Sample size for binary logistic prediction models: Beyond events per variable criteria
出版年份 2018 全文链接
标题
Sample size for binary logistic prediction models: Beyond events per variable criteria
作者
关键词
-
出版物
STATISTICAL METHODS IN MEDICAL RESEARCH
Volume -, Issue -, Pages 096228021878472
出版商
SAGE Publications
发表日期
2018-07-03
DOI
10.1177/0962280218784726
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A computational approach to compare regression modelling strategies in prediction research
- (2016) Romin Pajouheshnia et al. BMC Medical Research Methodology
- No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
- (2016) Maarten van Smeden et al. BMC Medical Research Methodology
- Adequate sample size for developing prediction models is not simply related to events per variable
- (2016) Emmanuel O. Ogundimu et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
- (2015) Gary S. Collins et al. ANNALS OF INTERNAL MEDICINE
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
- (2015) Karel G.M. Moons et al. ANNALS OF INTERNAL MEDICINE
- Sample size considerations for the external validation of a multivariable prognostic model: a resampling study
- (2015) Gary S. Collins et al. STATISTICS IN MEDICINE
- Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions
- (2015) Sander Greenland et al. STATISTICS IN MEDICINE
- Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events
- (2015) Menelaos Pavlou et al. STATISTICS IN MEDICINE
- How to develop a more accurate risk prediction model when there are few events
- (2015) Menelaos Pavlou et al. BMJ-British Medical Journal
- How to develop a more accurate risk prediction model when there are few events
- (2015) Menelaos Pavlou et al. BMJ-British Medical Journal
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist
- (2014) Karel G. M. Moons et al. PLOS MEDICINE
- Risk prediction models: II. External validation, model updating, and impact assessment
- (2012) Karel G M Moons et al. HEART
- Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker
- (2012) Karel G M Moons et al. HEART
- Reporting and Methods in Clinical Prediction Research: A Systematic Review
- (2012) Walter Bouwmeester et al. PLOS MEDICINE
- Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure
- (2011) Delphine S. Courvoisier et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- A weakly informative default prior distribution for logistic and other regression models
- (2009) Andrew Gelman et al. Annals of Applied Statistics
- Bias in odds ratios by logistic regression modelling and sample size
- (2009) Szilard Nemes et al. BMC Medical Research Methodology
- Assessing the Performance of Prediction Models
- (2009) Ewout W. Steyerberg et al. EPIDEMIOLOGY
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