Estimating cumulative incidence functions in competing risks data with dependent left‐truncation
نویسندگان
چکیده
منابع مشابه
Cumulative incidence in competing risks data and competing risks regression analysis.
Competing risks occur commonly in medical research. For example, both treatment-related mortality and disease recurrence are important outcomes of interest and well-known competing risks in cancer research. In the analysis of competing risks data, methods of standard survival analysis such as the Kaplan-Meier method for estimation of cumulative incidence, the log-rank test for comparison of cum...
متن کاملCumulative incidence estimates in the presence of competing risks.
When competing risks are present, the appropriate estimate of the failure probabilities is the cumulative incidence. stcompet creates new variables containing the estimate of this function, its standard error, and ln(− ln) transformed confidence bounds. Two examples are presented to illustrate the use of the new command and some key features of the cumulative incidence.
متن کاملNon-parametric inference for cumulative incidence functions in competing risks studies.
In the competing risks problem, a useful quantity is the cumulative incidence function, which is the probability of occurrence by time t for a particular type of failure in the presence of other risks. The estimator of this function as given by Kalbfleisch and Prentice is consistent, and, properly normalized, converges weakly to a zero-mean Gaussian process with a covariance function for which ...
متن کاملEstimation of cumulative incidence functions in competing risks studies under an order restriction
In the competing risks problem an important role is played by the cumulative incidence function (CIF), whose value at time t is the probability of failure by time t for a particular type of failure in the presence of other risks. Its estimation and asymptotic distribution theory have been studied by many. In some cases there are reasons to believe that the CIF’s due to two types of failure are ...
متن کاملRestricted estimation of the cumulative incidence functions corresponding to competing risks
In the competing risks problem, an important role is played by the cumulative incidence function (CIF), whose value at time t is the probability of failure by time t from a particular type of failure in the presence of other risks. In some cases there are reasons to believe that the CIFs due to various types of failure are linearly ordered. El Barmi et al. [3] studied the estimation and inferen...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2019
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.8421