Mesurer la vulnérabilité

IP214 (ex-IP14 & ex-IP15)

Chef de projet: Gilbert Ritschard

L'IP214 est conçu pour offrir aux membres du PRN LIVES des compétences méthodologiques fortes dans la collecte et la gestion des données, ainsi que des outils statistiques de pointe pour l'analyse des processus de vulnérabilité et de résilience au cours de la vie. Le projet réunit les forces des deux IP méthodologiques précédents. Alors que dans la phase 1 (2011-2014) l'IP14 concentrait la plupart de ses efforts sur le développement de méthodes longitudinales pour étudier les parcours de vie, en particulier l'analyse de séquences, dans la phase 2 (2015-2018) nous souhaitons mettre l'accent, en matière d'analyse, sur les vulnérabilités en tant que conditions, risques et processus. Les travaux sur la qualité des données d'enquête menés par l'IP15 au cours de la phase 1 seront étendus à la phase 2, en maintenant l'accent sur les processus de production de données s'agissant de vulnérabilité.

>> Logiciels

Equipe:

Prof. André Berchtold, Prof. Paolo Ghisletta, Prof. Dominique Joye, Prof. Michel Oris, Prof. Caroline Roberts
Dr. Delphine Courvoisier, Dr. Pascal Gaberel, Dr. Brian Kleiner, Dr. Matthias Studer
Henning Atzamba, Sophie Rossillion

Doctorant·e·s:
Dan Orsholits, Serguei Rouzinov

Actualités parues sur l'IP214

Publications

Publications sélectionnées

Studer, M., & Ritschard, G.. (2016). What matters in differences between life trajectories: A comparative review of sequence dissimilarity measures. Journal of the Royal Statistical Society: Series A (Statistics in Society), 179(2), 481-511. doi:10.1111/rssa.12125
PDF icon Article (PDF) (815.51 Ko)
Bürgin, R., & Ritschard, G.. (2015). Tree-based varying coefficient regression for longitudinal ordinal responses. Computational Statistics and Data Analysis, 86, 65-80. doi:10.1016/j.csda.2015.01.003
PDF icon Article (PDF) (626.91 Ko)
Bolano, D., & Berchtold, A.. (2016). General framework and model building in the class of Hidden Mixture Transition Distribution models. Computational Statistics & Data Analysis, 93, 131-145. doi:10.1016/j.csda.2014.09.011
PDF icon Article (PDF) (488.77 Ko)

