Events per variable for risk differences and relative risks using pseudo-observations

Lifetime Data Analysis

Volumn 20, Issue 4, 2014, Pages 584-598

  Hansen, Stefan Nygaard ^a   Andersen, Per Kragh ^b   Parner, Erik Thorlund ^a  

^a AARHUS UNIVERSITY   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Events per variable; Pseudo observations; Right censoring; Simulation study; Time to event

Indexed keywords

COMPUTER SIMULATION; HUMAN; KAPLAN MEIER METHOD; LIFE TABLE; PROBABILITY; PROPORTIONAL HAZARDS MODEL; REGRESSION ANALYSIS; RISK; STATISTICAL MODEL;

COMPUTER SIMULATION; HUMANS; KAPLAN-MEIER ESTIMATE; LIFE TABLES; LOGISTIC MODELS; MODELS, STATISTICAL; PROBABILITY; PROPORTIONAL HAZARDS MODELS; REGRESSION ANALYSIS; RISK;

EID: 84891749503     PISSN: 13807870     EISSN: 15729249     Source Type: Journal    
DOI: 10.1007/s10985-013-9290-4     Document Type: Article

References (17)

1. Andersen PK, Hansen MG, Klein JP (2004) Regression analysis of restricted mean survival time based on pseudo-observations. Life Time Data Anal 10:335–350
2. Andersen PK, Klein JP (2007) Regression analysis for multistate models based on a pseudovalue approach, with applications to bone marrow transplantation studies. Scand J Stat 34:3–16
3. Andersen PK, Klein JP, Rosthoj S (2003) Generalised linear models for correlated pseudoobservations, with applications to multi-state models. Biometrika 90:15–27
4. Andersen PK, Perme MP (2010) Pseudo-observations in survival analysis. Stat Methods Med Res 19(1):71–99
5. Binder N, Gerds TA, Andersen P (2013) Pseudo-observations for competing risks with covariate dependent censoring. Lifetime Data Anal
6. Concato J, Peduzzi P, Holford TR, Feinstein AR (1995) Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy. J Clin Epidemiol 48(12):1495–1501
7. Graw F, Gerds TA, Schumacher M (2009) On pseudo-values for regression analysis in competing risks models. Lifetime Data Anal 15(2):241–255
8. Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53(282):457–481
9. Klein JP (2006) Modeling competing risks in cancer studies. Stat Med 25:1015–1034
10. Klein JP, Andersen PK (2005) Regression modeling of competing risks data based on pseudo-values of the cumulative incidence function. Biometrics 61:223–229
11. Klein JP, Andersen PK, Logan BL, Harhoff MG (2007) Analyzing survival curves at a fixed point in time. Stat Med 26:4505–4519
12. Klein JP, Gerster M, Andersen PK, Tarima S, Perme MP (2008) SAS and R functions to compute pseudo-values for censored data regression. Comput Methods Programs Biomed 89:289–300
13. Liang KY, Zeger SL (1986) Longitudinal data analysis using generalized linear models. Biometrika 73(1):13–22
14. Parner, E.T., Andersen, P.K.: Regression analysis of censored data using pseudoobservations. Stata Journal 10(3), 408–422(15) (2010).
15. Peduzzi P, Concato J, Feinstein AR, Holford TR (1995) Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol 48(12):1503–1510
16. Perme MP, Andersen PK (2008) Checking hazard regression models using pseudoobservations. Stat Med 27(25):5309–5328
17. Vittinghoff E, McCulloch CE (2007) Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol 165(6):710–718