Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Variable selection–a review and recommendations for the practicing statistician
Statistical models support medical research by facilitating individualized outcome
prognostication conditional on independent variables or by estimating effects of risk factors …
prognostication conditional on independent variables or by estimating effects of risk factors …
Five myths about variable selection
Multivariable regression models are often used in transplantation research to identify or to
confirm baseline variables which have an independent association, causally or only …
confirm baseline variables which have an independent association, causally or only …
A solution to the problem of separation in logistic regression
G Heinze, M Schemper - Statistics in medicine, 2002 - Wiley Online Library
The phenomenon of separation or monotone likelihood is observed in the fitting process of a
logistic model if the likelihood converges while at least one parameter estimate diverges …
logistic model if the likelihood converges while at least one parameter estimate diverges …
Whole blood viscosity, plasma viscosity and erythrocyte aggregation in nine mammalian species: reference values and comparison of data
…, R Plasenzotti, KJ Korak, G Heinze - Experimental …, 2003 - Wiley Online Library
In this study species‐specific values for whole blood viscosity (WBV), plasma viscosity (PV)
and erythrocyte aggregation (EA) were determined in a total of 360 animals. We used 40 …
and erythrocyte aggregation (EA) were determined in a total of 360 animals. We used 40 …
Risk assessment of recurrence in patients with unprovoked deep vein thrombosis or pulmonary embolism: the Vienna prediction model
S Eichinger, G Heinze, LM Jandeck, PA Kyrle - Circulation, 2010 - Am Heart Assoc
Background—Predicting the risk of recurrent venous thromboembolism (VTE) in an
individual patient is often not feasible. We aimed to develop a simple risk assessment model …
individual patient is often not feasible. We aimed to develop a simple risk assessment model …
Overweight, obesity, and the risk of recurrent venous thromboembolism
…, M Hirschl, E Minar, O Wagner, G Heinze… - Archives of internal …, 2008 - jamanetwork.com
Background Excess body weight is a risk factor for a first venous thromboembolism. The
impact of excess body weight on risk of recurrent venous thrombosis is uncertain. Methods …
impact of excess body weight on risk of recurrent venous thrombosis is uncertain. Methods …
Stopped light and image storage by electromagnetically induced transparency up to the regime of one minute
G Heinze, C Hubrich, T Halfmann - Physical review letters, 2013 - APS
The maximal storage duration is an important benchmark for memories. In quantized media,
storage times are typically limited due to stochastic interactions with the environment. Also …
storage times are typically limited due to stochastic interactions with the environment. Also …
A comparative investigation of methods for logistic regression with separated or nearly separated data
G Heinze - Statistics in medicine, 2006 - Wiley Online Library
In logistic regression analysis of small or sparse data sets, results obtained by classical
maximum likelihood methods cannot be generally trusted. In such analyses it may even …
maximum likelihood methods cannot be generally trusted. In such analyses it may even …
An overview of the objectives of and the approaches to propensity score analyses
The assessment of treatment effects from observational studies may be biased with patients
not randomly allocated to the experimental or control group. One way to overcome this …
not randomly allocated to the experimental or control group. One way to overcome this …