A note on calculating asymptotic confidence intervals for the adjusted risk difference and number needed to treat in the Cox regression model

作者：Laubender Ruediger P^*; Bender Ralf

来源：Statistics in Medicine, 2014, 33(5): 798-810.

DOI：10.1002/sim.5913

• adjustment
• confidence intervals
• confounding
• counting process
• Cox proportional hazards regression
• exposure impact number (EIN)
• number needed to be exposed (NNE)
• number needed to treat (NNT)
• risk difference (RD)

Recently, Laubender and Bender (Stat.Med.2010; 29: 851-859) applied the average risk difference (RD) approach to estimate adjusted RD and corresponding number needed to treat measures in the Cox proportional hazards model. We calculated standard errors and confidence intervals by using bootstrap techniques. In this paper, we develop asymptotic variance estimates of the adjusted RD measures and corresponding asymptotic confidence intervals within the counting process theory and evaluated them in a simulation study. We illustrate the use of the asymptotic confidence intervals by means of data of the Dusseldorf Obesity Mortality Study.

• 出版日期2014-2-28
• 单位河北医科大学