Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
E Zio - Reliability Engineering & System Safety, 2022 - Elsevier
We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …
building a new World in which the digital, physical and human dimensions are interrelated in …
[HTML][HTML] Impacts of the COVID-19 pandemic on life of higher education students: A global perspective
The paper presents the most comprehensive and large-scale study to date on how students
perceive the impacts of the first wave of COVID-19 crisis in early 2020 on various aspects of …
perceive the impacts of the first wave of COVID-19 crisis in early 2020 on various aspects of …
Academic student satisfaction and perceived performance in the e-learning environment during the COVID-19 pandemic: Evidence across ten countries
The outbreak of the COVID-19 pandemic has dramatically shaped higher education and
seen the distinct rise of e-learning as a compulsory element of the modern educational …
seen the distinct rise of e-learning as a compulsory element of the modern educational …
Research and reporting considerations for observational studies using electronic health record data
Electronic health records (EHRs) are an increasingly important source of real-world health
care data for observational research. Analyses of data collected for purposes other than …
care data for observational research. Analyses of data collected for purposes other than …
[HTML][HTML] Framework for the treatment and reporting of missing data in observational studies: the treatment and reporting of missing data in observational studies …
Missing data are ubiquitous in medical research. Although there is increasing guidance on
how to handle missing data, practice is changing slowly and misapprehensions abound …
how to handle missing data, practice is changing slowly and misapprehensions abound …
Rebutting existing misconceptions about multiple imputation as a method for handling missing data
JR Van Ginkel, M Linting, RCA Rippe… - Journal of personality …, 2020 - Taylor & Francis
Missing data is a problem that occurs frequently in many scientific areas. The most
sophisticated method for dealing with this problem is multiple imputation. Contrary to other …
sophisticated method for dealing with this problem is multiple imputation. Contrary to other …
[HTML][HTML] Handling missing data in clinical research
MW Heymans, JWR Twisk - Journal of clinical epidemiology, 2022 - Elsevier
Because missing data are present in almost every study, it is important to handle missing
data properly. First of all, the missing data mechanism should be considered. Missing data …
data properly. First of all, the missing data mechanism should be considered. Missing data …
An educational review of the statistical issues in analysing utility data for cost-utility analysis
The aim of cost-utility analysis is to support decision making in healthcare by providing a
standardised mechanism for comparing resource use and health outcomes across …
standardised mechanism for comparing resource use and health outcomes across …
Principled approaches to missing data in epidemiologic studies
Principled methods with which to appropriately analyze missing data have long existed;
however, broad implementation of these methods remains challenging. In this and 2 …
however, broad implementation of these methods remains challenging. In this and 2 …
Missing data in a multi-item instrument were best handled by multiple imputation at the item score level
I Eekhout, HCW De Vet, JWR Twisk, JPL Brand… - Journal of clinical …, 2014 - Elsevier
Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …
frequently applied, although advanced techniques such as multiple imputation (MI) are …