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DTSTAMP:20250705T034452Z
DESCRIPTION:Anne-Laure Boulesteix\n\nProfessor\n	Ludwig Maximilian Universit
 y (LMU) of Munich\n\nWHEN: Wednesday\, January 10\, 2024\, from 3:30 to 4:
 30 p.m.\n\nWHERE: Hybrid | 2001 9IÖÆ×÷³§Ãâ·Ñ College\, Rm 1140 | Zoom \n\nNote: 
 Dr. Anne-Laure Boulesteix will present from Munich\n\nAbstract\n\nStatisti
 cians are often keen to analyze the statistical aspects of the so-called “
 replication crisis in science“. They condemn fishing expeditions and publi
 cation bias across empirical scientific fields applying statistical method
 s\, such as health sciences. But what about good practice issues in their 
 own - methodological - research\, i.e. research considering statistical (o
 r more generally\, computational) methods as research objects? When develo
 ping and evaluating new statistical methods and data analysis tools\, do s
 tatisticians and data scientists adhere to the good practice principles th
 ey promote in fields which apply statistics and data science? I argue that
  methodological researchers should make substantial efforts to address wha
 t may be called the replication crisis in the context of methodological re
 search in statistics and data science\, in particular by trying to avoid b
 ias in comparison studies based on simulated or real data. I discuss topic
 s such as publication bias\, cherry-picking\, and the design and necessity
  of neutral comparison studies\, and review recent positive developments t
 owards more reliable empirical evidence in the context of methodological b
 iostatistical research.\n\nSpeaker bio\n\nAnne-Laure Boulesteix obtained a
  diploma in engineering from the Ecole Centrale Paris\, a diploma in mathe
 matics from the University of Stuttgart (2001) and a PhD in statistics (20
 05) from the Ludwig Maximilian University (LMU) of Munich. After a postdoc
  phase in medical statistics\, she joined the Medical School of the Univer
 sity of Munich as a junior professor (2009) and professor (2012). She is w
 orking at the interface between biostatistics\, machine learning and medic
 ine with a particular focus on metascience and evaluation of methods. She 
 is a steering committee member of the STRATOS initiative\, founding member
  of the LMU Open Science Center and president of the German Region of the 
 International Biometric Society.\n
DTSTART:20240110T203000Z
DTEND:20240110T213000Z
SUMMARY:Towards reliable empirical evidence in methodological biostatistica
 l research: recent developments and remaining challenges
URL:/epi-biostat-occh/channels/event/towards-reliable-
 empirical-evidence-methodological-biostatistical-research-recent-developme
 nts-and-353620
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