20.500.12556/RUL-182758 An overview and recent developments in the analysis of multistate processes Multistate models offer a powerful framework for studying disease processes and can be used to formulate intensity-based and more descriptive marginal regression models. They also represent a natural foundation for the construction of joint models for disease processes and dynamic marker processes, as well as joint models incorporating random censoring and intermittent observation times. This article reviews the ways multistate models can be formed and fitted to life history data. Recent work on pseudo-values and the incorporation of random effects to model dependence on the process history and between-process heterogeneity are also discussed. The software available to facilitate such analyses is listed. frailty process history pseudo-values state occupancy probability time‐dependent covariates transition intensity krhkost zgodovina procesa psevdovrednosti verjetnost zasedenosti stanja časovno odvisne kovariance intenziteta prehoda true false true Angleški jezik Slovenski jezik Članek v reviji 2026-05-22 06:50:47 2026-05-22 06:50:54 2026-05-25 08:55:45 0000-00-00 00:00:00 2026 0 0 27 str. iss. 10/12, art. e70493 Vol. 45 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 311:519.24 0277-6715 10.1002/sim.70493 278917379 RAZ_Gorfine_Malka_2026.pdf RAZ_Gorfine_Malka_2026.pdf 1 94354DCD76BE4F74BEABAA46DC4BB2C2 e90f50486de7a06597e2738e928df931dcc6b2332bf7fb5bfcce15e21259f707 dcb4441a-559a-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234283 https://onlinelibrary.wiley.com/doi/10.1002/sim.70493 1 7f210ddb-5599-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234282 Medicinska fakulteta 0 0 0