ArticleAnnals of the Institute of Statistical Mathematics2022
Nonparametric tests for multistate processes with clustered data.
Article in Annals of the Institute of Statistical Mathematics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Effects of Alcohol Use on Patient Retention in HIV Care in East Africa.AIDS and behavior · 2024Article
- Adjusting for informative cluster size in pseudo-value-based regression approaches with clustered time to event data.Statistics in medicine · 2023Article
- Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment.PloS one · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
In this work, we propose nonparametric two-sample tests for population-averaged transition and state occupation probabilities for continuous-time and finite state space processes with clustered, right-censored, and/or left-truncated data. We consider settings where the two groups under comparison are independent or dependent, with or without complete cluster structure. The proposed tests do not impose assumptions regarding the structure of the within-cluster dependence and are applicable to settings with informative cluster size and/or non-Markov processes. The asymptotic properties of the tests are rigorously established using empirical process theory. Simulation studies show that the proposed tests work well even with a small number of clusters, and that they can be substantially more powerful compared to the only, to the best of our knowledge, previously proposed test for this problem. The tests are illustrated using data from a multicenter randomized controlled trial on metastatic squamous-cell carcinoma of the head and neck.
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