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Lack of appropriate data has hampered an examination of these relationships.
In fact, changes in fertility before 1940 and between 1950 and 1960 remain largely unexplored due to the lack of appropriate data.
One of the biggest challenges for studying gradual change will be the lack of appropriate data for validating results and products.
Whether raising the price of addictive goods can reduce its burden is widely debated in many countries, largely due to lack of appropriate data and robust methods.
While in most candidate cases found in the literature, lack of appropriate data prevents a detailed application and parameterization of the model for specific biological systems, there is one example where it is presently possible.
Studying the timing of fertility with reference to the date of migration in England and Wales has been difficult because of the hitherto lack of appropriate data sources which contain both information on date of arrival and fertility histories.
Similar(22)
Lack of the appropriate data probably influenced the apparently low achievement of the 62-day target, with only 61% (20 of 33) of hospitals achieving it for all patients, compared with 93% (66/71) for the 31-day target.
Due to a lack of appropriate empirical data, this also commonly goes along with the formulation of assumptions ('Assumptions for data modification').
Lack of appropriate historical data has seriously impeded research into the extent and effects of deforestation in arid lands, but the declassification of corona satellite images has now made it possible to study long-term changes in arboreal vegetation.
Validation of in vivo medical imaging techniques is often challenging due to the lack of appropriate reference data and the validation method may lack an appropriate reference.
This paper shows that validation of in vivo medical imaging techniques and image processing algorithms is challenging partially due to the lack of appropriate reference data.
More suggestions(12)
lack of appropriate views
lack of appropriate textbooks
lack of disaggregated data
lack of appropriate skills
lack of appropriate credentials
lack of appropriate incentives
lack of appropriate tools
lack of appropriate benefits
lack of appropriate resources
lack of appropriate facilities
lack of relevant data
lack of accurate data
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com