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SUMMARY:Statistical thinking 	ST-LE-2026-07
DTSTART:20260504T100000Z
DTEND:20260504T130000Z
DTSTAMP:20260513T090100Z
UID:indico-event-103@events.gfbio.org
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Iris Pigeot (Leibniz-Institut für Präventionsforsc
 hung und Epidemiologie - BIPS)\n\n*** This lecture had to be rescheduled. 
 Please check the date in the event details. ***MotivationData science appr
 oaches are based on statistical/mathematical methods as well as computer s
 cience competences. In this context\, it is crucial to understand the basi
 c principles of statistical methods. This will help to adequately apply st
 atistical methods and to produce reliable statistical results.Learning con
 tentsThis course provides an introduction into statistical basics and conc
 epts relevant for data science applications. After a brief presentation of
  the categories of statistics (descriptive\, predictive\, confirmatory) an
 d their general ideas\, selected basic methods will be explained and illus
 trated by practical examples: concept of probability\, parameter estimatio
 n\, confidence intervals and testing of hypotheses.Learning outcomesA basi
 c understanding of the major statistical principles.Prior knowledge---Furt
 her readingFahrmeir\, Heumann\, Künstler\, Pigeot\, Tutz (2016). Statisti
 k – Der Weg zur Datenanalyse\, 8. Auflage\, Springer-Verlag\, Berlin\, H
 eidelberg.Fahrmeir\, Künstler\, Pigeot\, Tutz\, Caputo\, Lang (2009). Arb
 eitsbuch Statistik\, 5. Auflage\, Springer-Verlag\, Berlin\, Heidelberg.Fr
 eedman\, Pisani\, Purves (1998). Statistics\, 3rd edition\, W.W. Norton an
 d Company\, New York.Spiegelhalter (2019). The Art of Statistics: Learning
  from Data\, Pelican\, London.\n\nhttps://events.gfbio.org/event/103/
LOCATION:Zoom
URL:https://events.gfbio.org/event/103/
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