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

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 - 2025-12-15

Methodological Issues in Population-Based Studies of Multigenerational Associations

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 - 2025-12-15

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

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 incompatibility between imputation

https://www.lupop.lu.se/article/multiple-imputation-variance-estimation-studies-missing-or-misclassified-inclusion-criteria - 2025-12-15

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

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://academic.oup.com/aje/article/190/1/

https://www.lupop.lu.se/article/causal-interpretation-rate-change-methods-prior-event-rate-ratio-and-rate-difference - 2025-12-15

Reducing Bias Due to Exposure Measurement Error Using Disease Risk Scores

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 - 2025-12-15

Simulation as a Tool for Teaching and Learning Epidemiologic Methods

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. Read the paper at ht

https://www.lupop.lu.se/article/simulation-tool-teaching-and-learning-epidemiologic-methods - 2025-12-15

Factorial Mendelian randomization: using genetic variants to assess interactions

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 the paper at https://academic.oup.com/ije/article/49/4/1147/5542600?rss=1

https://www.lupop.lu.se/article/factorial-mendelian-randomization-using-genetic-variants-assess-interactions - 2025-12-15

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

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 paper at https://academic.oup.com/ije/article/49/5/1509/5913108

https://www.lupop.lu.se/article/bias-factor-maximum-bias-and-e-value-insight-and-extended-applications - 2025-12-15

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

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 - 2025-12-15

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

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 LUSEM (CED, www.ed.lu.se). Read more and apply he

https://www.lupop.lu.se/article/phd-position-economic-history-neighborhood-effects-over-life-course - 2025-12-15

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

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.com/ije/article/49/5/1702/5827680

https://www.lupop.lu.se/article/reflection-modern-methods-planned-missing-data-designs-epidemiological-research - 2025-12-15

Reflection on modern methods: cause of death decomposition of cohort survival comparisons

This study extends TCAL by disentangling causes of death contributions. The strength of the approach is that it allows identification of mortality differences in cohorts with members still alive, as well as identification of which ages and causes of death contribute to mortality differentials between populations. Read the paper at https://academic.oup.com/ije/article/49/5/1712/5721433

https://www.lupop.lu.se/article/reflection-modern-methods-cause-death-decomposition-cohort-survival-comparisons - 2025-12-15

Kompost-Guidad visning

En kompost är som en mångmiljonstad som sjuder av liv och aktivitet! Men hur får man egentligen den att fungera? Kleopatra införde redan på sin tid dödsstraff för utförsel av kompostmaskar.. Följ med botanisten Julia Borg och trädgårdsteknikern Katarina Löthman-Kaliff på en tur i Botaniska trädgården och få kunskap och inspiration till din egen mångmiljonstad! 3 november kl 12:15-13:00 Är du över

https://www.botan.lu.se/artikel/kompost-guidad-visning - 2025-12-15

Utnämns till hedersdoktor tillsammans med finska presidenten

CASE-professorn Susanne Iwarsson får sin andra titel som hedersdoktor, samtidigt som finska presidenten Stubb. Iwarsson utnämns som hedersdoktor vid Faculty of Sport and Health Sciences, Jyväskylä universitet som ligger i landskapet Mellersta Finland. Hon hedras för "sin banbrytande forskning om samspelet mellan åldrande människors fungerande förmåga och miljöegenskaper".– Jag är så hedrad och sto

https://www.case.lu.se/artikel/utnamns-till-hedersdoktor-tillsammans-med-finska-presidenten - 2025-12-15

Nya insikter om hur samverkan förstås och planeras

Förra året gjorde CASE-forskare en analys av samverkan med omgivande samhälle på uppdrag av Forte. Nu har analysen presenterats och godkänts av myndigheten. Bakom rapporten (Dnr. 2024-01551) står CASE-forskarna Sara Hultqvist, Afsaneh Taei, Susanne Iwarsson och Oskar Jonsson, som ledde arbetet.Vad överraskade er mest?– Trots att Forte i den aktuella utlysningen inte ställde krav på samverkansplane

https://www.case.lu.se/artikel/nya-insikter-om-hur-samverkan-forstas-och-planeras - 2025-12-15