Health Research Methods

Our goal is to develop (discovery), test (evaluation), and make available (implementation) research methods in the health research field.

 

  ocre  Discovery Science              ocre   Evaluation Science              blue  Implementation Science

 

A Lego System for Transformation Inference

Torsten Horhorn

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Statistical methods form the backbone of empirical research. The complex reality overlaid by random processes can be reduced to the essentials through the statistical approach and thus made accessible for human interpretation. It is always necessary to find an appropriate compromise between model complexity and interpretability.

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COMBACTE Magnet: Antimicrobial resistance in ICU

Leonhard Held

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Bayesian variable and model selection techniques can be used to find a prediction model for mortality at the intensive care unit (ICU) by assessing the effect of hospital-acquired pneumonia (HAP) and other possible variables (age, patient characteristics at day of admission, patient characteristics during ICU stay) on mortality at the ICU.

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COMBACTE STAT-Net: Clinical trial design for antibiotics

Leonhard Held

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We develop novel clinical trial designs for the development of new antibiotic drugs.

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COVID-19 Illness Tracking in Tested Persons (ITITp)

Patricia Schlagenhauf

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Using an App, we will collect data on Swiss army recruits who test for SARS-CoV-2 and compare positives and negatives with regard to symptoms, quality of life and (re)infection rates.

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Evaluation of CD4 and CD8 as progression markers for HIV1 infection

Leonhard Held

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The project examines the relationship between CD4+ and CD8+ during HIV infection and the prognostic value of CD8+ additional to CD4+ for HIV disease progression.

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  Geographic variation in the utilisation of health care interventions: what is the role
of recommendations and other influences?
Matthias Schwenkglenks
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We study geographic variation in the healthcare for chronic diseases, related determinant with a special focus on clinical recommendations, and consequences.

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Health economic aspects of atrial fibrillation: analyses based on the Swiss-AF cohort study

Matthias Schwenkglenks

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We study the cost implications of atrial fibrilation, a frequent heart arrhythmia, and the value-for-money of related treatments, based on data from the Swiss Atrial Fibrillation Cohort Study.

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Improving Treatment Decisions for Acute Stroke Patients through Deep Learning based Risk Analysis

Beate Sick

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We aim to improve treatment decisions for patients with acute ischemic stroke with novel machine learning algorithms.

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Long Covid in Military Organisations (LoCoMo)

Pat Schlagenhauf

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The  “LoCoMo” study is a prospective, longitudinal cohort study designed to follow-up on 500 tested army personnel who tested either SARS-CoV-2 positive or negative while serving in the Swiss Armed Forces in early 2020.

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NISCI: Antibodies Against Nogo-A to Enhance Plasticity, Regeneration and Functional Recovery After Acute Spinal Cord Injury, a Multicenter European Clinical Proof of Concept Trial

Torsten Hothorn 

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We develop a statistical model for the conditional upper extremity motor score distribution in two-armed randomized clinical trials.

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Objective Bayesian model selection in generalized regression

Leonhard Held

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We aim to develop novel statistical methodology for objective Bayesian model selection in generalized regression models.

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Spatio-temporal modelling
of infectious diseases

Leonhard Held

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This research project aims to develop novel statistical methodology for both retro- and prospective analysis of space-time data on infectious disease incidence.

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SPLASHY -
Swiss Preschooler‘s Health Study

Susi Kriemler

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Pilot Study
This is a pilot study to evaluate the feasibility of a motor skill enhancing intervention in preschoolers.

Observational Study
This is an observational study to test the relation between physical activity and stress and important health outcomes such as motor skills, cognition, psyological health and obesity in preschoolers.

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SUSPend: Impact of Social distancing policies and Underreporting on the SPatio-temporal spread of COVID-19

Leonhard Held

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This project will provide evidence to improve public health response and aid in decisions on optimal social control strategies, particularly when to initiate travel restrictions and social distancing measures, and improve situational awareness.

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Validation of two activity monitors (ActiGraph, activPAL) in the measurements of posture and motion in white-collar occupations

Holger Dressel

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This study compares the ActiGraph and activPAL activity monitors in the measurement of posture and motion in white-collar workers.

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