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Multiple-Imputation Variance Estimation in Studies With Missing or Misclassified Inclusion Criteria

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 1 June 2021 Photo: Pixabay / Gerd Altmann In observational studies using routinely collected data, a variable with a high level of missingness or misclassification may determine whether an observation is included in the analysis. In settings where inclusion criteria are assessed after imputation, the popular multiple-imputatio

https://www.lupop.lu.se/article/multiple-imputation-variance-estimation-studies-missing-or-misclassified-inclusion-criteria - 2025-02-27

On the Causal Interpretation of Rate-Change Methods: The Prior Event Rate Ratio and Rate Difference

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 2 June 2021 Photo: Pixabay / Gerd Altmann A growing number of studies use data before and after treatment initiation in groups exposed to different treatment strategies to estimate “causal effects” using a ratio measure called the prior event rate ratio (PERR). Here, we offer a causal interpretation for PERR and its additive s

https://www.lupop.lu.se/article/causal-interpretation-rate-change-methods-prior-event-rate-ratio-and-rate-difference - 2025-02-27

What Now? Epidemiology in the Wake of a Pandemic

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 2 June 2021 Image from pixabay / pearson0612 The coronavirus disease 2019 (COVID-19) pandemic and the coming transition to a postpandemic world where COVID-19 will likely remain as an endemic disease present a host of challenges and opportunities in epidemiologic research. Read the paper at https://academic.oup.com/aje/article

https://www.lupop.lu.se/article/what-now-epidemiology-wake-pandemic - 2025-02-27

Reducing Bias Due to Exposure Measurement Error Using Disease Risk Scores

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 3 June 2021 Suppose that an investigator wants to estimate an association between a continuous exposure variable and an outcome, adjusting for a set of confounders. If the exposure variable suffers classical measurement error, in which the measured exposures are distributed with independent error around the true exposure, then

https://www.lupop.lu.se/article/reducing-bias-due-exposure-measurement-error-using-disease-risk-scores - 2025-02-27

Simulation as a Tool for Teaching and Learning Epidemiologic Methods

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 4 June 2021 Photo: Kennet Ruona In aspiring to be discerning epidemiologists, we must learn to think critically about the fundamental concepts in our field and be able to understand and apply many of the novel methods being developed today. We must also find effective ways to teach both basic and advanced topics in epidemiolog

https://www.lupop.lu.se/article/simulation-tool-teaching-and-learning-epidemiologic-methods - 2025-02-27

Factorial Mendelian randomization: using genetic variants to assess interactions

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 5 June 2021 Photo: Pixabay / Arek Socha Factorial Mendelian randomization is the use of genetic variants to answer questions about interactions. Although the approach has been used in applied investigations, little methodological advice is available on how to design or perform a factorial Mendelian randomization analysis. Read

https://www.lupop.lu.se/article/factorial-mendelian-randomization-using-genetic-variants-assess-interactions - 2025-02-27

Bias factor, maximum bias and the E-value: insight and extended applications

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 6 June 2021 Unmeasured confounding can bias the relationship between exposure and outcome. Sensitivity analyses generate bias-adjusted measures but these are not much used; this may change with the availability of the E-value (for evidence for causality in observational studies), appealing for its ease of calculation. Read the

https://www.lupop.lu.se/article/bias-factor-maximum-bias-and-e-value-insight-and-extended-applications - 2025-02-27

Reference-adjusted and standardized all-cause and crude probabilities as an alternative to net survival in population-based cancer studies

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 7 June 2021 Photo: Pixabay / Colin Behrens We illustrate the method and some potential choices using data from England for men diagnosed with melanoma. Various marginal measures are presented and compared. Read the paper at https://academic.oup.com/ije/article/49/5/1614/5896134

https://www.lupop.lu.se/article/reference-adjusted-and-standardized-all-cause-and-crude-probabilities-alternative-net-survival - 2025-02-27

PhD position in Economic History: Neighborhood effects over the life course

Published 27 May 2021 Fotograf: Håkan Röjder The PhD position is linked to the research project The long reach of the neighborhood: Health, education and earnings in Landskrona, Sweden, 1904-2015, funded by Handelsbankens forskningsstiftelser. The PhD student will work in this project in collaboration with other project members and will be affiliated with the Centre for Economic Demography at LUSE

https://www.lupop.lu.se/article/phd-position-economic-history-neighborhood-effects-over-life-course - 2025-02-27

Reflection on modern methods: planned missing data designs for epidemiological research

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 16 June 2021 Photo: Pixabay / Gerd Altmann This paper describes the multiform, wave-missing and two-method designs, including their benefits, their impact on bias and power, and other factors that must be taken into consideration when implementing them in an epidemiological study design. Read the paper at https://academic.oup.

https://www.lupop.lu.se/article/reflection-modern-methods-planned-missing-data-designs-epidemiological-research - 2025-02-27

