A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models.

ABSTRACT: Multi-state models are increasingly being used to model complex epidemiological and clinical outcomes over time. It is common to assume that the models are Markov, but the assumption can often be unrealistic. The Markov assumption is seldomly checked and violations can lead to biased estimation of many parameters of interest. This is a well known problem for the standard Aalen-Johansen estimator of transition probabilities and several alternative estimators, not relying on the Markov assumption, have been suggested. A particularly simple approach known as landmarking have resulted in the Landmark-Aalen-Johansen estimator. Since landmarking is a stratification method a disadvantage of landmarking is data reduction, leading to a loss of power. This is problematic for "less traveled" transiti

SUBMITTER: Maltzahn N 

PROVIDER: S-EPMC8536588 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature