Search results for: Georg Heinze

Items from 1 to 20 out of 106 results

article

Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction

Mariella Gregorich, Sean L. Simpson, Georg Heinze

Statistics in Medicine > 43 > 13 > 2592 - 2606

Statistical techniques are needed to analyze data structures with complex dependencies such that clinically useful information can be extracted. Individual‐specific networks, which capture dependencies in complex biological systems, are often summarized by graph‐theoretical features. These features, which lend themselves to outcome modeling, can be subject to high variability due to arbitrary decisions...

article

Phases of methodological research in biostatistics—Building the evidence base for new methods

Georg Heinze, Anne‐Laure Boulesteix, Michael Kammer, Tim P. Morris, more

Biometrical Journal > 66 > 1 > n/a - n/a

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 community. We propose a framework to think about how a piece of methodological work contributes to the evidence base for a method. Similar to the well‐known phases of clinical research in drug development, we propose to define four phases of methodological...

article

A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data

Kim Luijken, Rolf H. H. Groenwold, Maarten Smeden, Susanne Strohmaier, more

Biometrical Journal > 66 > 1 > n/a - n/a

A common view in epidemiology is that automated confounder selection methods, such as backward elimination, should be avoided as they can lead to biased effect estimates and underestimation of their variance. Nevertheless, backward elimination remains regularly applied. We investigated if and under which conditions causal effect estimation in observational studies can improve by using backward elimination...

article

Graph‐to‐local limit for a multi‐species nonlocal cross‐interaction system

Antonio Esposito, Georg Heinze, Jan‐Frederik Pietschmann, André Schlichting

PAMM > 23 > 4 > n/a - n/a

In this note we continue the study of nonlocal interaction dynamics on a sequence of infinite graphs, extending the results of Esposito, Heinze and Schlichting to an arbitrary number of species. Our analysis relies on the observation that the graph dynamics form a gradient flow with respect to a non‐symmetric Finslerian gradient structure. Keeping the nonlocal interaction energy fixed, while localizing...

article

Statistical advising: Professional development opportunities for the biostatistician

Marissa LeBlanc, Corina S. Rueegg, Nural Bekiroğlu, Tonya M. Esterhuizen, more

Statistics in Medicine > 41 > 5 > 847 - 859

article

Estimation of the prevalence of chronic kidney disease in people with diabetes by combining information from multiple routine data collections

Angelika Geroldinger, Milan Hronsky, Florian Endel, Gottfried Endel, more

Journal of the Royal Statistical Society: Series A (Statistics in Society) > 184 > 4 > 1260 - 1282

Health care claims databases maintained by social insurance institutions provide rich and sometimes easily accessible data sources for epidemiological research. Interpreting the registered claims, for example, drug prescriptions, as proxies for the condition of interest, for example, diabetes, they allow for nationwide prevalence estimation. We illustrate a more subtle use of health care claims data...

article

Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling

Christine Wallisch, Daniela Dunkler, Geraldine Rauch, Riccardo Bin, more

Statistics in Medicine > 40 > 2 > 369 - 381

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 is commonly applied to remove irrelevant ones. This practice may introduce additional variability and selection is rarely certain. However, these issues are often...

article

An advanced prediction model for postoperative complications and early implant failure

Balazs Feher, Stefan Lettner, Georg Heinze, Florian Karg, more

Clinical Oral Implants Research > 31 > 10 > 928 - 935

Objectives Risk prediction in implant dentistry presents specific challenges including the dependence of observations from patients with multiple implants and rare outcome events. The aim of this study was to use advanced statistical methods based on penalized regression to assess risk factors in implant dentistry. Material and methods We conducted a retrospective study from January 2016 to November...

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

Maria C. Haller, Christine Wallisch, Geir Mjøen, Hallvard Holdaas, more

Transplant International > 33 > 7 > 729 - 739

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 from transplantations performed at the Oslo University Hospital from 1854 live donors and from 837 recipients of a live donor kidney transplant to derive Cox models...

article

The role of prescription drugs in female overactive bladder syndrome—A population‐wide cohort study

Wolfgang Umek, Andreas Gleiss, Barbara Bodner‐Adler, Berthold Reichardt, more

Pharmacoepidemiology and Drug Safety > 29 > 2 > 189 - 198

Purpose Overactive bladder (OAB) syndrome has severe effects on quality of life. Certain drugs are known risk factors for OAB but have not been investigated in a population‐wide cohort. The objective of this study was to investigate the role of prescription drugs in the etiology of the OAB. Methods Retrospective cohort study using a population‐wide database of 4 185 098 OAB‐naïve women followed...

article

To test or to estimate? P‐values versus effect sizes

Daniela Dunkler, Maria Haller, Rainer Oberbauer, Georg Heinze

Transplant International > 33 > 1 > 50 - 55

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 to declare “statistical significance” and hence, “proves” that, for example, an intervention has an effect on the outcome of interest. Especially in observational...

