The 13th Northern European Stata Conference takes place 12 October 2022 at the Oslo Cancer Cluster Innovation Park. There will be an optional postconference workshop on 13 October.
This conference will provide Stata users the opportunity to exchange ideas, experiences, and information on new applications of Stata. Representatives from StataCorp will attend and host an open-panel discussion, so you can share your questions and feedback directly with Stata developers. Anyone interested in using Stata is welcome. No level of sophistication is assumed for presenters or attendees.
Program
All times are CEST (UTC +2)
09:00–09:05 Welcome, Bjarte Aagnes, Cancer Registry of Norway
09:05–09:30 Application of stpm2 to estimate relative survival for cancer patients in the Nordic countries, Frida Lundberg, Karolinska Institutet
09:30–10:15 Improving fitting and predictions for flexible parametric survival models, Paul Lambert, University of Leicester and Karolinska Institutet
10:15–10:40 Survival by first-line treatment type and timing of progression among follicular lymphoma patients, Caroline Weibull, Karolinska Institutet
10:40–11:00 Break
11:00–11:15 The devil is in the details ... and the data: Tutorial on preparing data for multistate modeling, Enoch Yi-Tung Chen, Karolinska Institutet
11:15–11:40 Establishing upper reference limits for left-censored and contaminated data, Niels Henrik Bruun, Aalborg University Hospital
11:40–11:55 Securing Stata in a secure environment. Data access and logging., Bjarte Aagnes, Cancer Registry of Norway
12:00–01:00 Lunch
01:00–01:25 Quantile regression in Stata: Performance, precision, and power., Morten Wang Fagerland, Oslo University Hospital
01:25–01:50 Visualizations of marginal and conditional quantiles based on weighted mixed-effects models, Nicola Orsini, Karolinska Institutet
01:50–02:50 Econometrics strikes back: GMM and two-way fixed effects, Enrique Pinzon, StataCorp
02:55–03:15 Break
03:15–03:40 Recursive bivariate copula estimation and decomposition of marginal effects, Mustafa Coban, Institute for Employment Research (IAB)
03:40–04:05 Illuminating the factor and dependence structure in large panel models, Jan Ditzen, Free University of Bozen-Bolzano
04:05–04:30 sttex: A new dynamic document command for Stata and LaTeX, Ben Jann, University of Bern
04:30–04:55 Estimating adjusted absolute risks in a cross-sectional register-based study with logit and margins, Anna Johansson, Karolinska Institutet and Cancer Registry of Norway
04:55–05:30 Open panel discussion with Stata developers
Complete program including abstracts: https://www.stata.com/meeting/northern-european22
Post-conference short course:
Thursday 13 October 2022
Multilevel Mixed Effects Survival Analysis
Michael J. Crowther, PhD
Biostatistician, Karolinska Institutet
Honorary Senior Lecturer, University of Bristol
Founder and CEO, Red Door Analytics
Target audience:
email: [email protected]
This conference will provide Stata users the opportunity to exchange ideas, experiences, and information on new applications of Stata. Representatives from StataCorp will attend and host an open-panel discussion, so you can share your questions and feedback directly with Stata developers. Anyone interested in using Stata is welcome. No level of sophistication is assumed for presenters or attendees.
Program
All times are CEST (UTC +2)
09:00–09:05 Welcome, Bjarte Aagnes, Cancer Registry of Norway
09:05–09:30 Application of stpm2 to estimate relative survival for cancer patients in the Nordic countries, Frida Lundberg, Karolinska Institutet
09:30–10:15 Improving fitting and predictions for flexible parametric survival models, Paul Lambert, University of Leicester and Karolinska Institutet
10:15–10:40 Survival by first-line treatment type and timing of progression among follicular lymphoma patients, Caroline Weibull, Karolinska Institutet
10:40–11:00 Break
11:00–11:15 The devil is in the details ... and the data: Tutorial on preparing data for multistate modeling, Enoch Yi-Tung Chen, Karolinska Institutet
11:15–11:40 Establishing upper reference limits for left-censored and contaminated data, Niels Henrik Bruun, Aalborg University Hospital
11:40–11:55 Securing Stata in a secure environment. Data access and logging., Bjarte Aagnes, Cancer Registry of Norway
12:00–01:00 Lunch
01:00–01:25 Quantile regression in Stata: Performance, precision, and power., Morten Wang Fagerland, Oslo University Hospital
01:25–01:50 Visualizations of marginal and conditional quantiles based on weighted mixed-effects models, Nicola Orsini, Karolinska Institutet
01:50–02:50 Econometrics strikes back: GMM and two-way fixed effects, Enrique Pinzon, StataCorp
02:55–03:15 Break
03:15–03:40 Recursive bivariate copula estimation and decomposition of marginal effects, Mustafa Coban, Institute for Employment Research (IAB)
03:40–04:05 Illuminating the factor and dependence structure in large panel models, Jan Ditzen, Free University of Bozen-Bolzano
04:05–04:30 sttex: A new dynamic document command for Stata and LaTeX, Ben Jann, University of Bern
04:30–04:55 Estimating adjusted absolute risks in a cross-sectional register-based study with logit and margins, Anna Johansson, Karolinska Institutet and Cancer Registry of Norway
04:55–05:30 Open panel discussion with Stata developers
Complete program including abstracts: https://www.stata.com/meeting/northern-european22
Post-conference short course:
Thursday 13 October 2022
Multilevel Mixed Effects Survival Analysis
Michael J. Crowther, PhD
Biostatistician, Karolinska Institutet
Honorary Senior Lecturer, University of Bristol
Founder and CEO, Red Door Analytics
Target audience:
Aims:
Statisticians and researchers with a good working knowledge of the principles and practice of survival analysis, including modelling of survival data.
Provide an overview of multilevel mixed effects survival analysis including recurrent event analysis and joint recurrent-terminal event modelsweb: https://www.kreftregisteret.no/survival-2022 (page available from 1 December)
Introduce and illustrate tools in Stata for conducting multilevel survival analysis, including both modelling and prediction, with a focus on calculating clinically useful predictions.
email: [email protected]
