The significance of Sampling Design on Inference: An Analysis of Binary Outcome Model of Children’s Schooling Using Indonesian Large Multi-stage Sampling Data [PDF]
This paper aims to exercise a rather recent trend in applied microeconometrics, namely the effect of sampling design on statistical inference, especially on binary outcome model.
Ekki Syamsulhakim
core
Epidemiological methods in diarrhoea studies--an update. [PDF]
, 2011 BACKGROUND: Diarrhoea remains a leading cause of morbidity and mortality but is difficult to measure in epidemiological studies. Challenges include the diagnosis based on self-reported symptoms, the logistical burden of intensive surveillance and the ...
Barreto, Mauricio L +15 more
core +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Adaptive cluster double sampling
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.
Mart�n H. Felix-Medina +1 more
core +1 more source
Adaptive cluster sampling for negatively correlated data [PDF]
, 2016 Adaptive cluster sampling is a design specifically developed for rare and clustered populations. Using this sampling design, we consider the case when an auxiliary variable is available in addition to the variable of interest.
Esha Mohamed +7 more
core +1 more source
On two-stage adaptive cluster sampling to assess pest density
浙江大学学报. 农业与生命科学版, 2000 The adaptive cluster sampling introduced by Thompson is a powerful method for a survey of a population which is highly clumped with clumps widely separated.
ZHANG Nan-song +2 more
doaj +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Cluster sample inference using sensitivity analysis: the case with few groups [PDF]
This paper re-examines inference for cluster samples. Sensitivity analysis is proposed as a new method to perform inference when the number of groups is small.
Vikström, Johan
core
Model-based adaptive cluster sampling
, 2016 Adaptive cluster sampling is useful for exploring populations of rare plant and animal species which cluster together because it allows sampling effort to be concentrated in areas where observed values are high.
Rapley, V E, Welsh, Alan
core +1 more source
Development of Sequential Sampling Plan for Bacterial Leaf Blight of Garlic by Cluster Sampling
Research in Plant Disease, 2015 Bacterial leaf blight caused by Pseudomonas syringae pv. porri is one of the major bacterial diseases of garlic (Allium sativum). In South Korea, the disease has only been observed in garlic-growing regions of Jeju island.
Jeong Heub Song +3 more
doaj +1 more source