Retinal venous pulsation: Expanding our understanding and use of this enigmatic phenomenon
WH Morgan, ML Hazelton, DY Yu - Progress in retinal and eye research, 2016 - Elsevier
Retinal vein pulsation was first noted soon after the invention of the ophthalmoscope 170
years ago and was seen to change with cerebrospinal fluid pressure (CSFP) variation in the …
years ago and was seen to change with cerebrospinal fluid pressure (CSFP) variation in the …
Practical variable selection for generalized additive models
The problem of variable selection within the class of generalized additive models, when
there are many covariates to choose from but the number of predictors is still somewhat …
there are many covariates to choose from but the number of predictors is still somewhat …
Modeling nonstationary emotion dynamics in dyads using a time-varying vector-autoregressive model
Emotion dynamics are likely to arise in an interpersonal context. Standard methods to study
emotions in interpersonal interaction are limited because stationarity is assumed. This …
emotions in interpersonal interaction are limited because stationarity is assumed. This …
Detecting moderator effects using subgroup analyses
R Wang, JH Ware - Prevention science, 2013 - Springer
In the analysis of prevention and intervention studies, it is often important to investigate
whether treatment effects vary among subgroups of patients defined by individual …
whether treatment effects vary among subgroups of patients defined by individual …
Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity
The classic recursive bivariate probit model is of particular interest to researchers since it
allows for the estimation of the treatment effect that a binary endogenous variable has on a …
allows for the estimation of the treatment effect that a binary endogenous variable has on a …
Rolling regression versus time‐varying coefficient modelling: An empirical investigation of the Okun's Law in some euro area countries
During the last decade, economists have shown that the inverse relationship between
economic growth and unemployment rate varies over time. Rolling regression has been the …
economic growth and unemployment rate varies over time. Rolling regression has been the …
Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model
R Calabrese, G Marra… - Journal of the Operational …, 2016 - Taylor & Francis
We introduce a binary regression accounting-based model for bankruptcy prediction of small
and medium enterprises (SMEs). The main advantage of the model lies in its predictive …
and medium enterprises (SMEs). The main advantage of the model lies in its predictive …
Assessing the functional relationship between CO2 emissions and economic development using an additive mixed model approach
Researchers have suggested that the relationship between the emission of carbon dioxide
per capita and the real gross domestic product per capita follows an inverted-U-shaped (so …
per capita and the real gross domestic product per capita follows an inverted-U-shaped (so …
Flexible and structured survival model for a simultaneous estimation of non-linear and non-proportional effects and complex interactions between continuous …
L Remontet, Z Uhry, N Bossard, J Iwaz… - … methods in medical …, 2019 - journals.sagepub.com
Cancer survival trend analyses are essential to describe accurately the way medical
practices impact patients' survival according to the year of diagnosis. To this end, survival …
practices impact patients' survival according to the year of diagnosis. To this end, survival …
A flexible instrumental variable approach
Classical regression model literature has generally assumed that measured and
unmeasured covariates are statistically independent. For many applications, this assumption …
unmeasured covariates are statistically independent. For many applications, this assumption …