Search results for "Outcome variable"
showing 7 items of 7 documents
Self-reported health versus biomarkers: does unemployment lead to worse health?
2020
Abstract Objectives This paper examines the relationship between unemployment and health using both subjective and biometric information on health status. Study design Longitudinal panel data. Methods We compare the results of regressions of unemployment on self-reported health with those of regressions of unemployment on health as measured with biomarkers (hypertension and levels of blood glucose and C-reactive protein). Using the panel structure of our data, we account for selection bias with respect to unemployment by controlling for health before exposure to unemployment. Results We observe a striking pattern. Using self-reported health as the outcome variable, we find a link between un…
Physical Activity Among Adolescents With Long-Term Illnesses or Disabilities in 15 European Countries.
2017
Physical activity (PA) is an important health-promoting behavior from which adolescents with long-term illnesses or disabilities (LTID) can benefit. It is important to monitor differences across countries in adherence with PA recommendations for health. The aim of this study was to compare PA levels among 15 European countries after disaggregating data by disability. Data from pupils (mean age = 13.6 years, SD = 1.64) participating in the 2013/2014 Health Behavior in School-aged Children study were analyzed to compare adolescents without LTID, with LTID, and with LTID that affects their participation (affected LTID). Logistic regression models adjusted for age and family affluence, stratifi…
Effect of bone loss on the fracture resistance of narrow dental implants after implantoplasty. An in vitro study
2021
Background Implantoplasty (IP) involves polishing of the exposed surface of implants affected by peri-implantitis (PI). A study was made to determine whether the degree of bone loss influences the fracture resistance of implants with or without IP. Material and Methods An in vitro study was carried out on 32 narrow (3.5 mm) dental implants with a rough surface and external hexagonal connection. Implantoplasty was performed in half of the implants of the sample. Both the IP and control implants were divided into two subgroups according to the amount of bone loss (3 mm or 7.5 mm). Standardized radiographic assessment of implant width was performed using specific software. The main outcome var…
The effect of high performance work systems on small and medium size enterprises
2015
Abstract This study analyzes the processes that explain high performance work system (HPWS) effect on company performance in small and medium size enterprises (SMEs). This study tests this relationship in SMEs by selecting three high performance work practices (HPWP) and an outcome variable based on the return on investment. A regression model with a sample of 78 companies tests the hypothesis. Results confirm the positive effect of HPWP on the performance of SMEs.
Some extensions of multivariate sliced inverse regression
2007
Multivariate sliced inverse regression (SIR) is a method for achieving dimension reduction in regression problems when the outcome variable y and the regressor x are both assumed to be multidimensional. In this paper, we extend the existing approaches, based on the usual SIR I which only uses the inverse regression curve, to methods using properties of the inverse conditional variance. Contrary to the existing ones, these new methods are not blind for symmetric dependencies and rely on the SIR II or SIRα. We also propose their corresponding pooled slicing versions. We illustrate the usefulness of these approaches on simulation studies.
Nonlinear parametric quantile models
2020
Quantile regression is widely used to estimate conditional quantiles of an outcome variable of interest given covariates. This method can estimate one quantile at a time without imposing any constraints on the quantile process other than the linear combination of covariates and parameters specified by the regression model. While this is a flexible modeling tool, it generally yields erratic estimates of conditional quantiles and regression coefficients. Recently, parametric models for the regression coefficients have been proposed that can help balance bias and sampling variability. So far, however, only models that are linear in the parameters and covariates have been explored. This paper …
Clinical retrospective study of dental implant removal : do patients who require implant removal desire implant prosthesis again?
2020
Background This study investigated the causes of dental implant removal due to complications, and examined whether patients who had dental implant removal desired re-implant prosthesis treatments. Material and Methods A retrospective case–control study was conducted on patients who had their dental implants removed. We investigated whether the removed dental implant was replaced with other implant prostheses. Age, sex, diabetes, smoking, implant site distribution, reason for implant removal, and blade and root-form implants were categorized as predictive variables. The outcome variable was desire for re-implantation or use of other prosthetic methods after implant removal. A logistic regres…