Consulta: creatorFacets:"Bottai,   Matteo"
Registros recuperados: 2
Data/hora: 17/06/2024 04:33:57

Confidence intervals for the variance component of random-effects linear models
Provedor de dados: 31
Autores: Bottai,   Matteo; Orsini,   Nicola.
We present the postestimation command xtvc to provide confidence intervals for the variance components of random-effects linear regression models. This command must be used after xtreg with option mle. Confidence intervals are based on the inversion of a score-based test (Bottai 2003).
Tipo: Journal Article
Palavras-chave: Xtvc; Variance components; Confidence intervals; Score test; Random-effects linear models; Research Methods/ Statistical Methods.
Ano: 2004
URL: http://purl.umn.edu/116270

A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies
Provedor de dados: 31
Autores: Orsini,   Nicola; Bellocco,   Rino; Bottai,   Matteo; Wolk,   Alicja; Greenland,   Sander.
Classification errors, selection bias, and uncontrolled confounders are likely to be present in most epidemiologic studies, but the uncertainty introduced by these types of biases is seldom quantified. The authors present a simple yet easy-to-use Stata command to adjust the relative risk for exposure misclassification, selection bias, and an unmeasured confounder. This command implements both deterministic and probabilistic sensitivity analysis. It allows the user to specify a variety of probability distributions for the bias parameters, which are used to simulate distributions for the bias-adjusted exposure–disease relative risk. We illustrate the command by applying it to a case–control study of occupational resin exposure and lung-cancer deaths. By...
Tipo: Article
Palavras-chave: Episens; Episensi; Sensitivity analysis; Unmeasured confounder; Misclassification; Bias; Epidemiology; Research Methods/ Statistical Methods.
Ano: 2008
URL: http://purl.umn.edu/120927