Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Willi Sauerbrei"'
Autor:
Georg Heinze, Mark Baillie, Lara Lusa, Willi Sauerbrei, Carsten Oliver Schmidt, Frank E. Harrell, Marianne Huebner, on behalf of TG2 and TG3 of the STRATOS initiative
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors. With a data set at hand, a regression model can be easily fit wit
Externí odkaz:
https://doaj.org/article/35d89449aa4d48d6b4d27c06c91e3ec0
Autor:
Jörg Rahnenführer, Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne-Laure Boulesteix, Eugenia Migliavacca, Harald Binder, Stefan Michiels, Willi Sauerbrei, Lisa McShane, for topic group “High-dimensional data” (TG9) of the STRATOS initiative
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-54 (2023)
Abstract Background In high-dimensional data (HDD) settings, the number of variables associated with each observation is very large. Prominent examples of HDD in biomedical research include omics data with a large number of variables such as many mea
Externí odkaz:
https://doaj.org/article/4341909edf664733b9e0a8f2c0eedbe3
Publikováno v:
Diagnostic and Prognostic Research, Vol 7, Iss 1, Pp 1-17 (2023)
Abstract Background The multivariable fractional polynomial (MFP) approach combines variable selection using backward elimination with a function selection procedure (FSP) for fractional polynomial (FP) functions. It is a relatively simple approach w
Externí odkaz:
https://doaj.org/article/95dfafb53054422485a7efb4799a79fe
Publikováno v:
BMC Medicine, Vol 20, Iss 1, Pp 1-19 (2022)
Abstract Background Factors contributing to the lack of understanding of research studies include poor reporting practices, such as selective reporting of statistically significant findings or insufficient methodological details. Systematic reviews h
Externí odkaz:
https://doaj.org/article/2a9543e56fd8456cb5230fa1fb719f3f
Autor:
Willi Sauerbrei, Patrick Royston
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background In clinical trials, there is considerable interest in investigating whether a treatment effect is similar in all patients, or that one or more prognostic variables indicate a differential response to treatment. To examine this, a
Externí odkaz:
https://doaj.org/article/7114fbaa1e304cd481fd5c97553d0980
Autor:
Carsten Oliver Schmidt, Stephan Struckmann, Cornelia Enzenbach, Achim Reineke, Jürgen Stausberg, Stefan Damerow, Marianne Huebner, Börge Schmidt, Willi Sauerbrei, Adrian Richter
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to fac
Externí odkaz:
https://doaj.org/article/b76e6474393344feba5fb311f1a19a4f
Autor:
Willi Sauerbrei, Aris Perperoglou, Matthias Schmid, Michal Abrahamowicz, Heiko Becher, Harald Binder, Daniela Dunkler, Frank E. Harrell, Patrick Royston, Georg Heinze, for TG2 of the STRATOS initiative
Publikováno v:
Diagnostic and Prognostic Research, Vol 4, Iss 1, Pp 1-18 (2020)
Abstract Background How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc ‘traditional’ approaches to variable selection have been in use for at least 50 years.
Externí odkaz:
https://doaj.org/article/9bf00c37f28b4962a2fdb38d579d030a
Autor:
Edwin Kipruto, Willi Sauerbrei
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0271240 (2022)
In low-dimensional data and within the framework of a classical linear regression model, we intend to compare variable selection methods and investigate the role of shrinkage of regression estimates in a simulation study. Our primary aim is to build
Externí odkaz:
https://doaj.org/article/470f4939eb644e58b4c6df56d7508a94
Autor:
Christine Wallisch, Paul Bach, Lorena Hafermann, Nadja Klein, Willi Sauerbrei, Ewout W. Steyerberg, Georg Heinze, Geraldine Rauch, on behalf of topic group 2 of the STRATOS initiative
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
Although regression models play a central role in the analysis of medical research projects, there still exist many misconceptions on various aspects of modeling leading to faulty analyses. Indeed, the rapidly developing statistical methodology and i
Externí odkaz:
https://doaj.org/article/898a1601814d4e3cbe71f3d43c6dd941
Publikováno v:
BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-15 (2019)
Abstract Background Omics data can be very informative in survival analysis and may improve the prognostic ability of classical models based on clinical risk factors for various diseases, for example breast cancer. Recent research has focused on inte
Externí odkaz:
https://doaj.org/article/0728cee7970b4b37962ce371f576b630