{"id":8185,"date":"2026-08-31T10:41:47","date_gmt":"2026-08-31T08:41:47","guid":{"rendered":"https:\/\/northwest-alliance.de\/in-search-of-reliable-conclusions\/"},"modified":"2026-08-31T16:27:00","modified_gmt":"2026-08-31T14:27:00","slug":"in-search-of-reliable-conclusions","status":"publish","type":"post","link":"https:\/\/northwest-alliance.de\/en\/in-search-of-reliable-conclusions\/","title":{"rendered":"In search of reliable conclusions"},"content":{"rendered":"

New statistical methods that can also be applied beyond the field of mathematics \u2013 for example in psychology, medicine or computer science \u2013 are the focus of a three-day joint event organised by the Centre for Statistics in Oldenburg and Bremen (ZeSOB). Registrations are open through 2 September.<\/strong><\/p>\n

The ZeSOB \u201cMethods Week\u201d will take place from 9 September through 11 September, this time at the University of Bremen campus. Students, PhD candidates, researchers and anyone else interested in new mathematical methods are invited to attend \u2013 particularly those from the Universities of Oldenburg and Bremen. The event is funded by the \u201cNoW \u2013 Northwest Alliance Research Fund\u201d.<\/p>\n

The event topic describes something that many researchers would surely like to have when exploring scientific questions, as would people in general who have to make decisions over a longer period of time: \u201cSafe anytime-valid inference (SAVI)\u201d.<\/p>\n

There have been significant developments in this field at an international level in recent years, particularly in the Netherlands, North America and England, but there are also contributions from Bremen, says Bremen-based statistician Prof. Dr. Thorsten Dickhaus. As evidenced by an increasing number of workshops, publications and the first job vacancies, the SAVI method is becoming increasingly established, adds the Oldenburg-based statistician Prof. Dr. Peter Ruckdeschel. \u201cThe aim of this method is to control and keep the error rate low in the long term when dealing with many decisions over an extended period.\u201d<\/p>\n

One exampe is the monitoring and treatment of an unconscious patient in hospital based on the monitoring of various parameters such as blood pressure, heart rate and blood values. \u201cIf one were satisfied with an error rate of five per cent in this context and were to check the patient\u2019s readings 20 times, the errors could, in the worst-case scenario, accumulate \u2013 which, of course, must be avoided,\u201d says Ruckdeschel.<\/p>\n

In this area, statistics have long offered \u201ca very limited toolkit\u201d, according to Ruckdeschel; now, SAVI as a method enables consistent, long-term error control. It also helps, for example, banks that wish to avoid liquidity problems at all times.<\/p>\n

The speaker at the event is the Dutch mathematician Dr. Alexander Ly, who completed his PhD at the University of Amsterdam in 2018 and is now a researcher at the Centrum Wiskunde & Informatica in Amsterdam. According to host Dickhaus, Ly is characterised by a particular rigour in deriving statistical methods, \u201ccombined in a unique way with a very keen eye for efficient implementations and real-world applications, such as those used in manufacturing\u201d. When it comes to implementation and application, Ly is regarded as \u201cone of the world\u2019s leading experts\u201d.<\/p>\n

Ruckdeschel emphasises that the three-day ZeSOB event is traditionally designed not only to convey the subject matter but also to offer a \u201chands-on\u201d opportunity to present and discuss one\u2019s own mathematical or scientific problems. A few spots \u2013 including some for online participation, if required \u2013 are still available; registration is open via the ZeSOB website <\/a>through 2 September.<\/p>\n

\u201cMethods Week\u201d: Safe, anytime-valid inference<\/strong>
\n9 to 11 September 2026
\nUniversity of Bremen, Multi-purpose Tower Block, 1st floor, Room MZH 1470
\nFree for students
\n\u20ac 65 (in-person) or \u20ac 25 (online) for researchers and university staff
\nProgram and details (PDF)<\/a><\/p>\n

About ZeSOB<\/h2>\n

The Centre for Statistics in Oldenburg and Bremen was founded in 2015 by members of the Departments of Mathematics at both universities. It offers statistical consultancy to researchers, the regional business community and society, as well as continuing professional development opportunities in statistics, such as regular academic colloquia and seminars. The members of ZeSOB also deliver and coordinate postgraduate training in stochastics and statistics at the two universities of the Northwest Alliance.<\/p>\n

As a cluster of expertise in applied and theoretical statistics in the North-West region, ZeSOB brings together statistical know-how, develops it further and raises its profile. The focus is on applications and the resulting research into statistical methodology. Traditionally, the University of Oldenburg has specialised in financial and actuarial mathematics, whilst the University of Bremen has focused on applications in biology and medicine. These are complemented by further fields of research, such as environmental sciences in Oldenburg and materials sciences in Bremen.<\/p>\n

NWA-funded projects<\/h2>\n

Under the \u201cAdvanced\u201d funding line of the Northwest Alliance Research Fund, the statisticians affiliated with ZeSOB \u2013 Prof. Dr Thorsten Dickhaus and Prof. Dr Werner Brannath (both from Bremen), Prof. Dr Peter Ruckdeschel and Prof. Dr Marcus Christiansen (both from Oldenburg) have secured a total of four research projects to interlink their research even more closely and drive it forward. The SAVI method \u2013 together with the so-called E-values, which also play a role in the Methodology Week \u2013 is a key unifying element in this context.<\/p>\n

Editor: Deike Stolz (redaktion@uol.de)<\/em><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>

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New statistical methods, which have applications far beyond the field of mathematics, are the focus of a three-day joint event organised by the Centre for Statistics in Oldenburg and Bremen. 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