[HTML][HTML] OpenSAFELY: factors associated with COVID-19 death in 17 million patients
OpenSAFELY: factors associated with COVID-19 death in 17 million patients - PMC Back to
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Factors associated with COVID-19-related death using OpenSAFELY
Abstract Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide.
There is unprecedented urgency to understand who is most at risk of severe outcomes, and …
There is unprecedented urgency to understand who is most at risk of severe outcomes, and …
Using simulation studies to evaluate statistical methods
Simulation studies are computer experiments that involve creating data by pseudo‐random
sampling. A key strength of simulation studies is the ability to understand the behavior of …
sampling. A key strength of simulation studies is the ability to understand the behavior of …
Ethnic differences in the prevalence of type 2 diabetes diagnoses in the UK: cross-sectional analysis of the health improvement network primary care database
TM Pham, JR Carpenter, TP Morris, M Sharma… - Clinical …, 2019 - Taylor & Francis
Aims/Hypothesis Type 2 diabetes mellitus is associated with high levels of disease burden,
including increased mortality risk and significant long-term morbidity. The prevalence of …
including increased mortality risk and significant long-term morbidity. The prevalence of …
Efficient utilization of missing data in cost-sensitive learning
Different from previous imputation methods which impute missing values in the incomplete
samples by using the information in the complete samples, this paper proposes a Date-drive …
samples by using the information in the complete samples, this paper proposes a Date-drive …
Variations by ethnicity in referral and treatment pathways for IAPT service users in South London
BackgroundThe Improving Access to Psychological Therapies (IAPT) programme aims to
provide equitable access to therapy for common mental disorders. In the UK, inequalities by …
provide equitable access to therapy for common mental disorders. In the UK, inequalities by …
Health indicator recording in UK primary care electronic health records: key implications for handling missing data
Background Clinical databases are increasingly used for health research; many of them
capture information on common health indicators including height, weight, blood pressure …
capture information on common health indicators including height, weight, blood pressure …
Partial multiple imputation with variational autoencoders: tackling not at randomness in healthcare data
RC Pereira, PH Abreu… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Missing data can pose severe consequences in critical contexts, such as clinical research
based on routinely collected healthcare data. This issue is usually handled with imputation …
based on routinely collected healthcare data. This issue is usually handled with imputation …
[HTML][HTML] HIV suppression was maintained during the COVID-19 pandemic in Malawi: a program-level cohort study
T Kalua, M Egger, A Jahn, T Chimpandule… - Journal of clinical …, 2022 - Elsevier
Objective Measures introduced to reduce the spread of SARS-CoV-2 by the Malawi
government and the national HIV care program might have compromised treatment …
government and the national HIV care program might have compromised treatment …
[HTML][HTML] Missing data: Issues, concepts, methods
Missing data are a common issue in medical research. We aim to explain in non-technical
language the issues and concepts around missing data, as well as discuss common …
language the issues and concepts around missing data, as well as discuss common …