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Träfflista för sökning "WFRF:(Held Leonhard) "

Sökning: WFRF:(Held Leonhard)

  • Resultat 1-3 av 3
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1.
  • Benjamin, Daniel J., et al. (författare)
  • Redefine statistical significance
  • 2018
  • Ingår i: Nature Human Behaviour. - : Nature Research (part of Springer Nature). - 2397-3374. ; 2:1, s. 6-10
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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2.
  • Drude, Natascha Ingrid, et al. (författare)
  • Planning preclinical confirmatory multicenter trials to strengthen translation from basic to clinical research : a multi-stakeholder workshop report
  • 2022
  • Ingår i: Translational Medicine Communications. - : Springer Nature. - 2396-832X. ; 7:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Clinical translation from bench to bedside often remains challenging even despite promising preclinical evidence. Among many drivers like biological complexity or poorly understood disease pathology, preclinical evidence often lacks desired robustness. Reasons include low sample sizes, selective reporting, publication bias, and consequently inflated effect sizes. In this context, there is growing consensus that confirmatory multicenter studies -by weeding out false positives- represent an important step in strengthening and generating preclinical evidence before moving on to clinical research. However, there is little guidance on what such a preclinical confirmatory study entails and when it should be conducted in the research trajectory. To close this gap, we organized a workshop to bring together statisticians, clinicians, preclinical scientists, and meta-researcher to discuss and develop recommendations that are solution-oriented and feasible for practitioners. Herein, we summarize and review current approaches and outline strategies that provide decision-critical guidance on when to start and subsequently how to plan a confirmatory study. We define a set of minimum criteria and strategies to strengthen validity before engaging in a confirmatory preclinical trial, including sample size considerations that take the inherent uncertainty of initial (exploratory) studies into account. Beyond this specific guidance, we highlight knowledge gaps that require further research and discuss the role of confirmatory studies in translational biomedical research. In conclusion, this workshop report highlights the need for close interaction and open and honest debate between statisticians, preclinical scientists, meta-researchers (that conduct research on research), and clinicians already at an early stage of a given preclinical research trajectory.
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3.
  • Meyer, Sebastian, et al. (författare)
  • Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance
  • 2017
  • Ingår i: Journal of Statistical Software. - : Foundation for Open Access Statistic. - 1548-7660. ; 77:11
  • Tidskriftsartikel (refereegranskat)abstract
    • The availability of geocoded health data and the inherent temporal structure of communicable diseases have led to an increased interest in statistical models and software for spatio-temporal data with epidemic features. The open source R package surveillance can handle various levels of aggregation at which infective events have been recorded: individual-level time-stamped geo-referenced data (case reports) in either continuous space or discrete space, as well as counts aggregated by period and region. For each of these data types, the surveillance package implements tools for visualization, likelihoood inference and simulation from recently developed statistical regression frameworks capturing endemic and epidemic dynamics. Altogether, this paper is a guide to the spatio-temporal modeling of epidemic phenomena, exemplified by analyses of public health surveillance data on measles and invasive meningococcal disease.
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  • Resultat 1-3 av 3

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