Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology
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Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology
Summary
Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology is a doctoral thesis[1].
Key Facts
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology authored Arata Hidano[2].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's instance of is recorded as doctoral thesis[3].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's publisher is recorded as Massey Research Online[4].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's language of work or name is recorded as English[5].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's country of origin is recorded as New Zealand[6].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's publication date is recorded as +2018-00-00T00:00:00Z[7].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's main subject is recorded as New Zealand[8].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's main subject is recorded as genetics[9].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's main subject is recorded as data processing[10].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's main subject is recorded as dairy cattle[11].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's main subject is recorded as epizootiology[12].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's Handle ID is recorded as 10179/15261[13].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's title is recorded as Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology[14].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's copyright holder is recorded as Arata Hidano[15].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's thesis submitted to is recorded as Massey University[16].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's on focus list of Wikimedia project is recorded as NZThesisProject[17].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's copyright status is recorded as copyrighted[18].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's thesis committee member is recorded as Carolyn Gates[19].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's thesis committee member is recorded as Tim Carpenter[20].
- Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's thesis committee member is recorded as Mark Stevenson[21].
Body
Designation and Status
Optimising the use of new data streams for making epidemiological inferences in veterinary epidemiology's instance of is recorded as doctoral thesis[3].