02644nam 2200553 450 991049521970332120230712123301.03-030-75464-210.1007/978-3-030-75464-8(CKB)4100000011994725(DE-He213)978-3-030-75464-8(MiAaPQ)EBC6689044(Au-PeEL)EBL6689044(PPN)257351124(EXLCZ)99410000001199472520220415d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierMethods in epidemiology population size estimation /edited by George Rutherford1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (VII, 72 p. 3 illus., 1 illus. in color.)Advances in Experimental Medicine and Biology ;13333-030-75463-4 Review of size estimation methods -- Methods to estimate the average social network size -- Estimating the size of hidden groups -- Data smoothing, extrapolation, and triangulation.This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups. The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.Advances in experimental medicine and biology (Internet) ;1333.EpidemiologyBiomathematicsEpidemiologiathubBiomatemàticathubLlibres electrònicsthubEpidemiology.Biomathematics.EpidemiologiaBiomatemàtica614.4Rutherford George1222048MiAaPQMiAaPQMiAaPQBOOK9910495219703321Methods in epidemiology2834121UNINA