Autres publications

Berchtold, A., Akre, C., Barrense-Dias, Y., Zimmermann, G., & Suris, J. - C.. (2018). Daily internet time: towards an evidence-based recommendation?. European Journal of Public Health, 1–5. doi:10.1093/eurpub/cky054
PDF icon Article(PDF) (80.75 Ko)
Buergin, R. Arthur, & Ritschard, G.. (2017). Coefficient-wise tree-based varying coefficient regression with vcrpart. Journal of Statistical Software, 80(6), 1–33. doi:10.18637/jss.v080.i06
PDF icon Article(PDF) (752.53 Ko)
Zhelyazkova, N., & Ritschard, G.. (2017). Parental leave within the broader employment trajectory: What can we learn from administrative records?. Equality, Diversity and Inclusion: An International Journal, 36(7), 607–627. doi:10.1108/EDI-05-2017-0109
PDF icon Article(PDF) (390.71 Ko)
Aichele, S., & Ghisletta, P.. (2018). Memory deficits precede increases in depressive symptoms in later adulthood. The Journals of Gerontology: Series B. doi:10.1093/geronb/gbx183
PDF icon Article(PDF) (292.98 Ko)
Ghisletta, P., Renaud, O., Fagot, D., Lecerf, T., & de Ribaupierre, A.. (2018). Age and sex differences in intra-individual variability in a simple reaction time task. International Journal of Behavioral Development, 42(2), 294–299. doi:10.1177/0165025417739179
PDF icon Article(PDF) (168.16 Ko)
Gabadinho, A., & Ritschard, G.. (2016). Analyzing state sequences with probabilistic suffix trees: the PST R package. Journal of Statistical Software, 72(3), 1-39. doi:doi:10.18637/jss.v072.i03
PDF icon Article (PDF) (792.16 Ko)
Berchtold, A. (2016). Test–retest: Agreement or reliability?. Methodological Innovations, 9, 1-7. doi:10.1177/2059799116672875
PDF icon Article (PDF) (579.51 Ko)
Taushanov, Z., & Berchtold, A.. (2017). A direct local search method and its application to a markovian model. Statistics, Optimization & Information Computing, 5(1), 19–34. doi:10.19139/soic.v5i1.253
PDF icon Article(PDF) (174.96 Ko)
Joye, D., Wolf, C., Smith, T., & Fu, Y. -chih. (2016). Survey methodology: challenges and principles. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (p. 3-15). London, UK: SAGE. doi:10.4135/9781473957893.n1
PDF icon Chapter (PDF) (77.96 Ko)
Loosveldt, G., & Joye, D.. (2016). Defining and assessing survey climate. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (p. 67-76). London, UK: SAGE. doi:10.4135/9781473957893.n6
PDF icon Chapter (PDF) (100.47 Ko)
Schneider, S. L. (2016). When translation is not enough: background variables in comparative surveys. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (p. 288-308). London, UK: SAGE. doi:10.4135/9781473957893.n20
PDF icon Chapter (PDF) (1.08 Mo)
Ernst Stähli, M., & Joye, D.. (2016). Incentives as a possible measure to increase response rates. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (p. 425-440). London: SAGE. doi:10.4135/9781473957893.n28
PDF icon Chapter (PDF) (206.35 Ko)
Wolf, C., Schneider, S. L., Behr, D., & Joye, D.. (2016). Harmonizing survey questions between cultures and over time. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (p. 502-524). London, UK: SAGE. doi:10.4135/9781473957893.n33
PDF icon Chapter (PDF) (594.25 Ko)
Roberts, C. (2016). Response styles in surveys: Understanding their causes and mitigating their impact on data quality. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (p. 579-598). London: SAGE. doi:10.4135/9781473957893.n36
PDF icon Chapter (PDF) (100.75 Ko)
Bachmann, L., Gaberel, P., & Modak, M.. (2016). Parentalité: Perspectives critiques (First.). Lausanne, Switzerland: Éditions EESP.
PDF icon Book (PDF) (153.7 Ko)
Adamopoulos, P., Ritschard, G., & Berchtold, A.. (2016). Using dynamic microsimulation to understand professional trajectories of the active Swiss population. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (p. 151-154). Lausanne, Switzerland: NCCR LIVES. Consulté à l'adresse https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 Mo)
Zhelyazkova, N., & Ritschard, G.. (2016). Discovering and explaining patterns of work-family reconciliation in Luxembourg. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (p. 143-147). Lausanne, Switzerland: NCCR LIVES. Consulté à l'adresse https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 Mo)
Taushanov, Z., & Berchtold, A.. (2016). Markovian-based clustering of internet addiction trajectories. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (p. 179-182). Lausanne, Switzerland: NCCR LIVES. Consulté à l'adresse https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Book (PDF) (27.15 Mo)
Bolano, D., Berchtold, A., & Ritschard, G.. (2016). A discussion on hidden Markov models for life course data. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (p. 241-260). Lausanne, Switzerland: NCCR LIVES. Consulté à l'adresse https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (6.47 Mo)
Elzinga, C., & Studer, M.. (2016). Normalization of distance and similarity in sequence analysis. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (p. 445-468). Lausanne, Switzerland: NCCR LIVES. Consulté à l'adresse https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 Mo)
