Results 41 to 50 of about 1,249,672 (297)

What Happened to the Participants of the Math Olympiad 1971? A Multiple-Case Study Concerning the Occupational Success of the Winning Team from Hungary, Math Olympiad–Occupational Success

open access: yesJournal of Intelligence, 2019
The aim of this multiple-case study was to find out how the most successful team of the 1971 Mathematical Olympiad in Hungary developed professionally.
Benedikt Gasser
doaj   +1 more source

Rainfall modeling for integrating radar information into hydrological model [PDF]

open access: yes, 2005
A spatial rainfall model was applied to radar data of air mass thunderstorms to yield a rainstorm representation as a set of convective rain cells. The modeled rainfall was used as input into hydrological model, instead of the standard radar-grid data ...
Carpenter   +17 more
core   +2 more sources

Using data linkage to monitor COVID-19 vaccination

open access: yesInternational Journal of Population Data Science, 2022
The COVID-19 Vaccination Linked Data Repository (CVLDR) was established in 2021 to assist with the implementation and management of the COVID-19 vaccination program in the State of Western Australia (WA).
Tom Eitelhuber   +4 more
doaj   +1 more source

The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem [PDF]

open access: yes, 2016
Several important and fundamental aspects of disease genetics models have yet to be described. One such property is the relationship of disease association statistics at a marker site closely linked to a disease causing site.
Bansal, Naveen K.   +8 more
core   +3 more sources

Ethnicity and the ethics of data linkage [PDF]

open access: yesBMC Public Health, 2007
Linking health data with census data on ethnicity has potential benefits for the health of ethnic minority groups. Ethical objections to linking these data however include concerns about informed consent and the possibility of the findings being misused against the interests of ethnic minority groups. While consent concerns may be allayed by procedures
openaire   +3 more sources

Thirty-three myths and misconceptions about population data: from data capture and processing to linkage

open access: yesInternational Journal of Population Data Science, 2023
Databases covering all individuals of a population are increasingly used for research and decision-making. The massive size of such databases is often mistaken as a guarantee for valid inferences.
Peter Christen, Rainer Schnell
doaj   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

Avoiding the Peak of Inflated Expectations: Common Misconceptions in Population Data Research.

open access: yesInternational Journal of Population Data Science, 2022
Objectives Databases covering full populations are increasingly used for research studies. Their massive size is often mistaken as a guarantee for valid inferences on the population of interest.
Peter Christen, Rainer Schnell
doaj   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

Exploring Goldstein et al.’s Scalelink method of data linkage.

open access: yesInternational Journal of Population Data Science, 2022
Objectives Scalelink is an innovative probabilistic data linkage method based on correspondence analysis. Unlike the popular and widely-used Fellegi-Sunter algorithm, it does not assume linkage variable independence.
Mary Ann Megan Cleaton   +2 more
doaj   +1 more source

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