Suchergebnisse - "Biometrical journal"

Variable selection – A review and recommendations for the practicing statistician von Heinze, Georg, Wallisch, Christine, Dunkler, Daniela

“… Statistical models support medical research by facilitating individualized outcome prognostication conditional on independent variables or by estimating …”
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Missing data: A statistical framework for practice von Carpenter, James R., Smuk, Melanie

“… Missing data are ubiquitous in medical research, yet there is still uncertainty over when restricting to the complete records is likely to be acceptable, when …”
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Stability of clinical prediction models developed using statistical or machine learning methods von Riley, Richard D., Collins, Gary S.

“… Clinical prediction models estimate an individual's risk of a particular health outcome. A developed model is a consequence of the development dataset and …”
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Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets von Daniel, Rhian, Zhang, Jingjing, Farewell, Daniel

“… We revisit the well‐known but often misunderstood issue of (non)collapsibility of effect measures in regression models for binary and time‐to‐event outcomes …”
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Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations von Riebler, Andrea, Held, Leonhard

“… The projection of age‐stratified cancer incidence and mortality rates is of great interest due to demographic changes, but also therapeutical and diagnostic …”
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Meta‐analysis of the difference of medians von McGrath, Sean, Sohn, Hojoon, Steele, Russell, Benedetti, Andrea

“… We consider the problem of meta‐analyzing two‐group studies that report the median of the outcome. Often, these studies are excluded from meta‐analysis because …”
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Network meta‐analysis of multicomponent interventions von Rücker, Gerta, Petropoulou, Maria, Schwarzer, Guido

“… In network meta‐analysis (NMA), treatments can be complex interventions, for example, some treatments may be combinations of others or of common components. In …”
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Phases of methodological research in biostatistics—Building the evidence base for new methods von Heinze, Georg, Boulesteix, Anne‐Laure, Kammer, Michael, Morris, Tim P., White, Ian R.

“… Although new biostatistical methods are published at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific …”
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When should meta‐analysis avoid making hidden normality assumptions? von Jackson, Dan, White, Ian R.

“… Meta‐analysis is a widely used statistical technique. The simplicity of the calculations required when performing conventional meta‐analyses belies the …”
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A coefficient of determination (R2) for generalized linear mixed models von Piepho, Hans‐Peter

“… Extensions of linear models are very commonly used in the analysis of biological data. Whereas goodness of fit measures such as the coefficient of …”
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Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study von Graf, Ricarda, Zeldovich, Marina, Friedrich, Sarah

“… In psychology, linear discriminant analysis (LDA) is the method of choice for two‐group classification tasks based on questionnaire data. In this study, we …”
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Power gains by using external information in clinical trials are typically not possible when requiring strict type I error control von Kopp‐Schneider, Annette, Calderazzo, Silvia, Wiesenfarth, Manuel

“… In the era of precision medicine, novel designs are developed to deal with flexible clinical trials that incorporate many treatment strategies for multiple …”
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Functional Data Analysis: An Introduction and Recent Developments von Gertheiss, Jan, Rügamer, David, Liew, Bernard X. W., Greven, Sonja

“… ABSTRACT Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions on higher dimensional domains …”
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Dynamic predictions with time‐dependent covariates in survival analysis using joint modeling and landmarking von Rizopoulos, Dimitris, Molenberghs, Geert, Lesaffre, Emmanuel M.E.H.

“… A key question in clinical practice is accurate prediction of patient prognosis. To this end, nowadays, physicians have at their disposal a variety of tests …”
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An adjusted coefficient of determination (R2) for generalized linear mixed models in one go von Piepho, Hans‐Peter

“… The coefficient of determination (R2) is a common measure of goodness of fit for linear models. Various proposals have been made for extension of this measure …”
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Nowcasting the COVID‐19 pandemic in Bavaria von Günther, Felix, Bender, Andreas, Katz, Katharina, Küchenhoff, Helmut, Höhle, Michael

“… To assess the current dynamics of an epidemic, it is central to collect information on the daily number of newly diseased cases. This is especially important …”
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Simultaneous Inference in General Parametric Models von Hothorn, Torsten, Bretz, Frank, Westfall, Peter

“… Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting …”
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Meta‐analysis of two studies in the presence of heterogeneity with applications in rare diseases von Friede, Tim, Röver, Christian, Wandel, Simon, Neuenschwander, Beat

“… Random‐effects meta‐analyses are used to combine evidence of treatment effects from multiple studies. Since treatment effects may vary across trials due to …”
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On the logic of collapsibility for causal effect measures von Didelez, Vanessa, Stensrud, Mats Julius

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Parsimonious mixtures of multivariate contaminated normal distributions von Punzo, Antonio, McNicholas, Paul D.

“… A mixture of multivariate contaminated normal distributions is developed for model‐based clustering. In addition to the parameters of the classical normal …”
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