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BDSP5 Thésaurus > Etudes méthodes et statistiques [NI] > Méthodologie > Statistique > Estimation
EstimationVoir aussi |
Documents disponibles dans cette catégorie (550)
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Alison-G ABRAHAM ; Constance BENSON ; Ron BOSCH ; Ann COLLIER ; Steven DEEKS ; Joseph ERON ; Stephen-J GANGE ; Kelly GEBO ; Mjohn GILL ; James GOEDERT ; Richard HARRIGAN ; Robert HOGG ; Michael HORBERG ; Lisa JACOBSON ; . JINBING ZHANG ; Amy JUSTICE ; Greg KIRK ; Mari KITAHATA ; Marina Klein ; Bryan LAU ; Jeff Martin ; Rosemary MCKAIG ; Richard-D MOORE ; Sonia NAPRAVNIK ; Anita RACHLIS ; Benigno Rodriguez ; Sean ROURKE ; Michael SILVERBERG ; Timothy STERLING ; Jennifer THORNE ; James WILLIG ; North American Aids Cohort Collaboration on Research and Design of the International Epidemiologic Databases to Evaluate Aids. INC |[BDSP. Notice produite par INIST-CNRS 9R0xEDI8. Diffusion soumise à autorisation]. Determination of the prevalence of accumulated antiretroviral drug resistance among persons infected with human immunodeficiency virus (HIV) is complicated by the[...]Ouvrage
The flexibility of projection methods have made them useful also for the analysis and modelling of messy and complicated data; these methods are increasingly used in a wide range of industrial ap[...]
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Article
COSTA (Marcelo-A) : BRA. Department of Statistics. Universidade Federal de Minas Gerais. Belo Horizonte. ; Jonathan-A Finkelstein ; HUANG (Susan-S) : USA. Division of Infectious Diseases and Health Policy Research Institute. School of Medicine. University of California. Irvine. Irvine. CA. ; Martin KULLDORFF ; MOORE (Matthew) : USA. Respiratory Diseases Branch. Centers for Disease Control and Prevention. Atlanta. GA. |[BDSP. Notice produite par INIST-CNRS R0xjHDmA. Diffusion soumise à autorisation]. National infectious disease incidence rates are often estimated by standardizing locally derived rates using national-level age and race distributions. Data on ot[...]Article
DONKER (Tjibbe) : NLD. University Medical Center Groningen. Groningen. ; W. MARIJN VAN BALLEGOOIJEN ; Michiel VAN BOVEN ; Tessa-M VAN'T KLOOSTER ; WALLINGA (Jacco) : NLD. Julius Center for Health Sciences and Primary Care. University Medical Center Utrecht. Utrecht. ; WIELDERS (Cornelia-C) : NLD. Pallas Health Research and Consultancy. Rotterdam. ; National Institute for Public Health and the Environment. BA Bilthoven. NLD |[BDSP. Notice produite par INIST-CNRS 79HR0xkD. Diffusion soumise à autorisation]. During emerging epidemics of infectious diseases, it is vital to have up-to-date information on epidemic trends, such as incidence or health care demand, because [...]Article
[BDSP. Notice produite par INIST-CNRS l7I8HR0x. Diffusion soumise à autorisation]. Obesity prevalence among inmates in the United States is unknown. Since incarceration disproportionately affects minorities, excluding inmates from surveys may bi[...]Article
Lisa-N YELLAND ; Philip RYAN ; Amy-B SALTER ; Discipline of Public Health. The University of Adelaide. Adelaide. AUS |[BDSP. Notice produite par INIST-CNRS R0xDFFk8. Diffusion soumise à autorisation]. Modified Poisson regression, which combines a log Poisson regression model with robust variance estimation, is a useful alternative to log binomial regression for[...]Article
JENNESS (Samuel-M) : USA. Current affiliation University of Washington. Department of Epidemiology. Seattle. WA. ; GELPI-ACOSTA (Camila) : USA. National Development and Research Institutes. Inc. New York. NY. ; HAGAN (Holly) : USA. New York University College of Nursing. New York. NY. ; Christopher-S MURRILL ; Alan NEAIGUS ; WENDEL (Travis) : USA. John Jay College of Criminal Justice. New York. NY. |[BDSP. Notice produite par INIST-CNRS DqR0x8s9. Diffusion soumise à autorisation]. Objectives. We investigated the impact of recruitment bias within the venue-based sampling (VBS) method, which is widely used to estimate disease prevalence and r[...]Article
Michal ABRAHAMOWICZ ; Marie-Eve Beauchamp ; DELANEY (Joseph-Ac) : USA. College of Pharmacy. University of Florida. Gainesville. FL. ; Raluca IONESCU-ITTU ; PILOTE (Louise) : CAN. Division of Internal Medicine. McGill University Health Center and McGill University. Montreal. PQ. ; Department of Epidemiology. Biostatistics and Occupational Health. Faculty of Medicine. McGill University. Montreal. PQ. CAN ; Division of Clinical Epidemiology. McGill University Health Center. Montreal. PQ. CAN |[BDSP. Notice produite par INIST-CNRS G8R0x9D9. Diffusion soumise à autorisation]. Instrumental variable (IV) methods based on the physician's prescribing preference may remove bias due to unobserved confounding in pharmacoepidemiologic studies.[...]Article
