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Development of a pharmacoeconomic registry: an example using hormonal contraceptives

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 11 May 2021 This registry is a comprehensive database of economic evaluations, including costs, clinical probabilities and health-state utility estimates. The collated data captured from published information in this registry can be used to identify trends in the literature, conduct systematic reviews and meta-analysis and dev

https://www.lupop.lu.se/article/development-pharmacoeconomic-registry-example-using-hormonal-contraceptives - 2024-12-31

Ny studie: Tillgång till vård när man har utvecklingsstörning

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 12 May 2021 Photo: flickr / agilemktg1 När man är sjuk behöver man ibland träffa en läkare. I Sverige ska alla personer ha lika stor rätt till att träffa läkare och få den vård och hjälp man behöver. I den här studien kommer man att titta på om det är så - alltså om personer med intellektuell utvecklingsstörning får bra och rä

https://www.lupop.lu.se/article/ny-studie-tillgang-till-vard-nar-man-har-utvecklingsstorning - 2024-12-31

Responsible Open Science - Workshop on the fundamentals of Research Data Management for Social Scientists

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 17 May 2021 During two half days on 14 and 17 June, ODISSEI, CESSDA-ERIC and DANS will organise a workshop on research data management for starting researchers in the social sciences. Read more at https://dans.knaw.nl/en/current/responsible-open-science-workshop-on-th…

https://www.lupop.lu.se/article/responsible-open-science-workshop-fundamentals-research-data-management-social-scientists - 2024-12-31

Growth mixture models: a case example of the longitudinal analysis of patient‐reported outcomes data captured by a clinical registry

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 18 May 2021 Growth mixture modelling can be a valuable tool for classifying multiple unique patient-reported outcome trajectories that have previously been unobserved in real-world applications; however, their use requires substantial transparency regarding the processes underlying model building as they can directly affect th

https://www.lupop.lu.se/article/growth-mixture-models-case-example-longitudinal-analysis-patient-reported-outcomes-data-captured - 2024-12-31

Preregistration and registered reports

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 19 May 2021 Preregistration and registered reports are two promising open science practices for increasing transparency in the scientific process. In particular, they create transparency around one of the most consequential distinctions in research design: the data analytics decisions made before data collection and post-hoc d

https://www.lupop.lu.se/article/preregistration-and-registered-reports - 2024-12-31

National Bariatric Surgery Registries: an International Comparison

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 20 May 2021 There is limited uniform agreement in variables across national bariatric registries. Further alignment and uniformity in collected variables are required to enable future international collaborations and comparison. Read the paper at https://doi.org/10.1007/s11695-021-05359-0

https://www.lupop.lu.se/article/national-bariatric-surgery-registries-international-comparison - 2024-12-31

Assessing causality in epidemiology: revisiting Bradford Hill to incorporate developments in causal thinking

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 21 May 2021 The nine Bradford Hill (BH) viewpoints (sometimes referred to as criteria) are commonly used to assess causality within epidemiology. However, causal thinking has since developed, with three of the most prominent approaches implicitly or explicitly building on the potential outcomes framework: directed acyclic grap

https://www.lupop.lu.se/article/assessing-causality-epidemiology-revisiting-bradford-hill-incorporate-developments-causal-thinking - 2024-12-31

Are Mendelian randomization investigations immune from bias due to reverse causation?

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 24 May 2021 It has also often been stated that the fixed nature of the genetic code provides complete immunity to bias from reverse causation in Mendelian randomization studies because genetic variants must precede the outcome in time. Here, we demonstrate how reverse causation can lead to bias in Mendelian randomization analy

https://www.lupop.lu.se/article/are-mendelian-randomization-investigations-immune-bias-due-reverse-causation - 2024-12-31

Job opportunity: Associate Professor of Population Studies

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 24 May 2021 Photo: Mark Ledingham At the Department of Archeology, History, Religious Studies and Theology there is a vacancy for a permanent position as associate professor in population studies at the Norwegian Historical Data Centre. The workplace is at UiT in Tromsø. Read more and apply for the position at https://www.jobb

https://www.lupop.lu.se/article/job-opportunity-associate-professor-population-studies - 2024-12-31

Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 25 May 2021 In case-control studies most algorithms allow the controls to be sampled several times, which is not always optimal. If many controls are available and adjustment for several covariates is necessary, matching without replacement might increase statistical efficiency. Comparing similar units when having observationa

https://www.lupop.lu.se/article/fast-and-optimal-algorithm-case-control-matching-using-registry-data-application-antibiotics-use - 2024-12-31

Enhancing trauma registries by integrating traffic records and geospatial analysis to improve bicyclist safety

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 26 May 2021 Photo: Pixabay / Pexels Combining trauma registry data and matched traffic accident records data with GIS analysis identifies additional risk factors for bicyclist injury. Trauma centers should champion efforts to prospectively link public traffic accident data to their trauma registries. Read the paper at https://

https://www.lupop.lu.se/article/enhancing-trauma-registries-integrating-traffic-records-and-geospatial-analysis-improve-bicyclist - 2024-12-31

The Danish National Register of assisted reproductive technology: content and research potentials

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 27 May 2021 Photo: Pixabay / geralt The Danish National Register of assisted reproductive technology (ART) was initially established in 1994. The register comprises complete information on all ART procedures in public and private clinics in Denmark from 2013 and onwards, including baseline information on the cause of infertili

https://www.lupop.lu.se/article/danish-national-register-assisted-reproductive-technology-content-and-research-potentials - 2024-12-31

Models to Assess the Association of a Semiquantitative Exposure With Outcomes

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 28 May 2021 A semiquantitative risk factor has 2 components: any exposure (yes/no) and the quantitative amount of exposure (if exposed). We describe the statistical properties of alternative analyses with such a risk factor using linear, logistic, or Cox proportional hazards models. Read the paper at https://academic.oup.com/a

https://www.lupop.lu.se/article/models-assess-association-semiquantitative-exposure-outcomes - 2024-12-31

When Is a Complete-Case Approach to Missing Data Valid? The Importance of Effect-Measure Modification

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 29 May 2021 When estimating causal effects, careful handling of missing data is needed to avoid bias. Complete-case analysis is commonly used in epidemiologic analyses. Previous work has shown that covariate-stratified effect estimates from complete-case analysis are unbiased when missingness is independent of the outcome cond

https://www.lupop.lu.se/article/when-complete-case-approach-missing-data-valid-importance-effect-measure-modification - 2024-12-31

Probabilistic Quantification of Bias to Combine the Strengths of Population-Based Register Data and Clinical Cohorts—Studying Mortality in Osteoarthritis

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 30 May 2021 We propose combining population-based register data with a nested clinical cohort to correct misclassification and unmeasured confounding through probabilistic quantification of bias. We have illustrated this approach by estimating the association between knee osteoarthritis and mortality. Read the paper at https:/

https://www.lupop.lu.se/article/probabilistic-quantification-bias-combine-strengths-population-based-register-data-and-clinical-1 - 2024-12-31

Infosäk

Published 3 May 2018 A platform for safe handling of data at the medical faculty Infosäk will shortly publish complete information about the project. Meanwhile, you can read more here.

https://www.lupop.lu.se/article/infosak - 2024-12-31

Methodological Issues in Population-Based Studies of Multigenerational Associations

By anna [dot] axmon [at] med [dot] lu [dot] se (Anna Axmon) - published 31 May 2021 Photo: flickr / Mitchell Joyce Laboratory-based animal research has revealed a number of exposures with multigenerational effects—ones that affect the children and grandchildren of those directly exposed. An important task for epidemiology is to investigate these relationships in human populations. Read the paper a

https://www.lupop.lu.se/article/methodological-issues-population-based-studies-multigenerational-associations - 2024-12-31

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 - 2024-12-31

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 - 2024-12-31