Dankmar Böhning at University of Southampton - Research Interests, Publications & Academic Profile

Dankmar Böhning

University of Southampton

United Kingdom

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Research Interests

Biostatistics

90%

Statistics

70%

Cohort Study

40%

Statistical Analysis

30%

Medical Statistics

20%

Replication Studies

20%

Statistical Modelling

20%

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Articles14

Deriving a zero-truncated modelling methodology to analyse capture–recapture data from self-reported social networks

Article Link

Year:

2024

One‐Inflation and Zero‐Truncation Count Data Modelling Revisited With a View on Horvitz–Thompson Estimation of Population Size

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Year:

2024

On repeated diagnostic testing in screening for a medical condition: How often should the diagnostic test be repeated?

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Year:

2024

Nonparametric estimation of the random effects distribution for the risk or rate ratio in rare events meta‐analysis with the arm‐based and contrast‐based approaches

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Year:

2024

Modeling COVID‐19 contact‐tracing using the ratio regression capture–recapture approach

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Year:

2023

Statistical inference on mixed one- and two-armed studies in meta-analysis without study-specific variance

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Year:

2023

Combined statistical decision limits based on two GH-2000 scores for the detection of growth hormone misuse

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Year:

2022

Confidence interval estimation for the Mantel–Haenszel estimator of the risk ratio and risk difference in rare event meta-analysis with emphasis on the bootstrap

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Year:

2022

The combined effect of alcohol and body mass index on risk of chronic liver disease: A systematic review and meta‐analysis of cohort studies

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Year:

2021

Investigating heterogeneity in meta-analysis of studies with rare events

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Year:

2021

Population size estimation based upon zero-truncated, one-inflated and sparse count data

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Year:

2021

Comparison of normal distribution–based and nonparametric decision limits on the GH‐2000 score for detecting growth hormone misuse (doping) in sport

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Year:

2021

On the exact null-distribution of a test for homogeneity of the risk ratio in meta-analysis of studies with rare events

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Year:

2021

General flation models for count data

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Year:

2021

Collaborators6

Herwig Friedl

Associate Professor

Graz University of Technology

AUSTRIA

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Yang Han

Senior Lecturer / Associate Professor in Statistics

The University of Manchester

UNITED KINGDOM

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David Cowan

UNITED KINGDOM

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Ryan Buchanan

University of Southampton

UNITED KINGDOM

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Heinz Holling

GERMANY

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Kate Glyn-Owen

University of Southampton

UNITED KINGDOM

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