User profiles for Leonhard Held
 | Leonhard HeldProfessor of Biostatistics, University of Zurich Verified email at uzh.ch Cited by 21878 |
On p-Values and Bayes Factors
L Held, M Ott - Annual Review of Statistics and Its Application, 2018 - annualreviews.org
The p-value quantifies the discrepancy between the data and a null hypothesis of interest,
usually the assumption of no difference or no effect. A Bayesian approach allows the …
usually the assumption of no difference or no effect. A Bayesian approach allows the …
Redefine statistical significance
The lack of reproducibility of scientific studies has caused growing concern over the credibility
of claims of new discoveries based on ‘statistically significant’findings. There has been …
of claims of new discoveries based on ‘statistically significant’findings. There has been …
Towards joint disease mapping
This article discusses and extends statistical models to jointly analyse the spatial variation
of rates of several diseases with common risk factors. We start with a review of methods for …
of rates of several diseases with common risk factors. We start with a review of methods for …
Predictive model assessment for count data
We discuss tools for the evaluation of probabilistic forecasts and the critique of statistical
models for count data. Our proposals include a nonrandomized version of the probability …
models for count data. Our proposals include a nonrandomized version of the probability …
[BOOK][B] Gaussian Markov random fields: theory and applications
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics -
a very active area of research in which few up-to-date reference works are available. This is …
a very active area of research in which few up-to-date reference works are available. This is …
Increasing mortality burden among adults with complex congenital heart disease
… Leonhard Held: Statistical analysis and interpretation of the data, revising the manuscript
critically for important intellectual content.Joan Ivanov: Conception and design of the study, …
critically for important intellectual content.Joan Ivanov: Conception and design of the study, …
Bayesian auxiliary variable models for binary and multinomial regression
In this paper we discuss auxiliary variable approaches to Bayesian binary and multinomial
regression. These approaches are ideally suited to automated Markov chain Monte Carlo …
regression. These approaches are ideally suited to automated Markov chain Monte Carlo …
How the Maximal Evidence of P-Values Against Point Null Hypotheses Depends on Sample Size
L Held, M Ott - The American Statistician, 2016 - Taylor & Francis
Minimum Bayes factors are commonly used to transform two-sided p-values to lower bounds
on the posterior probability of the null hypothesis. Several proposals exist in the literature, …
on the posterior probability of the null hypothesis. Several proposals exist in the literature, …
Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds
We discuss methods for the evaluation of probabilistic predictions of vector-valued quantities,
that can take the form of a discrete forecast ensemble or a density forecast. In particular, …
that can take the form of a discrete forecast ensemble or a density forecast. In particular, …
Applied statistical inference
L Held, D Sabanés Bové - Springer, Berlin Heidelberg, doi, 2014 - Springer
Statistical inference is the science of analysing and interpreting data. It provides essential
tools for processing information, summarizing the amount of knowledge gained and …
tools for processing information, summarizing the amount of knowledge gained and …