Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister +4 more
wiley +1 more source
'Sweating Blood': Patients' Dirty Work in Informal Complaint Biographies. [PDF]
Brüggemann J, Guntram L, Nedlund AC.
europepmc +1 more source
Tensor Changepoint Detection and Eigenbootstrap
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 more
wiley +1 more source
A single PCR-sequencing method to establish the frequency of kdr alleles in the stable fly, Stomoxys calcitrans: application to seven livestock farms from south of France. [PDF]
Sato MR +6 more
europepmc +1 more source
Density‐Valued ARMA Models by Spline Mixtures
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley +1 more source
Cross-sectoral use of Patient-Reported Outcomes (C-PRO)-the effect on the cost per improvement in quality of life for patients with chronic degenerative shoulder conditions-a protocol for a randomised controlled trial. [PDF]
Nyholm AM +6 more
europepmc +1 more source
Testing Distributional Granger Causality With Entropic Optimal Transport
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Exploring the relationship between telehealth utilization and treatment burden among patients with chronic conditions: A cross-sectional study in Ontario, Canada. [PDF]
Tahsin F +3 more
europepmc +1 more source
The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley +1 more source
The 10th yearly volume of JPOR is complete. [PDF]
Lundh LG, Bergman LR.
europepmc +1 more source

