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dedup_wf_001--cb0d03892af33ee8063f732ae96b1c08
We show how a factor analysis model can be fitted to nominal data using the computer program Mplus. The model is akin to multinomial logistic regression with unobserved... -
Detecting asthma exacerbations using daily home monitoring and machine learning
Objective: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to... -
The Cold War as an Aesthetic Phenomenon: An Afterthought on Boris Groys
The Cold War as an Aesthetic Phenomenon: An Afterthought on Boris Groys -
The association between upper limb function and variables at the different do...
To investigate the variables per International Classification of Functioning, Disability and Health (ICF)-domain that are associated with upper limb (UL) function in women after... -
A hierarchical algorithm for multicentric matched cohort study designs
Lack of structural equality is a major issue to be addressed in observational studies. Their major disadvantage of these studies compared to randomized controlled trials is the... -
Monitoring the effects of vehicle components’ size on optimum structural cras...
To determine the effects of vehicle components’ size on the optimum structural crashworthiness of a vehicle, sufficient data on the expected crash behaviour are required.... -
Bias Correction for Replacement Samples in Longitudinal Research
Missing data are commonly encountered problem in longitudinal research. One way researchers handle missing data is through the use of supplemental samples (i.e., the addition of... -
Inter- and intra-city networks: how networks are shaping China’s film industry
While existing studies have mapped out various networks with some visualization techniques, we move one step forward by examining if city/firm performance is dependent not only... -
Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochasti...
We develop a flexible modeling and estimation framework for a high-dimensional factor stochastic volatility (SV) model. Our specification allows for leverage effects, asymmetry... -
Scalable module detection for attributed networks with applications to breast...
The objective of network module detection is to identify groups of nodes within a network structure that are tightly connected. Nodes in a network often have attributes (aka... -
dedup_wf_001--3627d46af887194d3bcca2d4980a0c70
OBJECTIVE To investigate the relationship between self-reported osteoarthritis (OA) and reproductive factors in the Women's Health Initiative (WHI). METHOD We used multivariable... -
Two-Step Estimation of Incomplete Information Social Interaction Models with ...
In this study, we consider linear social interaction models under incomplete information that allow for missing outcome data due to sample selection. For model estimation,... -
Semiparametric efficient inferences for generalised partially linear models
In this paper, we consider semiparametric efficient inferences in the generalised partially linear models. A novel bias-corrected estimating procedure and a bias-corrected... -
Simultaneous Covariance Inference for Multimodal Integrative Analysis
Multimodal integrative analysis fuses different types of data collected on the same set of experimental subjects. It is becoming a norm in many branches of scientific research,... -
He Has Gone to a Better Place, but She Has Not: Health Status of Hindu Widows...
Using detailed individual and household-level data from the first two rounds of the India Human Development Survey (IHDS) conducted in 2004–05 and 2011–12, this paper estimates... -
dedup_wf_001--803e58247d6a69636979ff103788ad9a
: One third of high- and prohibitive-risk TAVR patients remain severely symptomatic or die 1 year after treatment. There is interest in identifying individuals for whom this... -
Repeatability study of replicate crash tests: A signal analysis approach
Objective: To provide an objective basis on which to evaluate the repeatability of vehicle crash test methods, a recently developed signal analysis method was used to evaluate... -
Network Competition and Team Chemistry in the NBA
Abstract–We consider a heterogeneous social interaction model where agents interact with peers within their own network but also interact with agents across other (non-peer)... -
Small area estimation of expenditure means and ratios under a unit-level biva...
Under a unit-level bivariate linear mixed model, this paper introduces small area predictors of expenditure means and ratios, and derives approximations and estimators of the... -
Mapping runoff generating areas using AGNPS-VSA model
In humid regions, surface runoff is often generated by saturation-excess runoff mechanisms from relatively small variable source areas (VSAs). However, the majority of the...