article

Authors’ reply

Georg Heinze, Christine Wallisch, Daniela Dunkler

Biometrical Journal > 61 > 6 > 1598 - 1599

article

Quantitative approaches underpinning decision making

Martin Posch, Frank Bretz, Tim Friede, Georg Heinze

Biometrical Journal > 61 > 5 > 1103 - 1103

article

Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach

Prathibha R. Gajjala, Heike Bruck, Heidi Noels, Georg Heinze, more

Journal of Molecular Medicine > 2019 > 97 > 10 > 1451-1463

Chronic kidney disease (CKD) may progress to end-stage renal disease (ESRD) at different pace. Early markers of disease progression could facilitate and improve patient management. However, conventional blood and urine chemistry have proven unable to predict the progression of disease at early stages. Therefore, we performed untargeted plasma peptidome analysis to select the peptides involved in progression,...

article

Steroid pretreatment of organ donors does not impact on early rejection and long‐term kidney allograft survival: Results from a multicenter randomized, controlled trial

Roman Reindl‐Schwaighofer, Alexander Kainz, Kira Jelencsics, Andreas Heinzel, more

American Journal of Transplantation > 19 > 6 > 1770 - 1776

Steroid pretreatment of deceased donors reduces inflammation in allografts and is recommended by organ procurement guidelines. The impact on long‐term graft outcome, however, remains elusive. In this multicenter randomized controlled trial, 306 deceased donors providing organs for 455 renal transplant recipients were randomized to 1000 mg of methylprednisolone or placebo prior to organ procurement...

article

Overweight and obesity in type 1 diabetes equal those of the general population

Paul Fellinger, David Fuchs, Peter Wolf, Georg Heinze, more

Wiener klinische Wochenschrift > 2019 > 131 > 3-4 > 55-60

Summary Background The obesity epidemic might affect patients with type 1 diabetes (T1DM), historically described as lean and insulin-sensitive subjects. Insulin resistance in T1DM might increase diabetic complications, especially cardiovascular disease. Therefore, the body mass index (BMI) in T1DM patients was analyzed in comparison to the general population. Furthermore, the impact of increased...

article

Predicting future citation counts of scientific manuscripts submitted for publication: a cohort study in transplantology

Michael Kossmeier, Georg Heinze

Transplant International > 32 > 1 > 6 - 15

Citations are widely used for measuring scientific impact. The goal of the present study was to predict citation counts of manuscripts submitted to Transplant International (TI) in the two calendar years following publication. We considered a comprehensive set of 21 manuscript, author, and peer‐review‐related predictor variables available early in the peer‐review process. We also evaluated how successfully...

article

Kidney transplant outcomes from older deceased donors: a paired kidney analysis by the European Renal Association–European Dialysis and Transplant Association Registry

Maria Pippias, Kitty J. Jager, Fergus Caskey, Anna Casula, more

Transplant International > 31 > 7 > 708 - 719

As the median age of deceased kidney donors rises, updated knowledge of transplant outcomes from older deceased donors in differing donor–recipient age groups is required. Using ERA‐EDTA Registry data we determined survival outcomes of kidney allografts donated from the same older deceased donor (55–70 years), and transplanted into one recipient younger and one recipient of similar age to the donor...

article

Variable selection – A review and recommendations for the practicing statistician

Georg Heinze, Christine Wallisch, Daniela Dunkler

Biometrical Journal > 60 > 3 > 431 - 449

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‐established if the set of independent variables to consider is fixed and small. Hence, we can assume that effect estimates are unbiased and the usual methods for...

article

An unjustified benefit: immortal time bias in the analysis of time‐dependent events

Andreas Gleiss, Rainer Oberbauer, Georg Heinze

Transplant International > 31 > 2 > 125 - 130

Immortal time bias is a problem arising from methodologically wrong analyses of time‐dependent events in survival analyses. We illustrate the problem by analysis of a kidney transplantation study. Following patients from transplantation to death, groups defined by the occurrence or nonoccurrence of graft failure during follow‐up seemingly had equal overall mortality. Such naive analysis assumes that...

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INFONA - science communication portal

Search results for: Georg Heinze

Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction

Phases of methodological research in biostatistics—Building the evidence base for new methods

A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data

Graph‐to‐local limit for a multi‐species nonlocal cross‐interaction system

Statistical advising: Professional development opportunities for the biostatistician

Estimation of the prevalence of chronic kidney disease in people with diabetes by combining information from multiple routine data collections

Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling

An advanced prediction model for postoperative complications and early implant failure

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

The role of prescription drugs in female overactive bladder syndrome—A population‐wide cohort study

To test or to estimate? P‐values versus effect sizes

Authors’ reply

Quantitative approaches underpinning decision making

Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach

Steroid pretreatment of organ donors does not impact on early rejection and long‐term kidney allograft survival: Results from a multicenter randomized, controlled trial

Overweight and obesity in type 1 diabetes equal those of the general population

Predicting future citation counts of scientific manuscripts submitted for publication: a cohort study in transplantology

Kidney transplant outcomes from older deceased donors: a paired kidney analysis by the European Renal Association–European Dialysis and Transplant Association Registry

Variable selection – A review and recommendations for the practicing statistician

An unjustified benefit: immortal time bias in the analysis of time‐dependent events

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