Bolano, D., & Haynes, M.. (2016). Methodological approaches to profiling and modelling disadvantaged employment pathways. An application to employment trajectories in Australia. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (p. 851-862). Lausanne, Switzerland: NCCR-LIVES. Consulté à l'adresse https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 Mo)
Berchtold, A., & Suris, J. - C.. (2017). Imputation of repeatedly observed multinomial variables in longitudinal surveys. Communications in Statistics - Simulation and Computation, 46(4), 3267–3283. doi:10.1080/03610918.2015.1082588
PDF icon Article(PDF) (1.12 Mo)
Suris, J. - C., Akre, C., & Bélanger, R.. (2016). Changes in cannabis and tobacco use trajectories from age 17 to age 23. In Transitions des adolescents et des jeunes adultes en Suisse. Résultats de l'étude longitudinale TREE (Second., p. 252-272). Basel, Switzerland: Seismo. Consulté à l'adresse http://www.seismoverlag.ch/fr/daten/transitionen-im-jugend-und-jungen-erwachsenenalter/books/new/
PDF icon Chapter (PDF) (2.47 Mo)
Oris, M., Roberts, C., Joye, D., & Ernst Stähli, M.. (2016). Surveying human vulnerabilities across the life course: Balancing substantive and methodological challenges. In M. Oris, Roberts, C., Joye, D., & Ernst Stähli, M., Surveying human vulnerabilities across the life course (p. 1-25). New York: Springer. doi:10.1007/978-3-319-24157-9_1
PDF icon Chapter (PDF) (265.58 Ko)
Gaberel, P. (2014). Instaurer des normes de bonne parentalité. Les indicateurs statistiques des risques et du bien-être de l’enfant aux États-Unis. In C. Martin, «Être un bon parent»: Une injonction contemporaine. (p. 53-72). Paris: Presses de l'École des hautes études en santé publique.
Studer, M. (2015). Comment: On the use of globally interdependent multiple sequence analysis. Sociological Methodology, 45(1), 81-88. doi:10.1177/0081175015588095
PDF icon Article (PDF) (180.8 Ko)
Elzinga, C., & Studer, M.. (2015). Spell sequences, state proximities and distance metrics. Sociological Methods & Research, 44(1), 3-47. doi:10.1177/0049124114540707
PDF icon Article (PDF) (724.75 Ko)
Studer, M., & Ritschard, G.. (2014). A comparative review of sequence dissimilarity measures. LIVES Working Papers, 2014(33), 1-47. doi:10.12682/lives.2296-1658.2014.33
PDF icon Article (PDF) (1.21 Mo)
Bürgin, R., & Ritschard, G.. (2014). A decorated parallel coordinate plot for categorical longitudinal data. The American Statistician, 68(2), 98-103. doi:10.1080/00031305.2014.887591
PDF icon Article (PDF) (258.03 Ko)
Dribe, M., Manfredini, M., & Oris, M.. (2014). The roads to reproduction: Comparing life-course trajectories in preindustrial Europe. In C. Lundh & Kurosu, S., Similarity in difference. Marriage in Europe and Asia 1700-1900 (p. 85-116). Boston: MIT Press.
PDF icon Chapter (PDF) (266.97 Ko)
Oris, M., & Ritschard, G.. (2014). Sequence analysis and transition to adulthood: An exploration of the access to reproduction in nineteenth-century East Belgium. In P. Blanchard, Bühlmann, F., & Gauthier, J. - A., Advances in sequence analysis: Theory, method, applications (p. 152-167). New York, Heidelberg, Dordrecht, London: Springer.
PDF icon Chapter (PDF) (1.76 Mo)
Gabadinho, A., & Ritschard, G.. (2013). Searching for typical life trajectories applied to childbirth histories. In R. Levy & Widmer, E., Gendered life courses between individualization and standardization. A European approach applied to Switzerland (p. 287-312). Vienna: LIT Verlag.
McArdle, J. J., & Ritschard, G.. (2013). Contemporary issues in exploratory data mining in the behavioral sciences. Quantitative Methodology Series (p. 496). London & New York: Routledge.
Bürgin, R., & Ritschard, G.. (2013). Rendering the order of life events. LIVES Working Papers, 2013(29), 1-16. doi:10.12682/lives.2296-1658.2013.29
PDF icon Article (PDF) (1.68 Mo)
Ritschard, G., Bürgin, R., & Studer, M.. (2013). Exploratory mining of life event histories. In J. J. McArdle & Ritschard, G., Contemporary issues in exploratory data mining in the behavioral sciences (p. 221-253). London & New York: Routledge.
PDF icon Article (PDF) (605.43 Ko)
Ritschard, G. (2012). Exploring sequential data. (J. - G. Ganascia, Lenca, P., & Petit, J. - M.)Discovery science: 15th international conference: Proceedings. Berlin: Springer.
Bürgin, R., Ritschard, G., & Rousseaux, E.. (2012). Visualisation de séquences d'événements. Revue des Nouvelles Technologies de l'Information, Extraction et gestion des connaissances (RNTI-E), 23, 559-560.
PDF icon Article (PDF) (76.41 Ko)
Gabadinho, A., Ritschard, G., Studer, M., & Müller, N. S.. (2011). Extracting and rendering representative sequences. In A. Fred, Dietz, J. L. G., Liu, K., & Filipe, J., Knowledge Discovery, Knowledge Engineering and Knowledge Management (p. 94-106). Berlin: Springer.
PDF icon Article (PDF) (1.34 Mo)
Studer, M., Ritschard, G., Gabadinho, A., & Müller, N. S.. (2011). Discrepancy Analysis of State Sequences. Sociological Methods & Research, 40(3), 471-510. doi:10.1177/0049124111415372
PDF icon Article (PDF) (1.14 Mo)