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The future of Swedish register-based research

SAVE THE DATE: 10-year symposium of SIMSAM 16th May 2018, ‘The future of Swedish register-based research’ By the end of 2018 the Swedish Initiative for Research on Microdata in the Social And Medical Sciences (SIMSAM), funded by the Swedish Research Council, has been active for 10 years. This will be acknowledged by an open national one-day symposium in Stockholm 16 May reflecting on how the achie

https://www.lupop.lu.se/article/future-swedish-register-based-research - 2025-12-18

Beslut från VR

Idag kl 14 presenteras beslut gällande bidrag för barn och ungdomars psykiska hälsa, NOS-HS workshops, JPIAMR Network Grant on Virtual Research Institute, Internationellt samarbete inom GENDER-NET Plus Co-Fund, Projektbidrag för internationella samarbeten inom antimikrobiell resistens (JPIAMR), Internationella samarbeten inom individanpassad medicin (ERA PerMed) och JPIAMR Network Call on Surveill

https://www.lupop.lu.se/article/beslut-fran-vr-6 - 2025-12-18

Perspectives on pain registries

Registries are one way to provide longitudinal, observational data, giving rise to a range of possibilities in terms of audit and research. They allow examining approaches to management, which would not be feasible by a trial or where there was no trial data (currently or likely ever) available. In this Perspective, we will discuss aspects of their design, analysis, and use in the field of pain. R

https://www.lupop.lu.se/article/perspectives-pain-registries - 2025-12-18

“Translating” All-Cause Mortality Rate Ratios or Hazard Ratios to Age-, Longevity-, and Probability-Based Measures

Epidemiologists commonly use an adjusted hazard ratio or incidence density ratio, or a standardized mortality ratio, to measure a difference in all-cause mortality rates. They seldom translate it into an age-, time-, or probability-based measure that would be easier to communicate and to relate to. Several articles have shown how to translate from a standardized mortality ratio or hazard ratio to

https://www.lupop.lu.se/article/translating-all-cause-mortality-rate-ratios-or-hazard-ratios-age-longevity-and-probability-based - 2025-12-18

TWISTER PLOTS FOR TIME-TO-EVENT STUDIES

Results of randomized trials and observational studies can be difficult to communicate. Results are often presented as risk or survival functions stratified by the treatment or exposure (1, 2). However, a contrast between the stratified risk functions is often of primary interest. Here we propose a “twister” plot to visualize contrasts in risk over the duration of a study. The twister plot is a −9

https://www.lupop.lu.se/article/twister-plots-time-event-studies - 2025-12-18

Constructed Measures and Causal Inference: Towards a New Model of Measurement for Psychosocial Constructs

Psychosocial constructs can only be assessed indirectly, and measures are typically formed by a combination of indicators that are thought to relate to the construct. Reflective and formative measurement models offer different conceptualizations of the relation between the indicators and what is sometimes conceived of as a univariate latent variable supposed to correspond in some way to the constr

https://www.lupop.lu.se/article/constructed-measures-and-causal-inference-towards-new-model-measurement-psychosocial-constructs - 2025-12-18

Mendelian Randomization With Repeated Measures of a Time-varying Exposure

Mendelian randomization (MR) is often used to estimate effects of time-varying exposures on health outcomes using observational data. However, MR studies typically use a single measurement of exposure and apply conventional instrumental variable (IV) methods designed to handle time-fixed exposures. As such, MR effect estimates for time-varying exposures are often biased, and interpretations are un

https://www.lupop.lu.se/article/mendelian-randomization-repeated-measures-time-varying-exposure - 2025-12-18

A comparison of statistical methods to predict the residual lifetime risk

Lifetime risk measures the cumulative risk for developing a disease over one’s lifespan. Modeling the lifetime risk must account for left truncation, the competing risk of death, and inference at a fixed age. In addition, statistical methods to predict the lifetime risk should account for covariate-outcome associations that change with age. In this paper, we review and compare statistical methods

https://www.lupop.lu.se/article/comparison-statistical-methods-predict-residual-lifetime-risk - 2025-12-18

Cohort profile and representativeness of participants in the Diet, Cancer and Health—Next Generations cohort study

The Diet, Cancer and Health—Next Generations (DCH-NG) study is a large population-based cohort study that was established as a resource for transgenerational research. The cohort is an extension of the Diet, Cancer and Health (DCH) cohort. The aim of this paper was to describe the study design and methods and to investigate the representativeness of participants by comparing participants with non-

https://www.lupop.lu.se/article/cohort-profile-and-representativeness-participants-diet-cancer-and-health-next-generations-cohort - 2025-12-18