StatisticAlps 2024, 10th Edition: REGRESSION MODELING STRATEGIES

StatisticAlps 2024, 10th Edition: REGRESSION MODELING STRATEGIES

Strategies for good statistical practice, developing accurate predictive models that validate, choosing between statistical models and machine learning, introduction to Bayesian regression modeling, and complete R examples

Description

Statistic Alps is a residential training course on advanced statistical issues of interest in clinical research. It is traditionally held in Ponte di Legno, a place in the Alps with beautiful surroundings. The course has reached the 10th edition and this year will be in a Summer format.

The general aim of 2024 edition is to provide methods for estimating the shape of the relationship between predictors and response checking in a suitable way the assumptions and avoiding overfitting. Methods for data reduction will be introduced to deal with the common case where the number of potential predictors is large in comparison with the number of observations.

Methods of model validation (bootstrap and cross–validation) will be covered, as will auxiliary topics such as modeling interaction surfaces, efficiently utilizing partial covariable data by using multiple imputation, variable selection, overly influential observations, collinearity, and shrinkage.

The methods covered will apply to almost any regression model, including ordinary least squares, longitudinal models, logistic regression models, ordinal regression, quantile regression, longitudinal data analysis, and survival models. Statistical models will be contrasted with machine learning.

The course mainly refers to the book “Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis” Springer Series in Statistics, Frank E. Harrell, Jr., Springer International Publishing, 2015.

INSTRUCTORS

Frank E Harrell Jr, Department of Biostatistics, School of Medicine Vanderbilt University and Drew Levy, Medical Evidence Generation, BioMarin, Inc.

Program Coordinators

Maria Grazia Valsecchi and Laura Antolini B4 Center of Bioinformatics, Biostatistics and Bioimaging - School of Medicine and Surgery, University of Milano-Bicocca

Location

Ponte di Legno (BS, Italy) Hotel Mirella **** Via Roma 21

Application Deadline

21th June 2024

Prerequisites

Basic knowledge of regression models

Organizing Department

• SCHOOL OF MEDICINE AND SURGERY

Requested documents to be uploaded in the application form

Letter of the supervisor (only for PhD students).

Airports

To reach Bergamo railway station

Free shuttle

From Bergamo railway station to Ponte di Legno and back (bus costs already included in the fee) there will be:

• A pick-up shuttle bus leaving on Sunday 1 September at 6 p.m. from Bergamo railway station and arriving to Hotel Mirella at about 8 p.m.
• A drop-off shuttle bus leaving on Friday 6 September at 8.30 a.m. from Hotel Mirella to Bergamo railway station and Bergamo Orio al Serio airport.

For further information, Contact:

[email protected]