B. Holzhauer

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Meta‐analysis of aggregate data on medical events

B. Holzhauer, 2017, Statistics in medicine.

Methods for Using Aggregate Historical Control Data in Meta-Analyses of Clinical Trials With Time-to-Event Endpoints

B. Holzhauer, 2020, Statistics in Biopharmaceutical Research.

Heart rate as a predictor of stroke in high-risk, hypertensive patients with previous stroke or transient ischemic attack.

S. Kjeldsen, T. Hua, S. Julius, 2014, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study

Lisa V. Hampson, Markus R. Lange, A. O'Hagan, 2022, Pharmaceutical statistics.

Effect of valsartan on kidney outcomes in people with impaired glucose tolerance

R. Holman, J. McMurray, M. A. Bethel, 2017, Diabetes, obesity & metabolism.

Cardiovascular outcomes at recommended blood pressure targets in middle-aged and elderly patients with type 2 diabetes mellitus and hypertension

G. Mancia, S. Kjeldsen, S. Julius, 2021, Blood pressure.

Cardiovascular outcomes at recommended blood pressure targets in middle-aged and elderly patients with type 2 diabetes mellitus compared to all middle-aged and elderly hypertensive study patients with high cardiovascular risk

G. Mancia, S. Kjeldsen, S. Julius, 2021, Blood pressure.

No evidence for a J-shaped curve in treated hypertensive patients with increased cardiovascular risk: The VALUE trial

G. Mancia, A. Zanchetti, S. Kjeldsen, 2016, Blood pressure.

Fevipiprant, an oral prostaglandin DP2 receptor (CRTh2) antagonist, in allergic asthma uncontrolled on low-dose inhaled corticosteroids

E. Bateman, R. Townley, B. Holzhauer, 2017, European Respiratory Journal.

Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study pdf

Anthony O'Hagan, John Paul Gosling, Björn Holzhauer, 2021, ArXiv.

Improving the assessment of the probability of success in late stage drug development

Björn Holzhauer, Lisa V. Hampson, Björn Bornkamp, 2021, Pharmaceutical statistics.

Evidence synthesis from aggregate recurrent event data for clinical trial design and analysis

Heinz Schmidli, Björn Holzhauer, Craig Wang, 2018, Statistics in medicine.

Safety and tolerability of canakinumab, an IL-1β inhibitor, in type 2 diabetes mellitus patients: a pooled analysis of three randomised double-blind studies

A. Noè, B. Holzhauer, T. Thuren, 2014, Cardiovascular Diabetology.

Effect of nateglinide on the incidence of diabetes and cardiovascular events.

M. Laakso, R. Califf, Lawrence A Leiter, 2010, The New England journal of medicine.

Effect of valsartan on the incidence of diabetes and cardiovascular events.

M. Laakso, R. Califf, Lawrence A Leiter, 2010, The New England journal of medicine.

Predictors of cardiac morbidity in diabetic, new-onset diabetic and non-diabetic high-risk hypertensive patients: The Valsartan Antihypertensive Long-term Use Evaluation (VALUE) trial

S. Kjeldsen, T. Hua, S. Julius, 2016, Blood pressure.

Cardiovascular outcomes at different on-treatment blood pressures in the hypertensive patients of the VALUE trial.

G. Mancia, A. Zanchetti, S. Kjeldsen, 2016, European Heart Journal.

Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

C. Janson, K. Larsson, Bine Kjøller Bjerregaard, 2021, Respiratory medicine.

Fevipiprant, a prostaglandin D2 receptor 2 antagonist, in patients with persistent eosinophilic asthma: a single-centre, randomised, double-blind, parallel-group, placebo-controlled trial.

I. Pavord, C. Brightling, A. Wardlaw, 2016, The Lancet. Respiratory medicine.

Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning – Based on the ARCTIC Study

C. Janson, K. Larsson, K. Lisspers, 2021, International journal of chronic obstructive pulmonary disease.

Maximizing Adherence and Gaining New Information For Your Chronic Obstructive Pulmonary Disease (MAGNIFY COPD): Study Protocol for the Pragmatic, Cluster Randomized Trial Evaluating the Impact of Dual Bronchodilator with Add-On Sensor and Electronic Monitoring on Clinical Outcomes

D. Halpin, N. Roche, K. Kostikas, 2021, Pragmatic and observational research.

Predicting drug approvals: The Novartis data science and artificial intelligence challenge

Björn Holzhauer, Yingyao Zhou, Simon Wandel, 2021, Patterns.

Design and Analysis of Diabetes Prevention Trials for Glucose-Lowering Drugs

B. Holzhauer, 2014 .

A New Comprehensive Approach to Assess the Probability of Success of Development Programs Before Pivotal Trials

Lisa V. Hampson, Markus R. Lange, B. Bornkamp, 2021, Clinical pharmacology and therapeutics.

“Super‐covariates”: Using predicted control group outcome as a covariate in randomized clinical trials

B. Holzhauer, E. Adewuyi, 2023, Pharmaceutical statistics.

Cardiovascular outcomes at different on-treatment blood pressures in the hypertensive patients of the VALUE trial.

G. Mancia, A. Zanchetti, S. Kjeldsen, 2016, European heart journal.

Choice of estimand and analysis methods in diabetes trials with rescue medication

Björn Holzhauer, Mouna Akacha, G. Bermann, 2015, Pharmaceutical statistics.

Diagnostic performance of a machine-learning algorithm (Asthma/COPD Differentiation Classification; AC/DC) tool versus primary care physicians and pulmonologists in asthma, COPD and ACO.

K. Kostikas, A. Kaplan, H. Reddel, 2023, The journal of allergy and clinical immunology. In practice.