Estimating and testing the influence of early diagnosis on cancer survival via point effects of diagnoses and treatments.

ABSTRACT: A cancer diagnosis is part of a complex stochastic process, which involves patient's characteristics, diagnosing methods, an initial assessment of cancer progression, treatments and a certain outcome of interest. To evaluate the performance of diagnoses, one needs not only a consistent estimation of the causal effect under a specified regime of diagnoses and treatments but also reliable confidence interval, P-value and hypothesis testing of the causal effect. In this article, we identify causal effects under various regimes of diagnoses and treatments by the point effects of diagnoses and treatments and thus are able to estimate and test these causal effects by estimating and testing point effects in the familiar framework of single-point causal inference. Specifically, using data f

SUBMITTER: Wang X 

PROVIDER: S-EPMC9315175 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature