ORCID Profile
0000-0001-8022-8002
Current Organisations
Københavns Universitet
,
University of Sydney
,
University of Melbourne
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Publisher: Informa UK Limited
Date: 03-2020
DOI: 10.2147/OPTH.S241628
Publisher: American Geophysical Union (AGU)
Date: 08-2020
DOI: 10.1029/2020WR027578
Abstract: Conceptual uncertainty is considered one of the major sources of uncertainty in groundwater flow modeling. Hypothesis testing is essential to increase system understanding by analyzing and refuting alternative conceptual models. We present a systematic approach to conceptual model testing aimed at finding an ensemble of conceptual understandings consistent with prior knowledge and observational data. This differs from the traditional approach of tuning the parameters of a single conceptual model to conform with the data through inversion. We apply this approach to a simplified hydrogeological characterization of the Wildman River area (Northern Territory, Australia) and evaluate the connectivity of sinkhole‐type depressions to groundwater. Alternative models are developed representing the process structure (i.e., different fluxes representing interactions between surface water and groundwater) and physical structure (i.e., different lithologies underlying the depressions) of the conceptual model of the depressions. Remote sensing data are used to test the process structure, while geophysical data are used to test the physical structure. Both data types are used to remove inconsistent models from an ensemble of 16 models and to update the probability of the remaining alternative conceptual models. Three out of five depressions that are used as a test case are conditionally confirmed to act as conduits for recharge, while for the last two depressions, the data are inconclusive. Although the framework is not directly prediction oriented, the testing of plausible conceptual models will ultimately lead to increased confidence of any groundwater model based on accepted posterior conceptualizations.
Publisher: Informa UK Limited
Date: 04-2022
DOI: 10.2147/OPTH.S353787
Publisher: Elsevier BV
Date: 09-2022
Publisher: Wiley
Date: 11-08-2018
DOI: 10.1111/CEO.13016
Abstract: Targeted education may impact glaucoma patients' clinical experience. The aim of this study was to measure the impact of patient-centred glaucoma-related education on knowledge, anxiety and treatment satisfaction. This was a multicentre Australia-wide randomized clinical trial. One hundred one newly diagnosed glaucoma patients were randomized 1:1 to intervention or control groups. Those randomized to the Glaucoma Australia educational intervention received telephone-based counselling about glaucoma followed by mail-out information, in addition to usual care and information from their treating ophthalmologist. The control group received only usual care and information from their treating ophthalmologist. Surveys were administered at baseline and 4 weeks following intervention. The Auckland Glaucoma Knowledge Questionnaire measured glaucoma-related knowledge. The Hospital Anxiety and Depression Scale and Eye-Drop Satisfaction Questionnaire measured anxiety and patient treatment satisfaction, respectively. Mean age was 64.7 ± 11.1 years, and 52 (51.5%) were male. There was no noticeable increase in knowledge levels in the control group (mean difference: 0.04 logits, P = 0.7), compared with a 0.49-logit (P = 0.02) increase in knowledge levels in the intervention group. Between-group comparison showed a non-significant increase in knowledge (0.45 logits, P = 0.07) comparing intervention participants with controls. Intervention participants experienced a statistically significant decrease in anxiety compared to controls (-0.60 logits, P = 0.02). No between-group difference was found in Eye-Drop Satisfaction Questionnaire scores. Patient-centred glaucoma-related education and support services may improve knowledge and can reduce anxiety for newly diagnosed glaucoma patients. All glaucoma patients should be adequately counselled about the nature of the disease and its management.
Publisher: Elsevier BV
Date: 02-2019
Publisher: Informa UK Limited
Date: 09-2004
DOI: 10.2147/OPTH.S373290
Publisher: MDPI AG
Date: 15-07-2019
DOI: 10.3390/W11071463
Abstract: Conceptual uncertainty is considered one of the major sources of uncertainty in groundwater flow modelling. In this regard, hypothesis testing is essential to increase system understanding by refuting alternative conceptual models. Often a stepwise approach, with respect to complexity, is promoted but hypothesis testing of simple groundwater models is rarely applied. We present an approach to model-based Bayesian hypothesis testing in a simple groundwater balance model, which involves optimization of a model in function of both parameter values and conceptual model through trans-dimensional s ling. We apply the methodology to the Wildman River area, Northern Territory, Australia, where we set up 32 different conceptual models. A factorial approach to conceptual model development allows for direct attribution of differences in performance to in idual uncertain components of the conceptual model. The method provides a screening tool for prioritizing research efforts while also giving more confidence to the predicted water balance compared to a deterministic water balance solution. We show that the testing of alternative conceptual models can be done efficiently with a simple additive and linear groundwater balance model and is best done relatively early in the groundwater modelling workflow.
Publisher: Society of Exploration Geophysicists
Date: 27-08-2018
Publisher: Informa UK Limited
Date: 26-08-2021
Two-Year Multicenter Outcomes of iStent inject Trabecular Micro-Bypass Stents Combined with Phacoemulsification in Various Types of Glaucoma and Ocular Hypertension
Publisher: Informa UK Limited
Date: 10-2020
DOI: 10.2147/OPTH.S271646
Publisher: Wiley
Date: 06-04-2018
DOI: 10.1111/CEO.13194
No related grants have been discovered for Simon Skalicky.