Missing data are ubiquitous in medical research, yet there is still uncertainty over when
restricting to the complete records is likely to be acceptable, when more complex methods …

Recently, multiple imputation has been proposed as a tool for individual patient data meta‐
analysis with sporadically missing observations, and it has been suggested that within‐study …

Not‐at‐random missingness presents a challenge in addressing missing data in many
health research applications. In this article, we propose a new approach to account for not …

In the presented study, the problem of interactive feature extraction, ie, supported by
interaction with users, is discussed, and several innovative approaches to automating …

Primary headache disorders are the most common complaints worldwide. The
socioeconomic and personal impact of headache disorders is enormous, as it is the leading …

In this article, we introduce the concepts of sensitivity analyses for missing data, and outline
how these may be conveniently performed using multiple imputation (MI). Motivated by data …

Розглянуто сучасні тенденції демографічного розвитку України. Визначено, що
несприятлива соціально-демографічна ситуація у країні характеризується вичерпанням …

The first major contribution of the thesis is the development of sensitivity analysis strategy for
dealing with incomplete longitudinal data. The second important contribution is setting up of …

In the dissertation, the problem of interactive feature extraction, ie, supported by interaction
with users, is discussed, and several innovative approaches to automating feature creation …

Over the years, long queues were recognized as a common problem in the healthcare
domain, and it is significant to manage them for patients' safety and overall satisfaction …