Match!
Christoph Kurz
Ludwig Maximilian University of Munich
StatisticsEconometricsHealth careDiabetes mellitusMedicine
21Publications
4H-index
92Citations
What is this?
Publications 23
Newest
OBJECTIVE: Because it is impossible to know which statistical learning algorithm performs best on a prediction task, it is common to use stacking methods to ensemble individual learners into a more powerful single learner. Stacking algorithms are usually based on linear models, which may run into problems, especially when predictions are highly correlated. In this study, we develop a greedy algorithm for model stacking that overcomes this issue while still being very fast and easy to interpret. ...
Source
Causal effect estimates for the association of obesity with health care costs can be biased by reversed causation and omitted variables. In this study, we use genetic variants as instrumental varia...
Source
Source
Source
#2Christoph KurzH-Index: 4
Last. Werner MaierH-Index: 14
view all 4 authors...
ABSTRACT Objectives: This study aimed to assess the impact of using different weighting procedures for the German Index of Multiple Deprivation (GIMD) investigating their link to mortality rates. Design and setting: In addition to the original (normative) weighting of the GIMD domains, four alternative weighting approaches were applied: equal weighting, linear regression, maximization algorithm and factor analysis. Correlation analyses to quantify the association between the differently weighted...
Source
#1Michael LaxyH-Index: 10
#2Verena Maria Schöning (LMU: Ludwig Maximilian University of Munich)
Last. Katharina KähmH-Index: 1
view all 9 authors...
Background and Objective Accurate prediction of relevant outcomes is important for targeting therapies and to support health economic evaluations of healthcare interventions in patients with diabetes. The United Kingdom Prospective Diabetes Study (UKPDS) risk equations are some of the most frequently used risk equations. This study aims to analyze the calibration and discrimination of the updated UKPDS risk equations as implemented in the UKPDS Outcomes Model 2 (UKPDS-OM2) for predicting cardiov...
Source
#1Christian SchmidtH-Index: 3
#2Christin HeidemannH-Index: 25
Last. T ZieseH-Index: 8
view all 28 authors...
Source
#1Christian SchmidtH-Index: 3
#2Christin HeidemannH-Index: 25
Last. T ZieseH-Index: 8
view all 28 authors...
1 CitationsSource
#1Michael P. Menden (AstraZeneca)H-Index: 8
#2Dennis Wang (University of Sheffield)H-Index: 13
Last. Manuela ZucknickH-Index: 1
view all 354 authors...
The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate c...
13 CitationsSource
Background The increasing prevalence of obesity is a major public health problem in many countries. Built environment factors are known to be associated with obesity, which is an important risk factor for type 2 diabetes. Online geocoding services could be used to identify regions with a high concentration of obesogenic factors. The aim of our study was to examine the feasibility of integrating information from online geocoding services for the assessment of obesogenic environments.
Source
123