Network scale-up is an indirect size estimation method, in which participants are questioned on sensitive behaviors of their social network members. Therefore, the visibility of the behavior affects the replies and estimates. Many attempts to estimate visibility have been made. The aims of this study were to review the main methods used to address visibility and to provide a summary of reported visibility factors (VFs) across populations. We systematically searched relevant databases and Google. In total, 15 studies and reports that calculated VFs were found. VF calculation studies have been applied in 9 countries, mostly in East Asia and Eastern Europe. The methods applied were expert opinion, comparison of NSU with another method, the gam...
Estimating sizes of hidden or hard-to-reach populations is an important problem in public health. Fo...
BackgroundNetwork Scale Up (NSU) is a promising tool for size estimation of sensitive issues. In thi...
Researchers interested in studying populations that are difficult to reach through traditional surve...
Network scale-up is an indirect size estimation method, in which participants are questioned on sens...
The results of the network scale-up (NSU) method in estimating the size of key populations for HIV m...
Background: Network Scale Up (NSU) is applied in many settings to estimate the size of hidden popula...
Background: This study aimed to estimate the prevalence of substance use among university students m...
The network scale-up method enables researchers to estimate the size of hidden populations, such as ...
The network scale-up method is a promising technique that uses sampled social network data to estima...
The network scale-up method enables researchers to estimate the size of hidden populations, such as ...
The network scale-up method enables researchers to estimate the size of hidden populations, such as ...
Background: To provide prevention programs and educate drug users (DUs), the estimation of their pop...
Estimation of the size of hidden and hard-to-reach sub-populations, such as drug-abusers, is a very ...
Knowing the population size of rare diseases or special subpopulations like injection drug users (ID...
Thesis (Master's)--University of Washington, 2013We develop methods for estimating hard-to-reach pop...
Estimating sizes of hidden or hard-to-reach populations is an important problem in public health. Fo...
BackgroundNetwork Scale Up (NSU) is a promising tool for size estimation of sensitive issues. In thi...
Researchers interested in studying populations that are difficult to reach through traditional surve...
Network scale-up is an indirect size estimation method, in which participants are questioned on sens...
The results of the network scale-up (NSU) method in estimating the size of key populations for HIV m...
Background: Network Scale Up (NSU) is applied in many settings to estimate the size of hidden popula...
Background: This study aimed to estimate the prevalence of substance use among university students m...
The network scale-up method enables researchers to estimate the size of hidden populations, such as ...
The network scale-up method is a promising technique that uses sampled social network data to estima...
The network scale-up method enables researchers to estimate the size of hidden populations, such as ...
The network scale-up method enables researchers to estimate the size of hidden populations, such as ...
Background: To provide prevention programs and educate drug users (DUs), the estimation of their pop...
Estimation of the size of hidden and hard-to-reach sub-populations, such as drug-abusers, is a very ...
Knowing the population size of rare diseases or special subpopulations like injection drug users (ID...
Thesis (Master's)--University of Washington, 2013We develop methods for estimating hard-to-reach pop...
Estimating sizes of hidden or hard-to-reach populations is an important problem in public health. Fo...
BackgroundNetwork Scale Up (NSU) is a promising tool for size estimation of sensitive issues. In thi...
Researchers interested in studying populations that are difficult to reach through traditional surve...