Lectures and seminars Statistical Methods Week

07-06-2022 9:00 am to
10-06-2022 4:30 pm Add to iCal
Campus Solna Franklinsalen, Tomtebodavägen 6, Karolinska Institutet Solna

The strategic research area in epidemiology and biostatistics and the statistical methods node of the national network for register-based research invite all interested in statistical methods for the analysis of data to attend the seminars.

The goal is for researchers in all disciplines to interact, discuss new statistical methods, and discover the wealth of methods that are being developed. The tutorials are intended for biomedical researchers or practitioners with research in or using mathematics, biostatistics, and computational statistics.

Please go to the program page for more information on the schedule, abstracts and how to sign up for the tutorials. 

The goal is for researchers in all disciplines to interact, discuss new statistical methods, and discover the wealth of methods that are being developed. The tutorials are intended for biomedical researchers or practitioners with research in or using mathematics, biostatistics, and computational statistics.

The talks will be held in Franklinsalen, Tomtebodavägen 6, Karolinska Institutet Solna. No registration is necessary for the seminars, first come first served!

The locations of tutorials will be announced with acceptance into the session. Application and acceptance are required for the tutorials. Deadline: May 27. 

The program

Tuesday June 7

9:30-10:30  Dr. Jason Liang - "Prognostic accuracy measures for survival models"

10:45-11:45 Dr. Brice Ozenne -  "Toward a unified framework for analyzing repeated measurements with a continuous outcome"

13:30-16:30 Tutorial: "Prognostic accuracy measures for survival with Covid-19 example" in R with Dr. Liang. 

13:30-16:30 Tutorial: "Analysis of repeated measurements with mixed models using the R package LMMstar" with Dr. Ozenne and Dr. Forman 

Wednesday June 8

9:30-10:30  Professor Hongwei Zhao - "An improved survival estimator for censored medical costs using kernel methods"

10:45-11:45 Professor Ken Rice - "Fixing fixed-effects meta-analysis: some theoretical and practical advances"

13:30-15:30 Tutorial: "Analysis of medical costs with censored data" In Stata with Professor Zhao. 

13:30-16:30 Tutorial: "Introduction to meta-analysis" in R with Professor Rice. 

Thursday June 9

9:30-10:30 Professor Andrea Rotnitzky - "Towards deriving graphical rules for efficient estimation in causal graphical models"

10:45-11:45 Professor Karla Diaz-Ordaz  - "Causal machine learning for heterogeneous treatment effects"

13:30-16:30 Tutorial: "Introduction to causal machine learning" in R with Professor Diaz-Ordaz. 

Friday June 10

9:30-10:30  Dr. Tim Morris - "Nonparametric bootstrapping for standard errors and confidence intervals: silver bullet or fool’s gold?"

10:45-11:45 Dr. Michael Sachs - "Recent advances in regression modeling of censored time-to-event outcomes using pseudo-observations"

13:30-16:30 Tutorial: "Nonparametric bootstrap" in Stata with Dr. Morris. 

13:30-16:30 Tutorial: "Using the eventglm R package for regression modeling of censored time-to-event outcomes" with Dr. Sachs. 

Contact

Erin Gabriel Principal researcher