Survival analysis is a subfield of statistics where the goal is to analyze and model data
where the outcome is the time until an event of interest occurs. One of the main challenges …

Prediction error curves are increasingly used to assess and compare predictions in survival
analysis. This article surveys the R package pec which provides a set of functions for …

Alle im vorigen Kapitel beschriebenen Problemstellungen besitzen eine wesentliche
Gemeinsamkeit: Eigenschaften einer Zielvariablen y sollen in Abhängigkeit von Kovariablen …

Background Semaglutide, a glucagon-like peptide-1 receptor agonist, has been shown to
reduce the risk of adverse cardiovascular events in patients with diabetes. Whether …

Dieses Buch bietet eine praxisorientierte Einführung in die methodischen Grundlagen
klinischer Studien in der wissenschaftlichen Forschung und der pharmazeutischen Industrie …

The integrated nested Laplace approximation (INLA) is a recent computational method that
can fit Bayesian models in a fraction of the time required by typical Markov chain Monte …

Im Juni 2019 ist Prof. Lothar Sachs verstorben, ein Wegbereiter und Mentor für die
Anwendung statistischer Methoden in zahlreichen Gebieten. Er wurde 1929 in Berlin …

History Markov chain Monte Carlo (MCMC) methods, in which plausible values for unknown
quantities are simulated from their appropriate probability distribution, have revolutionised …

This book serves as an introductory guide for students and analysts who need to work with
survival time data. The minimum prerequisites are basic applied courses in linear regression …

Abstract flexsurv is an R package for fully-parametric modeling of survival data. Any
parametric time-to-event distribution may be fitted if the user supplies a probability density or …