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Mathematics

D-Index
42
Citations
7075
World Ranking
1795
National Ranking
126

Overview

Dankmar Böhning is affiliated with the University of Southampton in the United Kingdom. Their research primarily intersects the fields of Medicine and Mathematics, with a strong focus on Statistics and Probability, Epidemiology, and Modeling and Simulation. Additional expertise includes Endocrinology, Diabetes and Metabolism, and Infectious Diseases.

The scientist's work covers several key topics, including Census and Population Estimation, Data-Driven Disease Surveillance, Statistical Methods and Bayesian Inference, Statistical Methods in Clinical Trials, COVID-19 epidemiological studies, Meta-analysis and systematic reviews, and studies related to HIV, Drug Use, and Sexual Risk.

Dankmar Böhning has published extensively in various academic venues, contributing fifteen works to Biometrical Journal and three each to bioRxiv (Cold Spring Harbor Laboratory), Journal of Statistical Computation and Simulation, and SSRN Electronic Journal. There are also publications in Biometrics.

Frequent collaborators of Dankmar Böhning include Patarawan Sangnawakij, Antonello Maruotti, Marco Alfò, Heinz Holling, and Arne C. Bathke.

Recent publications by Dankmar Böhning include:

  1. Estimating the undetected infections in the Covid-19 outbreak by harnessing capture-recapture methods (2020, International Journal of Infectious Diseases)
  2. Delayed antibiotic prescribing for respiratory tract infections: individual patient data meta-analysis (2021, BMJ)
  3. Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England (2021, Spatial Statistics)
  4. Fewer COVID-19 Neurological Complications with Dexamethasone and Remdesivir (2022, Annals of Neurology)
  5. Estimating the size of undetected cases of the COVID-19 outbreak in Europe: an upper bound estimator (2020, Epidemiologic Methods)

Best Publications

  • Multinomial logistic regression algorithm

    Dankmar Böhning

  • The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology

    D. Böhning;E. Dietz;P. Schlattmann;L. Mendonça

  • Computer-Assisted Analysis of Mixtures and Applications: Meta-Analysis, Disease Mapping, and Others

    Dankmar Böhning

  • The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family

    Dankmar Böhning;Ekkehart Dietz;Rainer Schaub;Peter Schlattmann

  • Monotonicity of quadratic-approximation algorithms

    Dankmar Böhning;Bruce G. Lindsay

  • Computer-assisted analysis of mixtures (C.A.MAM): statistical algorithms.

    Dankmar Bohning;Peter Schlattmann;Bruce Lindsay

  • On estimation of the Poisson parameter in zero-modified Poisson models

    Ekkehart Dietz;Dankmar Böhning

  • Zero‐Inflated Poisson Models and C.A.MAN: A Tutorial Collection of Evidence

    Dankmar Böhning

  • Some general points in estimating heterogeneity variance with the DerSimonian–Laird estimator

    Dankmar Böhning;Uwe Malzahn;Ekkehart Dietz;Peter Schlattmann

  • Mixture models and disease mapping.

    Peter Schlattmann;Dankmar Böhning

  • The lower bound method in probit regression

    Dankmar Böhning

  • Estimating the undetected infections in the Covid-19 outbreak by harnessing capture-recapture methods.

    Dankmar Böhning;Irene Rocchetti;Antonello Maruotti;Heinz Holling

  • Revisiting youden's index as a useful measure of the misclassification error in meta-analysis of diagnostic studies

    Dankmar Böhning;Walailuck Böhning;Heinz Holling

  • A review of reliable maximum likelihood algorithms for semiparametric mixture models

    Dankmar Böhning

  • Meta‐analysis of clinical trials with rare events

    Dankmar Böhning;Kalliopi Mylona;Alan Kimber

  • A vertex-exchange-method in D-optimal design theory

    D. Böhning

  • Nonparametric estimation of heterogeneity variance for the standardised difference used in meta-analysis

    Uwe Malzahn;Dankmar Bohning;Heinz Holling

  • Estimating the number of drug users in Bangkok 2001: a capture-recapture approach using repeated entries in one list.

    Dankmar Böhning;Busaba Suppawattanabodee;Wilai Kusolvisitkul;Chukiat Viwatwongkasem

  • Estimators in capture–recapture studies with two sources

    Sarah Brittain;Dankmar Böhning

  • Numerical estimation of a probability measure

    Dankmar Böhning

  • Meta-analysis: a unifying meta-likelihood approach framing unobserved heterogeneity, study covariates, publication bias, and study quality.

    D. Böhning

  • Convergence of a fixed point algorithm

    Dankmar Bohning

  • The zero-inflated Poisson model and the decayed, missing and filled teeth index

    Dankmar Bohning;Ekkehart Dietz;Peter Schlattmann;Lisette Mendonga

Frequent Co-Authors

Heinz Holling
Heinz Holling University of Münster
Peter G. M. van der Heijden
Peter G. M. van der Heijden University of Southampton
Matthias Greiner
Matthias Greiner Federal Institute for Risk Assessment
Paul Meredith
Paul Meredith Swansea University
Bruce G. Lindsay
Bruce G. Lindsay Pennsylvania State University
Paul Little
Paul Little University of Southampton
Claire Foster
Claire Foster University of Southampton
Lucy Yardley
Lucy Yardley University of Bristol
Diana Eccles
Diana Eccles University of Southampton
Geoffrey J. McLachlan
Geoffrey J. McLachlan University of Queensland

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