Studying seasonality by using sine and cosine functions in regression analysis.
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Temperature-dependent transmission of rotavirus in Great Britain and The NetherlandsMedicaid prescription limits: policy trends and comparative impact on utilization.Ambient air pollution, lung function, and airway responsiveness in asthmatic childrenEffect of Calf Gender on Milk Yield and Fatty Acid Content in Holstein Dairy CowsThe effect of systematic clinical interventions with cigarette smokers on quit status and the rates of smoking-related primary care office visitsEffects of the El Niño-southern oscillation on dengue epidemics in Thailand, 1996-2005.Impact of rotavirus vaccine introduction and post-introduction etiology of diarrhea requiring hospital admission in Haydom, Tanzania, a rural African setting.Epidemiology and Impact of Campylobacter Infection in Children in 8 Low-Resource Settings: Results From the MAL-ED Study.Epidemiology, Seasonality and Factors Associated with Rotavirus Infection among Children with Moderate-to-Severe Diarrhea in Rural Western Kenya, 2008-2012: The Global Enteric Multicenter Study (GEMS)Seasonality of congenital anomalies in Europe.Child mortality patterns in rural Tanzania: an observational study on the impact of malaria control interventions.Observational bias during nutrition surveillance: results of a mixed longitudinal and cross-sectional data collection system in Northern Nigeria.Do intensive care data on respiratory infections reflect influenza epidemics?Modelling heterogeneity in malaria transmission using large sparse spatio-temporal entomological data.Fixed effects modelling for provider mortality outcomes: Analysis of the Australia and New Zealand Intensive Care Society (ANZICS) Adult Patient Data-baseBayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data: an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso.A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data.Prospective Measurement of Daily Health Behaviors: Modeling Temporal Patterns in Missing Data, Sexual Behavior, and Substance Use in an Online Daily Diary Study of Gay and Bisexual Men.Assessing prescription drug abuse using functional principal component analysis (FPCA) of wastewater data.Identifying unusual performance in Australian and New Zealand intensive care units from 2000 to 2010.The role of imported cases and favorable meteorological conditions in the onset of dengue epidemics.An instrument for the assessment of diarrhoeal severity based on a longitudinal community-based studyA longitudinal study of medicaid coverage for tobacco dependence treatments in Massachusetts and associated decreases in hospitalizations for cardiovascular disease.Effect of weather variability on the incidence of mumps in children: a time-series analysis.Infant Nutritional Status, Feeding Practices, Enteropathogen Exposure, Socioeconomic Status, and Illness Are Associated with Gut Barrier Function As Assessed by the Lactulose Mannitol Test in the MAL-ED Birth Cohort.Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study.Comparison of regression methods for modeling intensive care length of stay.The Circadian Clock Modulates Global Daily Cycles of mRNA Ribosome Loading.Seasonal variation of overall and cardiovascular mortality: a study in 19 countries from different geographic locations.Typhoid Fever and its association with environmental factors in the Dhaka Metropolitan Area of Bangladesh: a spatial and time-series approachSymptomatic and asymptomatic Campylobacter infections associated with reduced growth in Peruvian children.Effect on road traffic injuries of criminalizing