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Models to Assess the Association of a Semiquantitative Exposure With Outcomes

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 - 2026-01-11

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

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

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 - 2026-01-11

“Death receptors” – new markers for type 2 diabetes and cardiovascular disease

Researchers at Lund University in Sweden have found that the presence of death receptors in the blood can be used to directly measure the risk of developing cardiovascular diseases and type 2 diabetes. “We see that people with known risk factors such as high blood sugar and high blood fats also have heightened death receptor levels”, says Professor Jan Nilsson who led the study. Death receptors ar

https://www.ludc.lu.se/article/death-receptors-new-markers-type-2-diabetes-and-cardiovascular-disease - 2026-01-11

Nordic conference in Malmö about Precision Medicine in the future

December 4-5, nordic researchers gathered in Malmö to discuss future challenges in precision medicine, a research field where diagnosis and treatment are based on the individual´s genetic and biological conditions. Focus is on our common and increasing diseases diabetes, cardiovascular disease, cancer and psychiatric diagnosis. "The goal of the meeting is to bring together mordic stakeholders in p

https://www.ludc.lu.se/article/nordic-conference-malmo-about-precision-medicine-future - 2026-01-11

Paradigm shift in the diagnosis of diabetes

A completely new classification of diabetes which also predicts the risk of serious complications and provides treatment suggestions. We are now seeing the first results of ANDIS – a study covering all newly diagnosed diabetics in southern Sweden — published in The Lancet Diabetes & Endocrinology. The major difference from today’s classification is that type 2 diabetes actually consists of several

https://www.ludc.lu.se/article/paradigm-shift-diagnosis-diabetes - 2026-01-11