Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review
Background When randomisation is not possible, interrupted time series (ITS) design has
increasingly been advocated as a more robust design to evaluating health system quality …
increasingly been advocated as a more robust design to evaluating health system quality …
Accounting for missing data in statistical analyses: multiple imputation is not always the answer
RA Hughes, J Heron, JAC Sterne… - International journal of …, 2019 - academic.oup.com
Background Missing data are unavoidable in epidemiological research, potentially leading
to bias and loss of precision. Multiple imputation (MI) is widely advocated as an …
to bias and loss of precision. Multiple imputation (MI) is widely advocated as an …
When and how should multiple imputation be used for handling missing data in randomised clinical trials–a practical guide with flowcharts
Background Missing data may seriously compromise inferences from randomised clinical
trials, especially if missing data are not handled appropriately. The potential bias due to …
trials, especially if missing data are not handled appropriately. The potential bias due to …
Data mining and analytics in the process industry: The role of machine learning
Data mining and analytics have played an important role in knowledge discovery and
decision making/supports in the process industry over the past several decades. As a …
decision making/supports in the process industry over the past several decades. As a …
On the unnecessary ubiquity of hierarchical linear modeling.
In psychology and the behavioral sciences generally, the use of the hierarchical linear
model (HLM) and its extensions for discrete outcomes are popular methods for modeling …
model (HLM) and its extensions for discrete outcomes are popular methods for modeling …
[HTML][HTML] Effects of a vitamin D and leucine-enriched whey protein nutritional supplement on measures of sarcopenia in older adults, the PROVIDE study: a randomized …
Background Age-related losses of muscle mass, strength, and function (sarcopenia) pose
significant threats to physical performance, independence, and quality of life. Nutritional …
significant threats to physical performance, independence, and quality of life. Nutritional …
A comprehensive survey on imputation of missing data in internet of things
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …
communication technologies, and Internet protocols with broad applications. Collecting data …
[图书][B] Applied survey data analysis
SG Heeringa, BT West, PA Berglund - 2017 - taylorfrancis.com
Highly recommended by the Journal of Official Statistics, The American Statistician, and
other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date …
other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date …
Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review
J Yu, Y Zhang - Neural Computing and Applications, 2023 - Springer
Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …
and process reliability in modern industrial systems. Those traditional FDD techniques are …
Assumptions in structural equation modeling
RB Kline - Handbook of structural equation modeling, 2012 - books.google.com
“Your assumptions are your windows on the world. Scrub them off every once in a while or
the light won't come in. If you challenge your own, you won't be so quick to accept the …
the light won't come in. If you challenge your own, you won't be so quick to accept the …