Janka Schössow
YOU?
Author Swipe
View article: Alcohol Consumption, Risk of Periodontitis and Change of Periodontal Parameters in a Population‐Based Cohort Study
Alcohol Consumption, Risk of Periodontitis and Change of Periodontal Parameters in a Population‐Based Cohort Study Open
Aim To investigate the association of alcohol consumption with periodontitis risk and change in periodontal parameters over time. Methods Using data from 1285 participants of two population cohort studies embedded in the Study of Health in…
View article: Conducting an Epidemiologic Study and Making It FAIR: Reusable Tools and Procedures from a Population-Based Cohort Study
Conducting an Epidemiologic Study and Making It FAIR: Reusable Tools and Procedures from a Population-Based Cohort Study Open
Conducting large-scale epidemiologic studies requires powerful software for electronic data capture, data management, data quality assessments, and participant management. There is also an increasing need to make studies and the data colle…
View article: Cohort Profile Update: The Study of Health in Pomerania (SHIP)
Cohort Profile Update: The Study of Health in Pomerania (SHIP) Open
... The Study of Health in Pomerania (SHIP) comprises the two independent cohorts SHIP-START (recruited between 1997 and 2001) and SHIP-TREND (recruited between 2008 to 2012), which were established to examine the health and disease status…
View article: Modeling transcriptomic age using knowledge-primed artificial neural networks
Modeling transcriptomic age using knowledge-primed artificial neural networks Open
The development of ‘age clocks’, machine learning models predicting age from biological data, has been a major milestone in the search for reliable markers of biological age and has since become an invaluable tool in aging research. Howeve…
View article: Data quality monitoring in clinical and observational epidemiologic studies: the role of metadata and process information
Data quality monitoring in clinical and observational epidemiologic studies: the role of metadata and process information Open
High data quality is fundamental for valid inferences in health research. Metadata, i.e. “data that describe other data”, are essential to implement data quality assessments but more guidance on which metadata to use is needed. Similarly, …