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Din sökning på "*" gav 551247 sökträffar

Sektionen Ekonomi lanserar tre nya kurser!

Kursen ”Ny som ekonom – en grundkurs med bredd” ersätter de grundkurser i ekonomihantering vi tidigare hållit. De andra två kurserna är fördjupningsutbildningar med förkunskapskrav. På Kompetensportalen kan du läsa mer och anmäla dig.Ny som ekonom - en kurs med breddKursen ger en grundläggande orientering kring vanligt förekommande ekonomiadministrativa uppgifter vid Lunds universitet och består a

https://www.ekonomiwebben.lu.se/artikel/sektionen-ekonomi-lanserar-tre-nya-kurser - 2025-12-13

Lediga platser på projektutbildning

Det finns några lediga platser kvar på vår populära kurs Administrativt stöd till forskningsprojekt.Kursen tar ett helhetsgrepp kring administrativ hantering av bidrags- och uppdragsprojekt vid Lunds universitet, med fokus på ekonomifrågor. Från ansökan till slutredovisning – vad kan jag som ekonom göra för att förenkla och effektivisera administrationen samt stötta forskare vid min institution?Ku

https://www.ekonomiwebben.lu.se/artikel/lediga-platser-pa-projektutbildning-0 - 2025-12-13

Verksamhetsrapport Budget 2020 och flerårsprognos 2021-2022

Nu är verksamhetsrapport Budget 2020 och flerårsrapport 2021-2022 i EOS öppen.I samband med budget 2020 och flerårsprognos 2021-2022 ska verksamhetsrapportering för budget på institutionsnivå, samt för flerårsprognos på fakultetsnivå göras via uppgift i EOS.Anvisningar finns i verksamhetsrapporten och Guide till hur verksamhetsrapporten skrivs finns här på Ekonomiwebben:EOS - Guide: Verksamhetsrap

https://www.ekonomiwebben.lu.se/artikel/verksamhetsrapport-budget-2020-och-flerarsprognos-2021-2022 - 2025-12-13

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 - 2025-12-13

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 - 2025-12-13

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 - 2025-12-13

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 - 2025-12-13

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 - 2025-12-13

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 - 2025-12-13