期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (1)
Existing survival models involving functional covariates typically rely on the Cox proportional hazards structure and the assumption of right censorsh......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (3)
Identifying cancer driver genes is essential for understanding the mechanisms of carcinogenesis and designing therapeutic strategies. Although driver ......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (2)
Many clinical trials incorporate stopping rules to terminate early if the clinical question under study can be answered with a high degree of confiden......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (6)
Worldwide, the detection of epidemics has been recognized as a continuing problem of crucial importance to public health surveillance. Various approac......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (6)
Model checking for logistic regression with covariates missing at random is considered. Based on the ideas of Copas (1989) and Osius and Rojek (1992) ......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (7)
Often patients may require treatment on multiple occasions. The re-randomisation design can be used in such multi-episode settings, as it allows patie......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (10)
Joint modelling of longitudinal measurements and time to event, with longitudinal and event submodels coupled by latent state variables, has wide appl......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (10)
The microbiome abundance data is known to be over-dispersed and sparse count data. Among various zero-inflated models, zero-inflated negative binomial......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (10)
When comparing the risk of a post-infection binary outcome, for example, hospitalisation, for two variants of an infectious pathogen, it is important ......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (11)
Survival data with time-varying covariates are common in practice. If relevant, they can improve on the estimation of a survival function. However, th......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (4)
This paper investigates statistical reproducibility of the t-test. We formulate reproducibility as a predictive inference problem and apply the nonpar......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (4)
In this paper, we present a new model averaging technique that can be applied in medical research. The dataset is first partitioned by the values of i......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (6)
Multi-state models provide an extension of the usual survival/event-history analysis setting. In the medical domain, multi-state models give the possi......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (10)
Competing risk analyses have been widely used for the analysis of in-hospital mortality in which hospital discharge is considered as a competing event......
期刊： STATISTICAL METHODS IN MEDICAL RESEARCH, 2022; 31 (3)
Studies of the effects of medical interventions increasingly take place in distributed research settings using data from multiple clinical data source......
