Screening is undertaken not only for the purpose of giving therapeutic treatment to those among screen positive subjects found to be diagnosis positive, but it is also used in epidemiology as the first phase of multi-phase sampling designs. We review the use of such designs in epidemiology, and in psychiatric epidemiology in particular, focusing on two-phase or double sampling. We then compare a variety of approaches to the statistical analysis of data from such designs including the use of sampling weights, Gibbs sampling, full maximum likelihood for random effects logistic regression and a simple E-M algorithm for incomplete data. The methods are illustrated using data from a recent multi-phase study of psychiatric morbidity in northern S...
Multi-phased designs and biased sampling designs are two of the well recognized approaches to enhanc...
Two-phase stratified sampling designs can reduce the cost of genetic epidemiologic studies by limiti...
This paper studies a semi-parametric method for estimating the prevalence of a disease using a two-p...
A population survey for estimating prevalence is challenging when a disease or condition is difficul...
This paper provides an overview of the probability sample designs and sampling methods for the Colla...
Disease prevalence is ideally estimated using a ‘gold standard ’ to ascertain true disease status on...
Thesis (Ph.D.)--University of Washington, 2014An observational epidemiologic study often follows a ...
The characteristics of psychiatric screening tests (for example, sensitivity, specificity, and AUC –...
Response‐dependent two‐phase designs are used increasingly often in epidemiological studies to ensur...
Adapted from the acceptance sampling field, the double sampling monitoring schemes implement a two-s...
The Patient Survey is a designated statistical survey conducted every three years with the objective...
Thesis (Ph.D.)--University of Washington, 2012Two-phase sampling is a sampling technique for cost re...
Disease prevalence is ideally estimated using a “gold standard” to ascertain true disease status on ...
Two‐phase sampling designs are developed and investigated for use in the context of a rheumatology s...
Ecologic (aggregate) data are widely available and widely utilized in epidemiologic studies. However...
Multi-phased designs and biased sampling designs are two of the well recognized approaches to enhanc...
Two-phase stratified sampling designs can reduce the cost of genetic epidemiologic studies by limiti...
This paper studies a semi-parametric method for estimating the prevalence of a disease using a two-p...
A population survey for estimating prevalence is challenging when a disease or condition is difficul...
This paper provides an overview of the probability sample designs and sampling methods for the Colla...
Disease prevalence is ideally estimated using a ‘gold standard ’ to ascertain true disease status on...
Thesis (Ph.D.)--University of Washington, 2014An observational epidemiologic study often follows a ...
The characteristics of psychiatric screening tests (for example, sensitivity, specificity, and AUC –...
Response‐dependent two‐phase designs are used increasingly often in epidemiological studies to ensur...
Adapted from the acceptance sampling field, the double sampling monitoring schemes implement a two-s...
The Patient Survey is a designated statistical survey conducted every three years with the objective...
Thesis (Ph.D.)--University of Washington, 2012Two-phase sampling is a sampling technique for cost re...
Disease prevalence is ideally estimated using a “gold standard” to ascertain true disease status on ...
Two‐phase sampling designs are developed and investigated for use in the context of a rheumatology s...
Ecologic (aggregate) data are widely available and widely utilized in epidemiologic studies. However...
Multi-phased designs and biased sampling designs are two of the well recognized approaches to enhanc...
Two-phase stratified sampling designs can reduce the cost of genetic epidemiologic studies by limiti...
This paper studies a semi-parametric method for estimating the prevalence of a disease using a two-p...