Statistical analysis of medical data. Part III: Multivariable analysis

[1] Greenland S(1989)Modeling and variable selection in epidemiologic analysis Am J Public Health 79 340-9

[2] Hachamovitch R(2000)Statistical analysis of medical data. Part I: univariable analysis J Nucl Cardiol 7 146-52

[3] Shufelt C(1988)Regression models in clinical studies: determining relationships between predictors and response J Natl Cancer Inst 80 1198-202

[4] Harrell FE(1996)Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors Stat Med 15 361-87

[5] Lee KL(1993)The risk of determining risk with multivariable models Ann Intern Med 118 201-10

[6] Pollock BG(1995)Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy J Clin Epidemiol 48 1495-501

[7] Harrell FE(1984)Regression modelling strategies for improved prognostic prediction Stat Med 3 143-52

[8] Lee KL(1985)Regression models for prognostic prediction: advantages, problems, and suggested solutions Cancer Treat Rep 69 1071-7

[9] Mark DB(1996)A simulation study of the number of events per variable in logistic regression analysis J Clin Epidemiol 49 1373-9

[10] Concato J(1995)Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates J Clin Epidemiol 48 1503-10

[1] Greenland S(1989)Modeling and variable selection in epidemiologic analysis Am J Public Health 79 340-9

[2] Hachamovitch R(2000)Statistical analysis of medical data. Part I: univariable analysis J Nucl Cardiol 7 146-52

[3] Shufelt C(1988)Regression models in clinical studies: determining relationships between predictors and response J Natl Cancer Inst 80 1198-202

[4] Harrell FE(1996)Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors Stat Med 15 361-87

[5] Lee KL(1993)The risk of determining risk with multivariable models Ann Intern Med 118 201-10

[6] Pollock BG(1995)Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy J Clin Epidemiol 48 1495-501

[7] Harrell FE(1984)Regression modelling strategies for improved prognostic prediction Stat Med 3 143-52

[8] Lee KL(1985)Regression models for prognostic prediction: advantages, problems, and suggested solutions Cancer Treat Rep 69 1071-7

[9] Mark DB(1996)A simulation study of the number of events per variable in logistic regression analysis J Clin Epidemiol 49 1373-9

[10] Concato J(1995)Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates J Clin Epidemiol 48 1503-10