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Estimators in capture-recapture studies with two sources

Brittain, Sarah; Böhning, Dankmar - In: Advances in statistical analysis : AStA ; a journal of … 93 (2009) 1, pp. 23-47

Persistent link: https://www.econbiz.de/10003807954

The EM algorithm with gradient function update for discrete mixtures with known (fixed) number of components

Böhning, Dankmar - 2002

Persistent link: https://www.econbiz.de/10004779752

A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only

Böhning, Dankmar; Patilea, Valentin - In: Journal of the American Statistical Association : JASA 103 (2008) 481, pp. 212-221

Persistent link: https://www.econbiz.de/10003676698

Recent developments in life and social science applications of capture-recapture methods

Böhning, Dankmar; Heijden, Peter G. van der - In: Advances in statistical analysis : AStA ; a journal of … 93 (2009) 1, pp. 1-3

Persistent link: https://www.econbiz.de/10003807901

CAMCR: computer-assisted mixture model analysis for capture-recapture count data

Kuhnert, Ronny; Böhning, Dankmar - In: Advances in statistical analysis : AStA ; a journal of … 93 (2009) 1, pp. 61-71

Persistent link: https://www.econbiz.de/10003807964

Estimating the size of undetected cases of the COVID-19 outbreak in Europe: an upper bound estimator

Rocchetti, Irene; Böhning, Dankmar; Holling, Heinz; … - In: Epidemiologic Methods 9 (2020) s1

Abstract Background While the number of detected COVID-19 infections are widely available, an understanding of the extent of undetected cases is urgently needed for an effective tackling of the pandemic. The aim of this work is to estimate the true number of COVID-19 (detected and undetected)...

Persistent link: https://www.econbiz.de/10014590670