Statistical primer: multivariable regression considerations and pitfalls†
Tóm tắt
Từ khóa
Tài liệu tham khảo
Benedetto, 2018, Statistical primer: propensity score matching and its alternatives, Eur J Cardiothorac Surg, 53, 1112, 10.1093/ejcts/ezy167
Grant, 2018, Statistical primer: developing and validating a risk prediction model, Eur J Cardiothorac Surg, 54, 203, 10.1093/ejcts/ezy180
Thuijs, 2018, Statistical primer: basics of survival analysis for the cardiothoracic surgeon, Interact CardioVasc Thorac Surg, 27, 1, 10.1093/icvts/ivy010
Hickey, 2018, Statistical primer: performing repeated-measures analysis, Interact CardioVasc Thorac Surg, 26, 539, 10.1093/icvts/ivy009
Peters, 2008, Multifarious terminology: multivariable or multivariate? Univariable or univariate?, Paediatr Perinat Epidemiol, 22, 506., 10.1111/j.1365-3016.2008.00966.x
Hidalgo, 2013, Multivariate or multivariable regression?, Am J Public Health, 103, 39, 10.2105/AJPH.2012.300897
Vittinghoff, 2007, Relaxing the rule of ten events per variable in logistic and cox regression, Am J Epidemiol, 165, 710, 10.1093/aje/kwk052
Austin, 2017, Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models, Stat Methods Med Res, 26, 796, 10.1177/0962280214558972
Steyerberg, 2011, Logistic regression modeling and the number of events per variable: selection bias dominates, J Clin Epidemiol, 64, 1464, 10.1016/j.jclinepi.2011.06.016
van Smeden, 2018, Sample size for binary logistic prediction models: beyond events per variable criteria, Stat Methods Med Res
van Smeden, 2016, No rationale for 1 variable per 10 events criterion for binary logistic regression analysis, BMC Med Res Methodol, 16, 163, 10.1186/s12874-016-0267-3
Steyerberg, 1999, Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis, J Clin Epidemiol, 52, 935, 10.1016/S0895-4356(99)00103-1
Harrell, 2015, Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis, 2, 10.1007/978-3-319-19425-7
Hastie, 2008, The Elements of Statistical Learning, 2
Hickey, 2018, Statistical primer: checking model assumptions with regression diagnostics, Interact CardioVasc Thorac Surg
Royston, 1999, The use of fractional polynomials to model continuous risk variables in epidemiology, Int J Epidemiol, 28, 964, 10.1093/ije/28.5.964
Durrleman, 1989, Flexible regression models with cubic splines, Stat Med, 8, 551, 10.1002/sim.4780080504
Royston, 2006, Dichotomizing continuous predictors in multiple regression: a bad idea, Stat Med, 25, 127, 10.1002/sim.2331
Altman, 2006, The cost of dichotomising continuous variables, BMJ, 332, 1080., 10.1136/bmj.332.7549.1080
Wasserstein, 2016, The ASA’s statement on P-values: context, process, and purpose, Am Stat, 70, 129, 10.1080/00031305.2016.1154108