Costanza PIZZI ; BELLOCCO (Rino) : ITA. Department of Statistics. University of Milano Bicocca. Milan. ; Bianca DE STAVOLA ; DOS SANTOS SILVA (Isabel) : GBR. Department of Non-communicable Disease Epidemiology. London School of Hygiene & Tropical Medicine. London. ; Franco MERLETTI ; PEARCE (Neil) : NZL. Centre for Public Health Research. Massey University Wellington Campus. ; Lorenzo RICHIARDI ; Cancer Epidemiology Unit. CeRms and Cpo-Piemonte. University of Turin. ITA ; Department of Medical Statistics. London School of Hygiene and Tropical Medicine. London. GBR |[BDSP. Notice produite par INIST-CNRS E9R0x877. Diffusion soumise à autorisation]. Background Participants in cohort studies are frequently selected from restricted source populations. It has been recognised that such restriction may affect the [...]Article
Rianne DE GELDER ; Harry-J DE KONING ; Gerrit DRAISMA ; Jacques FRACHEBOUD ; HARRIS (Russell) : USA. Cecil G Sheps Center for Health Services Research. University of North Carolina at Chapel Hill. Chapel Hill. NC. ; Eveline-Am HEIJNSDIJK ; Nicolien-T VAN RAVESTEYN |[BDSP. Notice produite par INIST-CNRS lR0x87FH. Diffusion soumise à autorisation].Article
RAJAN (Suja-S) : USA. University of North Carolina at Chapel Hill. Chapel Hill. NC. ; SOKAL (David) : USA. Family Health International. Durham. NC. |[BDSP. Notice produite par INIST-CNRS o8R0xnCD. Diffusion soumise à autorisation]. Background HIV incidence estimates are crucial in understanding and predicting the HIV/AIDS epidemic and identifying sub-populations and regions most at risk for [...]Article
Hermann BRENNER ; ALTENHOFEN (Lutz) : DEU. Central Research Institute of Ambulatory Health Care in Germany. Berlin. ; Michael HOFFMEISTER ; KATALINIC (Alexander) : DEU. Institute for Cancer Epidemiology. University of Lübeck. Lübeck. ; LANSDORP-VOGELAAR (Iris) : NLD. Department of Public Health. Erasmus Medical Center. University Medical Center Rotterdam. Rotterdam. |[BDSP. Notice produite par INIST-CNRS pR0xkl8r. Diffusion soumise à autorisation]. The sojourn time of preclinical colorectal cancer is a critical parameter in modeling effectiveness and cost-effectiveness of colorectal cancer screening. For eth[...]Article
WALKER (Kate) : GBR. Department of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. University of London. ; COPAS (Andrew-J) : GBR. Mrc Clinical Trials Unit. London. ; Daniela DE ANGELIS ; Julie-P DODDS ; Anne-M JOHNSON ; Danielle MERCEY ; O. NOEL GILL ; Anne-M PRESANIS ; Shaun-R SEAMAN ; Centre for Sexual Health and Hiv Research. Research Department of Infection & Population Health. University College London. GBR |[BDSP. Notice produite par INIST-CNRS JIR0xk8I. Diffusion soumise à autorisation]. Background Hard-to-reach population subgroups are typically investigated using convenience sampling, which may give biased estimates. Combining information from s[...]Article
Emilie Bérard ; Philippe Amouyel ; Dominique ARVEILER ; Vanina BONGARD ; Dominique COTTEL ; Jean DALLONGEVILLE ; FERRIERES (Jean) : FRA. Department of Cardiology B. Centre Hospitalier Universitaire de Toulouse. Toulouse. ; Bernadette Haas ; Jean-Bernard RUIDAVETS ; Aline WAGNER ; Department of Epidemiology and Public Health. Institut Pasteur de Lille. Inserm U774. Université Lille Nord de France. Lille. FRA ; Department of Epidemiology and Public Health. Strasbourg. FRA ; Department of Epidemiology. Health Economics and Public Health. Umr 558 Inserm. Universite de Toulouse. Centre Hospitalier Universitaire de Toulouse. Toulouse. FRA |[BDSP. Notice produite par INIST-CNRS 8pHR0xII. Diffusion soumise à autorisation]. While assessment of global cardiovascular risk is uniformly recommended for risk factor management, prediction of all-cause death has seldom been considered in av[...]Article
GIBSON (Diane-M) : USA. School of Public Affairs at Baruch College. The City University of New York. |[BDSP. Notice produite par INIST-CNRS 9R0xBJ88. Diffusion soumise à autorisation]. Objectives. I used longitudinal data to consider the relationship between the neighborhood food environment and adult weight status. Methods. I combined individua[...]