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 the results and therefore their interpretation. Read the paper at https://doi.org/10.1

https://www.lupop.lu.se/article/growth-mixture-models-case-example-longitudinal-analysis-patient-reported-outcomes-data-captured - 2025-09-09

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 decisions made afterwards. Read the paper at https://doi.org/10.1080/00461520.2021.19

https://www.lupop.lu.se/article/preregistration-and-registered-reports - 2025-09-09

Dags att förnya eller teckna personuppgiftsbiträdesavtal – nu finns det mallar Läs mer här.

https://www.lupop.lu.se/article/templates-personuppgiftsbitradesavtal - 2025-09-09

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 - 2025-09-09

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 graphs (DAGs), sufficient-component cause models (SCC models, also referred to as ‘causa

https://www.lupop.lu.se/article/assessing-causality-epidemiology-revisiting-bradford-hill-incorporate-developments-causal-thinking - 2025-09-09

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 analyses. Read the paper at https://link.springer.com/article/10.1007/s10654-021-00726-8

https://www.lupop.lu.se/article/are-mendelian-randomization-investigations-immune-bias-due-reverse-causation - 2025-09-09

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.jobbnorge.no/en/available-jobs/job/206593/associate-profess…

https://www.lupop.lu.se/article/job-opportunity-associate-professor-population-studies - 2025-09-09

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 observational data is of utter importance, since confounding and selection bias is present. Read

https://www.lupop.lu.se/article/fast-and-optimal-algorithm-case-control-matching-using-registry-data-application-antibiotics-use - 2025-09-09

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://europepmc.org/article/med/33443983

https://www.lupop.lu.se/article/enhancing-trauma-registries-integrating-traffic-records-and-geospatial-analysis-improve-bicyclist - 2025-09-09

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 infertility and a number of health-related patient characteristics. Read the paper at https:/

https://www.lupop.lu.se/article/danish-national-register-assisted-reproductive-technology-content-and-research-potentials - 2025-09-09

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/aje/article/189/12/1573/5859287

https://www.lupop.lu.se/article/models-assess-association-semiquantitative-exposure-outcomes - 2025-09-09

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 conditional on the exposure and covariates. Read the paper at https://academic.oup.com/a

https://www.lupop.lu.se/article/when-complete-case-approach-missing-data-valid-importance-effect-measure-modification - 2025-09-09

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://academic.oup.com/aje/article/189/12/1590/5868751

https://www.lupop.lu.se/article/probabilistic-quantification-bias-combine-strengths-population-based-register-data-and-clinical-1 - 2025-09-09

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 - 2025-09-09

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 at https://academic.oup.com/aje/article/189/12/1600/5865443

https://www.lupop.lu.se/article/methodological-issues-population-based-studies-multigenerational-associations - 2025-09-09

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-imputation variance estimator proposed by Rubin (“Rubin’s rules” (RR)) is biased due to incom

https://www.lupop.lu.se/article/multiple-imputation-variance-estimation-studies-missing-or-misclassified-inclusion-criteria - 2025-09-09

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 scale analog, the prior event rate difference (PERD). Read the paper at https://acade

https://www.lupop.lu.se/article/causal-interpretation-rate-change-methods-prior-event-rate-ratio-and-rate-difference - 2025-09-09

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/190/1/17/5874603

https://www.lupop.lu.se/article/what-now-epidemiology-wake-pandemic - 2025-09-09

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 an estimate of the covariate-adjusted exposure-outcome association may be biased. R

https://www.lupop.lu.se/article/reducing-bias-due-exposure-measurement-error-using-disease-risk-scores - 2025-09-09

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 epidemiology to graduate students, in a manner that goes beyond simple provision of knowledge.

https://www.lupop.lu.se/article/simulation-tool-teaching-and-learning-epidemiologic-methods - 2025-09-09