Browsing by author "Marschner, Ian C."
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Case fatality risk estimated from routinely collected disease surveillance data: application to COVID–19
Marschner, Ian C.Published 2021Case fatality risk (CFR) is the probability of death among cases of a disease. A crude CFR estimate is the ratio of the number deaths to the number of cases of the disease. This estimate is biased, however, particularly ...Article -
Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data
Marschner, Ian C.Published 2021BackgroundMortality is a key component of the natural history of COVID-19 infection. Surveillance data on COVID-19 deaths and case diagnoses are widely available in the public domain, but they are not used to model time ...Article -
Stable computational methods for additive binomial models with application to adjusted risk differences
Donoghoe, Mark W; Marschner, Ian C.Published 2014-12-01Risk difference is an important measure of effect size in biostatistics, for both randomised and observational studies. The natural way to adjust risk differences for potential confounders is to use an additive binomial ...Open AccessArticle
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