Daniela Dunkler
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View article: Evaluating variable selection methods for multivariable regression models: A simulation study protocol
Evaluating variable selection methods for multivariable regression models: A simulation study protocol Open
Researchers often perform data-driven variable selection when modeling the associations between an outcome and multiple independent variables in regression analysis. Variable selection may improve the interpretability, parsimony and/or pre…
View article: Gravity-Dependent Modulation of Downbeat Nystagmus and Subjective Visual Vertical in the Roll Plane
Gravity-Dependent Modulation of Downbeat Nystagmus and Subjective Visual Vertical in the Roll Plane Open
Downbeat nystagmus (DBN) is the most common form of acquired central vestibular nystagmus. Gravity perception in patients with DBN has previously been investigated by means of subjective visual straight ahead (SVA) and subjective visual ve…
View article: Causal Model Building in the Context of Cardiac Rehabilitation: A Systematic Review
Causal Model Building in the Context of Cardiac Rehabilitation: A Systematic Review Open
Randomization is an effective design option to prevent bias from confounding in the evaluation of the causal effect of interventions on outcomes. However, in some cases, randomization is not possible, making subsequent adjustment for confo…
View article: The value of intraoperative parathyroid hormone monitoring in patients with primary hyperparathyroidism and varying baseline parathyroid hormone levels
The value of intraoperative parathyroid hormone monitoring in patients with primary hyperparathyroidism and varying baseline parathyroid hormone levels Open
Background When applying intraoperative parathyroid hormone monitoring (IOPTH) to patients with primary hyperparathyroidism (PHPT), there are established criteria predicting biochemical cure in patients with basal parathyroid hormone (PTH)…
View article: Primary Hyperparathyroidism and Intraoperative Parathyroid Hormone Monitoring: Application of a Modified Interpretation in Patients With “Parathyroid Hormone Spikes”
Primary Hyperparathyroidism and Intraoperative Parathyroid Hormone Monitoring: Application of a Modified Interpretation in Patients With “Parathyroid Hormone Spikes” Open
Using the VV as a baseline in patients with intraoperative PTH spikes may prove to be an alternative and therefore can be recommended. However, if the VV is higher than the preexcision value, it should not be applied.
View article: The roles of predictors in cardiovascular risk models - a question of modeling culture?
The roles of predictors in cardiovascular risk models - a question of modeling culture? Open
Background While machine learning (ML) algorithms may predict cardiovascular outcomes more accurately than statistical models, their result is usually not representable by a transparent formula. Hence, it is often unclear how specific valu…
View article: Regression with Highly Correlated Predictors: Variable Omission Is Not the Solution
Regression with Highly Correlated Predictors: Variable Omission Is Not the Solution Open
Regression models have been in use for decades to explore and quantify the association between a dependent response and several independent variables in environmental sciences, epidemiology and public health. However, researchers often enc…
View article: Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling
Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling Open
Statistical models are often fitted to obtain a concise description of the association of an outcome variable with some covariates. Even if background knowledge is available to guide preselection of covariates, stepwise variable selection …
View article: Issue Information
Issue Information Open
fi eld of transplantation.Clinical and experimental studies, as well as editorials,
View article: Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study
Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study Open
Variable selection for regression models plays a key role in the analysis of biomedical data. However, inference after selection is not covered by classical statistical frequentist theory which assumes a fixed set of covariates in the mode…
View article: State of the art in selection of variables and functional forms in multivariable analysis—outstanding issues
State of the art in selection of variables and functional forms in multivariable analysis—outstanding issues Open
Background How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc ‘traditional’ approaches to variable selection have been in use for at least 50 years. S…
View article: Predicting donor, recipient and graft survival in living donor kidney transplantation to inform pretransplant counselling: the donor and recipient linked iPREDICTLIVING tool – a retrospective study
Predicting donor, recipient and graft survival in living donor kidney transplantation to inform pretransplant counselling: the donor and recipient linked iPREDICTLIVING tool – a retrospective study Open
Although separate prediction models for donors and recipients were previously published, we identified a need to predict outcomes of donor/recipient simultaneously, as they are clearly not independent of each other. We used characteristics…
View article: State of the art in selection of variables and functional forms in multivariable analysis—outstanding issues
State of the art in selection of variables and functional forms in multivariable analysis—outstanding issues Open
Background How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc ‘traditional’ approaches to variable selection have been in use for at least 50 years. S…
View article: Analysis of Perioperative Platelet Indices and Their Prognostic Value in Head and Neck Cancer Patients Treated with Surgery and Postoperative Radiotherapy: A Retrospective Cohort Study
Analysis of Perioperative Platelet Indices and Their Prognostic Value in Head and Neck Cancer Patients Treated with Surgery and Postoperative Radiotherapy: A Retrospective Cohort Study Open
Objectives: Activated platelets might play an important role in tumor progression. Mean platelet volume (MPV) has been used as a surrogate marker for platelet activation, and therefore its value as a marker of tumor prognosis has attracted…
View article: To test or to estimate? <i>P</i> ‐values versus effect sizes
To test or to estimate? <i>P</i> ‐values versus effect sizes Open
Most research in transplant medicine includes statistical analysis of observed data. Too often authors solely rely on P-values derived by statistical tests to answer their research questions. A P-value smaller than 0.05 is typically used t…
View article: A non-randomized trial of conversion from ciclosporin and tacrolimus to tacrolimus MR4 in stable long-term kidney transplant recipients: Graft function and influences of ABCB1 genotypes
A non-randomized trial of conversion from ciclosporin and tacrolimus to tacrolimus MR4 in stable long-term kidney transplant recipients: Graft function and influences of ABCB1 genotypes Open
PEP Study: Ethics committee N° 393/2004, EudraCT 2004-004209-98. PEP-X Study: Ethics committee amendment application N° 154/01/2008. ClinicalTrials.gov NCT03751332.
View article: State-of-the-art in selection of variables and functional forms in\n multivariable analysis -- outstanding issues
State-of-the-art in selection of variables and functional forms in\n multivariable analysis -- outstanding issues Open
How to select variables and identify functional forms for continuous\nvariables is a key concern when creating a multivariable model. Ad hoc\n'traditional' approaches to variable selection have been in use for at least 50\nyears. Similarly…
View article: Variable selection – A review and recommendations for the practicing statistician
Variable selection – A review and recommendations for the practicing statistician Open
Statistical models support medical research by facilitating individualized outcome prognostication conditional on independent variables or by estimating effects of risk factors adjusted for covariates. Theory of statistical models is well‐…
View article: Weighted Cox Regression Using the <i>R</i> Package <b>coxphw</b>
Weighted Cox Regression Using the <i>R</i> Package <b>coxphw</b> Open
Cox's regression model for the analysis of survival data relies on the proportional hazards assumption. However, this assumption is often violated in practice and as a consequence the average relative risk may be under- or overestimated. W…
View article: Global, Parameterwise and Joint Shrinkage Factor Estimation
Global, Parameterwise and Joint Shrinkage Factor Estimation Open
The predictive value of a statistical model can often be improved by applying shrinkage methods. This can be achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors can also be estimated …