Related references
Note: Only part of the references are listed.Long-term survival and maintenance efforts of splinted teeth in periodontitis patients
Christian Graetz et al.
JOURNAL OF DENTISTRY (2019)
Introduction of a prediction model to assigning periodontal prognosis based on survival time
Pedro Martinez-Canut et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2018)
Poor performance of clinical prediction models: the harm of commonly applied methods
Ewout W. Steyerberg et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2018)
Validation of multivariable models for predicting tooth loss in periodontitis patients
Falk Schwendicke et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2018)
Prediction models for the incidence and progression of periodontitis: A systematic review
Mi Du et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2018)
Cost comparison of prediction-based decision-making for periodontally affected molars
Falk Schwendicke et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2017)
Impact of correlation of predictors on discrimination of risk models in development and external populations
Suman Kundu et al.
BMC MEDICAL RESEARCH METHODOLOGY (2017)
Prediction models need appropriate internal, internal-external, and external validation
Ewout W. Steyerberg et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2016)
New Guideline for the Reporting of Studies Developing, Validating, or Updating a Multivariable Clinical Prediction Model: The TRIPOD Statement
Karel G. M. Moons et al.
ADVANCES IN ANATOMIC PATHOLOGY (2015)
Predictors of tooth loss due to periodontal disease in patients following long-term periodontal maintenance
Pedro Martinez-Canut
JOURNAL OF CLINICAL PERIODONTOLOGY (2015)
Variables affecting tooth survival and changes in probing depth: a long-term follow-up of periodontitis patients
Michael Saminsky et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2015)
Impact of Patient Compliance on Tooth Loss during Supportive Periodontal Therapy: A Systematic Review and Meta-analysis
C. T. Lee et al.
JOURNAL OF DENTAL RESEARCH (2015)
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Takaya Saito et al.
PLOS ONE (2015)
RiGoR: reporting guidelines to address common sources of bias in risk model development
Kathleen F. Kerr et al.
BIOMARKER RESEARCH (2015)
Caries risk assessment. A systematic review
I. Mejare et al.
ACTA ODONTOLOGICA SCANDINAVICA (2014)
Prediction of periodontal disease: modelling and validation in different general German populations
Yiqiang Zhan et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2014)
Tooth loss and periodontitis by socio-economic status and inflammation in a longitudinal population-based study
Sabine Buchwald et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2013)
Retention of questionable and hopeless teeth in compliant patients treated for aggressive periodontitis
Christian Graetz et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2011)
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
Yanmin Sun et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2009)
A Novel Decision-Making Process for Tooth Retention or Extraction
Gustavo Avila et al.
JOURNAL OF PERIODONTOLOGY (2009)
Prognostic model for tooth survival in patients treated for periodontitis s
Clovis M. Faggion et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2007)
Share Paper
