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X-WR-CALNAME:QICSS - Quebec Inter-University Centre For Social Statistics
X-ORIGINAL-URL:https://ciqss.org/en/
X-WR-CALDESC:Events for QICSS - Quebec Inter-University Centre For Social Statistics
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260511T090000
DTEND;TZID=UTC:20260512T160000
DTSTAMP:20260509T194847
CREATED:20250227T153537Z
LAST-MODIFIED:20260420T200322Z
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SUMMARY:Reproducibility in research - Guaranteeing the transparency and credibility of your work
DESCRIPTION:Bilingual\, in person training. This intensive course explores the fundamental principles of reproducibility\, a pillar of open science that ensures the transparency and credibility of scientific research. You’ll discover best practices for making your work reproducible\, from data management and code documentation to version control and dissemination of results. \nPrerequisites: Previous knowledge of at least one statistical software package (STATA\, R\, Python\, SPSS or SAS). Participants should bring their laptops with statistical software installed. \nCourse outline – 2025 version. (An updated course outline will be posted later over the winter) \n— \nMobility grants \nUp to five $500 CDN scholarships are available to students from outside Montreal who must travel to attend the course\, thanks to funding from the Alfred P. Sloan Foundation at Cornell University. \nSubmit your application by clicking on the following link (on the Cornell website) \nApplication deadline: April 10\, 2026. \n**Bursaries will be paid out to selected candidates once the course has been completed.
URL:https://ciqss.org/en/event/research-reproducibility-ensuring-the-transparency-and-credibility-of-your-work/
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260519T090000
DTEND;TZID=UTC:20260521T120000
DTSTAMP:20260509T194847
CREATED:20251114T015854Z
LAST-MODIFIED:20260420T200322Z
UID:10000188-1779181200-1779364800@ciqss.org
SUMMARY:Introduction to risk and duration models (in French)
DESCRIPTION:Training offered as part of the ‘Modèles de risque et durée’ course at Université de Montréal students wishing to obtain the credits associated with DMO 6405\, please register on the usual platform. \nFace-to-face training. The term “event history analysis” refers to a method of analyzing prospective and retrospective longitudinal data to study phenomena that can be represented as sequences of events\, or as processes leading to events (changes of state). This introductory course will provide you with the foundations needed to apply risk and duration models in your social science analyses. \nPrerequisites: Basic knowledge of STATA and completion of an introductory statistics course. \n*** For those who would like to register and have no prior knowledge of STATA\, QICSS offers two training courses: \n\nIntroduction to STATA  (April 22 and 23)\nAdvanced STATA programming applied to the analysis of massive\, longitudinal administrative databases (May 4)
URL:https://ciqss.org/en/event/risk-and-duration-models-module-i-introduction/
CATEGORIES:Training
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