Methods to increase response to postal and electronic questionnaires
PJ Edwards, I Roberts, MJ Clarke… - Cochrane database …, 2023 - cochranelibrary.com
Background Self‐administered questionnaires are widely used to collect data in
epidemiological research, but non‐response reduces the effective sample size and can …
epidemiological research, but non‐response reduces the effective sample size and can …
Survey strategies to increase participant response rates in primary care research studies
Understanding and measuring primary care provider and patient knowledge, attitudes,
behaviours, practices and views on health care issues are critical to improving health and …
behaviours, practices and views on health care issues are critical to improving health and …
[图书][B] Evaluation in organizations: A systematic approach to enhancing learning, performance, and change
D Russ-Eft, H Preskill, JB Jordan - 2024 - books.google.com
Take control of your resources and get the most out of your work with this helpful guide to
organization and productivity From new product launches to large-scale training initiatives …
organization and productivity From new product launches to large-scale training initiatives …
Factors affecting response rates of the web survey with teachers
Although web survey has been a popular method of data collection in the academic
community, it presents meagre response rates, which primarily affect the validity of the …
community, it presents meagre response rates, which primarily affect the validity of the …
Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions
B Garcia Santa Cruz, A Husch, F Hertel - Frontiers in Aging …, 2023 - frontiersin.org
Parkinson's disease (PD) is a progressive and complex neurodegenerative disorder
associated with age that affects motor and cognitive functions. As there is currently no cure …
associated with age that affects motor and cognitive functions. As there is currently no cure …
Fairness-aware machine learning engineering: how far are we?
Abstract Machine learning is part of the daily life of people and companies worldwide.
Unfortunately, bias in machine learning algorithms risks unfairly influencing the decision …
Unfortunately, bias in machine learning algorithms risks unfairly influencing the decision …
Fear of cancer recurrence therapy (FORT): A randomized controlled trial.
Abstract [Correction Notice: An Erratum for this article was reported online in Health
Psychology on Jul 13 2023 (see record 2023-86313-001). In the original article, in Table 2 …
Psychology on Jul 13 2023 (see record 2023-86313-001). In the original article, in Table 2 …
Mapping Strategies for Reaching Socioeconomically Disadvantaged Populations in Clinical Trials
MI Florez, E Botto, JY Kim - JAMA Network Open, 2024 - jamanetwork.com
Importance Socioeconomically disadvantaged patients, such as persons with low income
and those with low educational attainment, are less likely to participate in clinical trials than …
and those with low educational attainment, are less likely to participate in clinical trials than …
Assessing and improving on-farm biosecurity knowledge and practices among swine producers and veterinarians through online surveys and an educational website …
There is a growing risk to the health and productivity of the Illinois and United States swine
population from foreign and endemic infectious diseases. Effective on-farm biosecurity …
population from foreign and endemic infectious diseases. Effective on-farm biosecurity …
Automated sleep scoring system using multi-channel data and machine learning
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …