Modelling transitions in sealed surface cover fraction with Quantitative State Cellular Automata
status: published
Population Pharmacodynamic Modeling Using the Sigmoid Emax Model: Influence of Inter-individual Variability on the Steep...
Published in The AAPS Journal
The relationship between the concentration of a drug and its pharmacological effect is often described by empirical mathematical models. We investigated the relationship between the steepness of the concentration–effect relationship and inter-individual variability (IIV) of the parameters of the sigmoid Emax model, using the similarity between the ...
Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis
...
OBJECTIVE: To describe the discrimination and calibration of clinical prediction models, identify characteristics that contribute to better predictions and investigate predictors that are associated with unplanned hospital readmissions. DESIGN: Systematic review and meta-analysis. DATA SOURCE: Medline, EMBASE, ICTPR (for study protocols) and Web of...
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf m...
Online learning has been adopted rapidly by educational institutions and organizations. Despite its many advantages, including 24/7 access, high flexibility, rich content, and low cost, online learning suffers from high dropout rates that hamper pedagogical and economic goal outcomes. Enhanced student dropout prediction tools would help providers p...
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf m...
status: published
Analysis of failed discharge after ambulatory surgery: unanticipated admission.
Published in Acta chirurgica Belgica
Advantages of ambulatory surgery are lost when patients need an unplanned admission. This retrospective cohort study investigated reasons for failed discharge and unanticipated admission of adult patients after day surgery. Ambulatory patients (n = 145) requiring unanticipated admission were compared to patients (n = 4980) not requiring admission a...
Using Firth's method for model estimation and market segmentation based on choice data
© 2018 Elsevier Ltd Using maximum likelihood (ML) estimation for discrete choice modeling of small datasets causes two problems. The first problem is that the data may exhibit separation, in which case the ML estimates do not exist. Also, provided they exist, the ML estimates are biased. In this paper, we show how to adapt Firth's penalized likelih...
Data-driven optimization of processes with degrading equipment
In chemical and manufacturing processes, unit failures due to equipment degradation can lead to process downtime and significant costs. In this context, finding an optimal maintenance strategy to ensure good unit health while avoiding excessive expensive maintenance activities is highly relevant. We propose a practical approach for the integrated o...
A data-based landslide susceptibility map of Africa
© 2018 Elsevier B.V. Our understanding of the spatial patterns of landslides in Africa is limited with available landslide studies typically focusing on only one or a few study areas. Moreover, Africa is clearly underrepresented in terms of available landslide inventories. This study aims to produce a first continent-wide landslide susceptibility m...
Comparison of 3 Types of Readmission Rates for Measuring Hospital and Surgeon Performance After Primary Total Hip and Kn...
Published in The Journal of arthroplasty
All-cause 30-day hospital readmission is in widespread use for monitoring and incentivizing hospital performance for patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA). However, little is known on the extent to which all-cause readmission is influenced by hospital or surgeon performance and whether alternative measur...
