Cox Models in Bladder Cancer.Towards better clinical prediction models: seven steps for development and an ABCD for validation.Assessing calibration of multinomial risk prediction models.
P50
Q21092318-7E4DBAB5-47F1-4266-A463-EC1CB271C97FQ30589226-9CA14EB3-DD9B-4E00-9B53-79C8AEF4C2AEQ30826000-BDF89A85-7BCF-4C20-9E22-B2390F6561F1Q30860218-72CEF4A0-F955-41C5-AE50-80910EE57170Q31037136-4590EEEF-B792-4189-AAC2-A92AA45E7B3AQ33265621-B35B9324-24EE-4B92-A15D-20605E62CA5AQ33460442-DBA2ACD8-2802-4681-947F-720D2E078E27Q33481492-4383490E-59CB-482B-A171-FF3C7E4E7622Q33546257-330FE090-A441-4AE8-95BA-E337E7625F65Q33844484-96047356-5545-4048-80BA-2E32BA66A758Q33921511-B3594630-3C95-41E7-8240-C50140D7CF0DQ34117533-F48CD8B8-4349-4A53-869D-669782C297FBQ34284114-C7F00231-3687-4627-8114-6167603E6BDEQ34320813-AA988408-8339-4CDF-BBE0-04FAE52C1C5AQ34375028-9593EE84-F39B-4869-A95D-104ECC653A9AQ34375728-639D2963-050F-4427-890B-1908F52EEB90Q34437338-BF91BC07-1ABC-4244-8246-3EE761562A6DQ34462793-7C58B23F-678B-412A-8CBC-38CAF37981FEQ35085176-80F68C6E-6AB0-4F7A-9D3B-597E72922A3CQ35227351-D387E27E-7EE7-4E3F-837B-3A4FB8181BA5Q35446651-55E76192-71D5-44FA-A53B-FBC39F6DFBA4Q35559793-BF9F2228-C99A-47BE-B251-6D0251FB2FEAQ35643511-C63745FF-FA6D-4E22-899B-A6344773AB28Q35646403-5795E929-96C8-420F-9EC9-010D0D44D223Q35705614-3B2CF6FD-2B2C-4ED2-869F-B058E881774EQ35760036-9B3B7D8A-D10D-43D5-BA5E-A6CFC2DB0E8DQ35823387-5DC086FC-61BF-4428-931C-C1CBBBA34A7BQ35857782-01E95FE6-4B26-4B13-871E-5D695F1C5848Q36074193-EB387629-DF3C-4AD6-AABF-1A66DDCA5A8FQ36186900-80334FE5-09AC-4616-A207-AA79699CC23DQ36734152-8634EE35-A2E8-4FDE-8232-8335F865AC37Q37075847-B39C57CF-C9AB-4287-83AC-D087E32B996AQ37421081-8D7DB715-D31A-4683-9461-1F94C434122FQ37837635-E91E3664-C4F0-4045-B082-160CFF20F981Q37991423-563F58E0-D1DD-4B7C-86C3-B563EDE548C6Q37991424-9BD75A35-AEF9-44DE-8CFE-BC76D57CA4FCQ38019860-210CC043-A3A2-48AF-9A84-6A772D321743Q38400923-8EF65905-676C-475E-A5C8-8963CE4ACABAQ39180614-D66D440C-040C-49BF-8F76-3D46E5785D3BQ39248510-43CF57B2-B6FC-4CF5-834C-8BF97A41A4DF
P50
name
Yvonne Vergouwe
@ast
Yvonne Vergouwe
@en
Yvonne Vergouwe
@es
Yvonne Vergouwe
@nl
type
label
Yvonne Vergouwe
@ast
Yvonne Vergouwe
@en
Yvonne Vergouwe
@es
Yvonne Vergouwe
@nl
prefLabel
Yvonne Vergouwe
@ast
Yvonne Vergouwe
@en
Yvonne Vergouwe
@es
Yvonne Vergouwe
@nl