road traffic offences: a time-series study.The use of quantile regression to forecast higher than expected respiratory deaths in a daily time series: a study of New York City data 1987-2000.Comparison of Respiratory Disease Prevalence among Voluntary Monitoring Systems for Pig Health and Welfare in the UK.Seasonal effects on gene expression.The estimated incidence of pertussis in people aged 50 years old in the United States, 2006-2010.Implications for Welfare, Productivity and Sustainability of the Variation in Reported Levels of Mortality for Laying Hen Flocks Kept in Different Housing Systems: A Meta-Analysis of Ten StudiesMycobacterium ulcerans dynamics in aquatic ecosystems are driven by a complex interplay of abiotic and biotic factors.Identifying seasonal and temporal trends in the pressures experienced by hospitals related to unscheduled careMother-male bond, but not paternity, influences male-infant affiliation in wild crested macaques
P2860
Q24618093-19993DF7-DB10-4970-8F94-008260213482Q27306989-EF46CCC7-4EFE-4CF2-98C6-8B2762B47ECEQ28386006-AF590D7C-D944-4ECA-8ADF-D62016670F93Q28469498-36AED0AD-E1C4-4693-A3A8-168D8756894DQ28728865-B3620962-E55D-470C-9656-F13B7C063CCFQ30227423-A269FBBE-5357-410B-87C8-EE4079126813Q30252225-037AD365-7376-4298-B7DF-3A5D1D3EC35DQ30276167-5CFBDB34-C64C-4BCA-A52D-661EC80F6268Q30276185-4B9BE170-766F-4DD8-81BE-F88BF34A78D6Q30360301-0EB89A31-DA9B-40BE-BE39-2055F7513F64Q30392139-3185DD7C-4DAB-43B5-91A1-FDDAAEA01874Q30625774-ECCDC435-0F30-4238-8CA1-D3F50CECC187Q30726454-B1DF6F59-6421-4E15-9FC5-4F8D62022B88Q30833356-B6AE7A13-807E-4EF9-923B-AB2732C48173Q30836741-688EF8D4-0FE4-4A37-A7AF-C94C384F59A2Q30936422-680AF806-9FCA-4066-B520-C1F0C78411C4Q31034192-3E7EE73F-E90A-45E3-994B-37CDEEEF32B3Q31060668-73D47AA7-065A-4796-B356-ABB03BA29D34Q31143254-08D282BF-6058-43D9-997F-DD8FF3E64998Q33611840-67F60E04-2B97-43C8-BC37-81CBDE66CD57Q33651113-2FFD5653-9B2A-4F68-BE81-723EE6DECCD0Q33744811-204E02F8-C09A-4F56-BE78-DBC420876CDAQ33775530-677B3DE9-5B94-4F0D-8E79-694B919D5253Q33787559-745F9B67-8385-4E70-A49F-51EA038F622CQ33901797-95CD232E-9051-4152-88CD-BB139F1865D6Q34244247-A081D326-5B14-4BD5-8911-8DB219C65DD5Q34434024-ED0E2A8F-2B97-45B9-A618-0F9E95B8A639Q34495162-54530BB3-13C5-4F42-BF55-CECD3D55FAE2Q34566238-8945FC17-2012-4325-BAA8-3936DA9C7014Q34566618-CE1B9593-48FC-41FD-8F2A-FB9C888832C8Q34577254-5A4CBB62-DC73-4341-8845-FE69202F1225Q34997622-D636CDE1-34D6-480D-A9D0-8D44C55B9AEDQ35023552-56C411F4-8219-428B-BA68-4CAB7AD76455Q35644772-1FEC9DAF-D885-4FF4-B1E8-96B02EB854F1Q35645952-A3120B65-1F10-4AEA-839B-6E9EC4A3DBC1Q35846238-9B51E86D-BDA8-4FD5-AAD7-D6C458C2A60AQ35886550-21E1129F-DE62-4DC7-B910-690811B90E31Q35890641-2E10D724-F077-464E-AE92-EA4E998EDB5AQ36086599-BC3EDF90-C944-4A43-8D16-D18FC4528EDDQ36091392-E46F4789-039C-4EB3-8FF5-52B5E84E1FAD
P2860
Studying seasonality by using sine and cosine functions in regression analysis.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
Studying seasonality by using sine and cosine functions in regression analysis.
@en
Studying seasonality by using sine and cosine functions in regression analysis.
@nl
type
label
Studying seasonality by using sine and cosine functions in regression analysis.
@en
Studying seasonality by using sine and cosine functions in regression analysis.
@nl
prefLabel
Studying seasonality by using sine and cosine functions in regression analysis.
@en
Studying seasonality by using sine and cosine functions in regression analysis.
@nl
P2093
P2860
P356
P1476
Studying seasonality by using sine and cosine functions in regression analysis.
@en
P2093
Stolwijk AM
Straatman H
Zielhuis GA
P2860
P304
P356
10.1136/JECH.53.4.235
P407
P577
1999-04-01T00:00:00Z