Protein that affects the ability to secrete insulin in type 2 diabetes

By petra [dot] olsson [at] med [dot] lu [dot] se (Petra Olsson) - published 8 January 2025 Efraim Westholm and Lena Eliasson have measured levels of the protein IGFBP7 in beta cells from people with type 2 diabetes. Photo: Petra Olsson In type 2 diabetes, the body's ability to release insulin is impaired, which leads to high blood glucose levels. Research led from Lund University shows how the lev

https://www.ludc.lu.se/article/protein-affects-ability-secrete-insulin-type-2-diabetes - 2025-02-27

Ingrid Wernstedt Asterholm receives the Leif C. Groop award for research on adipose tissue

By petra [dot] olsson [at] med [dot] lu [dot] se (Petra Olsson) - published 31 January 2025 Ingrid Wernstedt Asterholm at Sahlgrenska Academy at University of Gothenburg receives the Leif C. Groop Award for Outstanding Diabetes Research for research on the adipose tissue. Photograph: Johan Wingborg This year's recipient of the Leif C. Groop Award for Outstanding Diabetes Research maps out mechanis

https://www.ludc.lu.se/article/ingrid-wernstedt-asterholm-receives-leif-c-groop-award-research-adipose-tissue - 2025-02-27

Review: Type 2 diabetes and obesity – what do we really know?

Published 12 October 2016 Social and economic factors have led to a dramatic rise in type 2 diabetes and obesity around the world. In a review in Science, Mark McCarthy, professor at the University of Oxford, UK, and Paul Franks, professor at Lund University, Sweden, examine the knowledge of the actual causes and the interplay between genetics and lifestyle factors. By studying how our genes expre

https://www.ludc.lu.se/article/review-type-2-diabetes-and-obesity-what-do-we-really-know - 2025-02-27

Lund initiates genetic sequencing study in diabetes families to provide new insights into what causes the disease

Published 23 June 2016 Lund University Diabetes Centre has entered into a collaboration with the Regeneron Genetics Center LLC (RGC) and the University of Helsinki involving exome-sequencing and whole genome array genotyping of greater than 9,000 individuals. The collaboration will involve the largest sequencing study in diabetes families to date and aims to help generate knowledge about how to pr

https://www.ludc.lu.se/article/lund-initiates-genetic-sequencing-study-diabetes-families-provide-new-insights-what-causes-disease - 2025-02-27

THADA - new findings in the role of the mother in type 2 diabetes

Published 18 May 2016 Research from Lund University in Sweden can explain why type 2 diabetes is inherited to a greater extent from an individual’s mother. The heredity of a previously known risk gene, THADA, has proven to be dominant if it comes from the mother, whereas it has little or no effect on the child’s risk of disease if it originates from the father.
“Our research contributes to increas

https://www.ludc.lu.se/article/thada-new-findings-role-mother-type-2-diabetes - 2025-02-27

New findings explain the connection between melatonin and type 2 diabetes

Published 13 May 2016 A new experimental and clinical study from Lund University in Sweden shows that the sleep hormone melatonin impairs insulin secretion in people with a common gene variant.

“This could explain why the risk of type 2 diabetes is greater among, for instance, overnight workers or people with sleeping disorders”, says Professor Hindrik Mulder who is responsible for the study. Mel

https://www.ludc.lu.se/article/new-findings-explain-connection-between-melatonin-and-type-2-diabetes - 2025-02-27

New findings can lead to a new principle for treating diabetic kidney damage

Published 12 October 2016 One in three people with diabetes will face some form of renal impairment in the course of their lives. Studies conducted by researchers at the Lund University Diabetes Centre may lead to the development of an entirely new principle for treating type 2 diabetes and preventing kidney damage in the future. Previous analyses have not been able to identify genetic causes as t

https://www.ludc.lu.se/article/new-findings-can-lead-new-principle-treating-diabetic-kidney-damage - 2025-02-27

New findings can lead to a new principle for treating diabetic kidney damage

Published 18 April 2016 One in three people with diabetes will face some form of renal impairment in the course of their lives. Studies conducted by researchers at the Lund University Diabetes Centre may lead to the development of an entirely new principle for treating type 2 diabetes and preventing kidney damage in the future. Previous analyses have not been able to identify genetic causes as to

https://www.ludc.lu.se/article/new-findings-can-lead-new-principle-treating-diabetic-kidney-damage-0 - 2025-02-27

Focus on personalized treatment of type 2 diabetes and cardiovascular disease

Published 20 January 2016 The European Research Council makes a large investment in diabetes research. A project led by Professor Paul Franks at Lund University Diabetes Centre is to develop methods that can be used in the design of preventive treatment for type 2 diabetes and cardiovascular disease. - Through this project we will use functional genomics and epidemiology to identify novel molecula

https://www.ludc.lu.se/article/focus-personalized-treatment-type-2-diabetes-and-cardiovascular-disease - 2025-02-27