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From case counts to probability sampling: Simulation insights into pandemic surveillance [PDF]
Public Health in PracticeObjectives: To identify data strategies that ensure valid epidemic surveillance across different prevalence levels. Study design: A simulation study using realistic microdata from the German MikroSim project, reflecting the demographic structure of two ...
Inken Siems, Ralf Münnich
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Critical Analysis of Sampling Designs in Human Geography Research by Focusing on Selection Bias in Probability Samples [PDF]
تحقيقات جغرافيايی, 2018 Using of words " probability and random" has such a special meaning and in research sampling method from the point of view of research method principles, it means respecting the principles and rules of sampling theory and lack of selection bias in ...
Masoud Safaei Pour +1 more
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Probability and Sampling in Dentistry
, 2022 Probability and sampling in dentistry are two fundamentals which have great importance in clinical research. Many research works in dentistry shows lack of proper understanding and use of these two factors. The definition of probability is incredibly significant in daily life. Statistical analysis is based on this particularly useful definition.
Yasser Riaz Malik +2 more
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Why weight? Analytic approaches for large-scale population neuroscience data
Developmental Cognitive Neuroscience, 2023 Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data.
Arianna M. Gard +4 more
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Survey Response in RDD-Sampling SMS-Invitation Web-Push Study
Survey Research Methods, 2022 In this study, I tested a fairly new survey data collection approach, using random digit dialing (RDD) selection of mobile phone numbers combined with SMS invitations, with respondents asked to complete the survey online.
Sebastian Kocar
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Use of ‘Sampling’ Technique in Urdu Research: An Analysis
دریافت, 2023 Sampling is an important technique used in the modern research in social sciences. The technique covers a large kinds of research with ease. Its main kinds are probability and non-probability sampling, and both are used in research to draw reliable and ...
Dr. Muhammad Hamid, Dr. Salma Aslam
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Vaccines, 2022 Seroprevalence studies provide an accurate measure of SARS-CoV-2 spread at a population level and the number of undiagnosed individuals. Repeated cross-sectional sero-studies are encouraged to monitor the spread of the virus.
Faisal Awartani +2 more
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Remote Sensing, 2020 The spatial and temporal dynamics of the forest cover can be captured using remote sensing data. Forest masks are a valuable tool to monitor forest characteristics, such as biomass, deforestation, health condition and disturbances. This study was carried
Angel Fernandez-Carrillo +4 more
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Deep Metric Learning Using Negative Sampling Probability Annealing
Sensors, 2022 Multiple studies have concluded that the selection of input samples is key for deep metric learning. For triplet networks, the selection of the anchor, positive, and negative pairs is referred to as triplet mining.
Gábor Kertész
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Goal-oriented adaptive sampling under random field modelling of response probability distributions [PDF]
ESAIM: Proceedings and Surveys, 2021 In the study of natural and artificial complex systems, responses that are not completely determined by the considered decision variables are commonly modelled probabilistically, resulting in response distributions varying across decision space.
Gautier Athénaïs +2 more
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