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Published in 2017 at "Environmetrics"
DOI: 10.1002/env.2464
Abstract: Environmental data are often spatially correlated and sometimes include observations below or above detection limits (i.e., censored values reported as less or more than a level of detection). Existing research studies mainly concentrate on parameter…
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Keywords:
spatial models;
response;
models censored;
influence diagnostics ... See more keywords
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Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7584
Abstract: Missing covariate values are prevalent in regression applications. While an array of methods have been developed for estimating parameters in regression models with missing covariate data for a variety of response types, minimal focus has…
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Keywords:
regression;
validation;
regression models;
missing covariates ... See more keywords
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Published in 2017 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2016.1182128
Abstract: ABSTRACT Since the seminal paper by Cook and Weisberg [9], local influence, next to case deletion, has gained popularity as a tool to detect influential subjects and measurements for a variety of statistical models. For…
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Keywords:
influence;
generalized linear;
influence diagnostics;
influential subjects ... See more keywords
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Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215615597
Abstract: This paper aims to develop diagnostic measures to assess the influence of data perturbations on estimates in AB-BA crossover studies with a Poisson distributed response. Generalised mixed linear models with normally distributed random effects are…
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Keywords:
data crossover;
diagnostics count;
crossover trials;
influence diagnostics ... See more keywords