BACKGROUND In order to begin to address the burden of non-communicable diseases (NCDs) in sub-Saharan Africa, high quality community-based epidemiological studies from the region are urgently needed. Cluster-designed sampling methods may be most efficient, but designing such studies requires assumptions about the clustering of the outcomes of interest. Currently, few studies from Sub-Saharan Af...

Abstract Survey data are often collected under multistage sampling designs where units binned to clusters that sampled in a first stage. The unit-indexed population variables of interest typically dependent within cluster. We propose Fully Bayesian method constructs an exact likelihood for the observed sample incorporate unit-level marginal weights performing unbiased inference parameters while...

BACKGROUND Fatal and non-fatal injuries are of increasing public health concern globally, particularly in low and middle-income countries. Injuries sustained by individuals also impact society, creating a loss of productivity with serious economic consequences. In Sudan, there is no documentation of the burden of injuries on individuals and society. METHODS A community-based survey was perfor...

STUDY OBJECTIVES The aim of the current survey was to investigate the prevalence of sleep complaints in a randomized cluster sample of the Brazilian population. METHODS A 3-stage cluster sampling technique was utilized to randomly select Brazilian subjects older than 16 years, of both genders and all socioeconomic classes. The final sample of 2,110 subjects from 150 different cities was enoug...

Reliable estimates of abundance are needed to assess consequences of proposed habitat restoration and enhancement projects on freshwater mussels in the Upper Mississippi River (UMR). Although there is general guidance on sampling techniques for population assessment of freshwater mussels, the actual performance of sampling designs can depend critically on the population density and spatial dist...

We present a multi-phase variant of adaptive cluster sampling which allows the sampler to control the number of measurements of the variable of interest. A first-phase sample is selected using an adaptive cluster sampling design based on an inexpensive auxiliary variable associated with the survey variable. Then the network structure of the adaptive cluster sample is used to select an ordinary ...

This study aims to determine the role of adversity quotient and authoritative parenting on college students academic achievement. Subjects in this quantitative were specifically Denpasar, biggest city Bali which amounted 106 people who selected through a multi-stage cluster sampling technique. Instruments used Adversity Quotient Scale, Authoritative Parenting Scale GPA. The results multiple lin...

The construct validity of two depression measures, Zung's Self-rating Depression Scale (SDS) and the Asian Adolescents Depression Scale (AADS), was investigated. Three studies were conducted using two samples collected in two stages, and the results were used to construct the Asian Depression Scale (ADS). Participants responded to the SDS and AADS in random order of presentation during stage 1;...

BACKGROUND Malaria is a major public health concern in Bangladesh and it is highly endemic in the Chittagong Hill Tracts where prevalence was 11.7% in 2007. One sub-district, Rajasthali, had a prevalence of 36%. Several interventions were introduced in early 2007 to control malaria. This study was undertaken to evaluate the impacts of these intensive early stage interventions on malaria in Bang...

Designing an efficient large-area survey is a challenge, especially in environmental science when many populations are rare and clustered. Adaptive and unequal probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high interest. For example, higher density subareas are usually of more interest than lower density a...