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Doctoral student in epidemiological methods / applied medical statistics

The doctoral project is a project in epidemiological methods / applied medical statistics in the field of infectious diseases. The overall aim of the project is to investigate socioeconomic and demographic gradients in the risk of severe infectious diseases through epidemiological studies, with a special focus on sepsis and covid-19, to study direct and indirect effects and long-term effects after

https://www.lupop.lu.se/article/doctoral-student-epidemiological-methods-applied-medical-statistics - 2025-12-21

Comparison of the performances of survival analysis regression models for analysis of conception modes and risk of type-1 diabetes among 1985–2015 Swedish birth cohort

The goal is to examine the risk of conception mode-type-1 diabetes using different survival analysis modelling approaches and examine if there are differentials in the risk of type-1 diabetes between children from fresh and frozen-thawed embryo transfers. We aimed to compare the performances and fitness of different survival analysis regression models with the Cox proportional hazard (CPH) model u

https://www.lupop.lu.se/article/comparison-performances-survival-analysis-regression-models-analysis-conception-modes-and-risk-type - 2025-12-21

Risk of bladder cancer by disease severity in relation to metabolic factors and smoking

New population study from Lund University Risk of bladder cancer by disease severity in relation to metabolic factors and smoking; a prospective pooled cohort study of 800,000 men and womenPrevious studies on metabolic factors and bladder cancer (BC) risk have shown inconsistent results and have commonly not investigated associations separately by sex, smoking, and tumor invasiveness. Among 811 63

https://www.lupop.lu.se/article/risk-bladder-cancer-disease-severity-relation-metabolic-factors-and-smoking - 2025-12-21

Can synthetic controls improve causal inference in interrupted time series evaluations of public health interventions?

Advances in synthetic control methods bring new opportunities to conduct rigorous research in evaluating public health interventions. However, incorporating synthetic controls in interrupted time series studies may not always nullify important threats to validity nor improve causal inference. Read the paper at https://academic.oup.com/ije/article/49/6/2010/5917161

https://www.lupop.lu.se/article/can-synthetic-controls-improve-causal-inference-interrupted-time-series-evaluations-public-health - 2025-12-21

Reflection on modern methods: Statistics education beyond ‘significance’: novel plain English interpretations to deepen understanding of statistics and to steer away from misinterpretations

Concerns have been expressed over standards of statistical interpretation. Results with P <0.05 are often referred to as ‘significant’ which, in plain English, implies important. This leads some people directly into the misconception that this provides proof that associations are clinically relevant. Read the paper at https://academic.oup.com/ije/article/49/6/2083/5876177

https://www.lupop.lu.se/article/reflection-modern-methods-statistics-education-beyond-significance-novel-plain-english - 2025-12-21

Reflection on modern methods: demystifying robust standard errors for epidemiologists

Standard errors are usually calculated based on assumptions underpinning the statistical model used in the estimation. However, there are situations in which some assumptions of the statistical model including the variance or covariance of the outcome across observations are violated, which leads to biased standard errors. Read the paper at https://academic.oup.com/ije/article/50/1/346/6044447

https://www.lupop.lu.se/article/reflection-modern-methods-demystifying-robust-standard-errors-epidemiologists - 2025-12-21

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

Directed acyclic graphs (DAGs) are an increasingly popular approach for identifying confounding variables that require conditioning when estimating causal effects. This review examined the use of DAGs in applied health research to inform recommendations for improving their transparency and utility in future research. Read the paper at https://academic.oup.com/ije/article/50/2/620/6012812

https://www.lupop.lu.se/article/use-directed-acyclic-graphs-dags-identify-confounders-applied-health-research-review-and - 2025-12-21

Reflection on modern methods: good practices for applied statistical learning in epidemiology

Statistical learning methods beyond generalized linear models, such as shrinkage methods or kernel smoothing methods, are being increasingly implemented in public health research and epidemiology because they can perform better in instances with complex or high-dimensional data—settings in which traditional statistical methods fail. Read the paper at https://academic.oup.com/ije/article/50/2/685/6

https://www.lupop.lu.se/article/reflection-modern-methods-good-practices-applied-statistical-learning-epidemiology - 2025-12-21

The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables

The network will add value to participating cohorts by increasing statistical power and exposure heterogeneity, as well as facilitating cross-cohort comparisons, cross-validation and replication. Our aim is to motivate other cohorts to join the network and encourage the use of the EU Child Cohort Network by the wider research community. Read the paper at https://link.springer.com/article/10.1007%2

https://www.lupop.lu.se/article/eu-child-cohort-networks-core-data-establishing-set-findable-accessible-interoperable-and-re-usable - 2025-12-21

Humsamverkan

Nytt stöd för mer inkluderande forskningsfinansiering Den 27 april lanserade forskningsfinansiärerna Formas, Forte, Vinnova och Energimyndigheten ett nytt, webbaserat processtöd för att nå ut bättre till sökande från en mångfald av discipliner och sektorer och även för att stärka samverkan mellan forskning och det omgivande samhället.Pressmeddelandet finns här och själva sidan på humsamverkan.se.

https://www.lupop.lu.se/article/humsamverkan - 2025-12-21

Barriers and enablers to routine register data collection for newborns and mothers

Health workers invest major time recording register data for maternal and newborn core health indicators. Improving data quality requires standardised register designs streamlined to capture only necessary data elements. Consistent implementation processes are also needed. Read the paper at https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s1288…

https://www.lupop.lu.se/article/barriers-and-enablers-routine-register-data-collection-newborns-and-mothers - 2025-12-21

Mendelian randomisation for mediation analysis: current methods and challenges for implementation

Mediation analysis seeks to explain the pathway(s) through which an exposure affects an outcome. Traditional, non-instrumental variable methods for mediation analysis experience a number of methodological difficulties, including bias due to confounding between an exposure, mediator and outcome and measurement error. Mendelian randomisation (MR) can be used to improve causal inference for mediation

https://www.lupop.lu.se/article/mendelian-randomisation-mediation-analysis-current-methods-and-challenges-implementation - 2025-12-21