Lingua: Inglese
Editore: Southern African Migration Programme, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Southern African Migration Programme, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condizione: Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Southern African Migration Programme, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condizione: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Southern African Migration, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Lingua: Inglese
Editore: Southern African Migration Programme, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 33,84
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 31,51
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Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 31,67
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Southern African Migration, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 30,90
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Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 30,89
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Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 35,42
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Southern African Migration, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 47,38
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Southern African Migration, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 77,37
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Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Lingua: Inglese
Editore: Southern African Migration, 2017
ISBN 10: 192059728X ISBN 13: 9781920597283
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 88,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Southern African Migration Programme, 2019
ISBN 10: 1920597395 ISBN 13: 9781920597399
Da: Rarewaves.com UK, London, Regno Unito
EUR 30,90
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Buchpark, Trebbin, Germania
EUR 21,26
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This is the first research report to examine the nature and drivers of food insecurity in the northern Namibian towns of Oshakati, Ongwediva, and Ondangwa. As well as forming part of a new body of research on secondary urbanization and food security in Africa, the report makes systematic comparisons between the food security situation in this urban corridor and the much larger capital city of Windhoek. A major characteristic of urbanization in Namibia is the perpetuation of rural-urban linkages through informal rural-to-urban food remittances. This survey found that 55% of households in the three towns receive food from relatives in rural areas. Urban households also farm in nearby rural areas and incorporate that agricultural produce into their diets. The survey showed that over 90% of households in the three towns patronize supermarkets, which is a figure far higher than for any other food source. Overall, food security is better in Namibia's northern towns than in Windhoek, where levels of food insecurity are particularly high. However, just because the food insecurity situation is less critical in the north, the majority of households in the urban corridor are not food secure. Like Windhoek, these towns also have considerable income and food security inequality, with households in the informal settlements at greatest risk of chronic food insecurity.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 186,02
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Nova Science Publishers, Inc, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 194,44
Quantità: 2 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers, Inc, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 195,72
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, US, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 216,87
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. In order to assist a hospital in managing its resources and patients, modelling the length of stay is highly important. Recent health scholarship and practice has largely remained empirical, dwelling on primary data. This is critically important, first, because health planners generally rely on data to establish trends and patterns of disease burden at national or regional level. Secondly, epidemiologists depend on data to investigate possible risk factors of the disease. Yet the use of routine or secondary data has, in recent years, proved increasingly significant in such endeavours. Various units within the health systems collected such data primarily as part of the process for surveillance, monitoring and evaluation. Such data is sometimes periodically supplemented by population-based sample survey datasets. Thirdly, coupled with statistical tools, public health professionals are able to analyze health data and breathe life into what may turn out to be meaningless data. The main focus of this book is to present and showcase advanced modelling of routine or secondary survey data. Studies demonstrate that statistical literacy and knowledge are needed to understand health research outputs. The advent of user-friendly statistical packages combined with computing power and widespread availability of public health data resulted in more reported epidemiological studies in literature. However, analysis of secondary data, has some unique challenges. These are most widely reported health literature, so far has failed to recognize resulting in inappropriate analysis, and erroneous conclusions. This book presents the application of advanced statistical techniques to real examples emanating from routine or secondary survey data. These are essentially datasets in which the two editors have been involved, demonstrating how to tackle these challenges. Some of these challenges are: the complex sampling design of the surveys, the hierarchical nature of the data, the dependence of data at the sampled cluster and missing data among many more challenges. Using data from the Health Management Information System (HMIS), and Demographic and Health Survey (DHS), we provide various approaches and techniques of dealing with data complexity, how to handle correlated or clustered data. Each chapter presents an example code, which can be used to analyze similar data in R, Stata or SPSS. To make the book more concise, we have provided the codes on the book's website. The book considers four main topics in the field of health sciences research: (i) structural equation modeling; (ii) spatial and spatio-temporal modeling; (iii) correlated or clustered copula modeling; and (iv) survival analysis. The book has potential to impact methodologists, including students undertaking Master's or Doctoral level programmes as well as other researchers seeking some related reference on quantitative analysis in public health or health sciences or other areas where data of similar nature wou.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 203,98
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Nova Science Publishers, Inc, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: Gazelle Books, Lancaster, LANCA, Regno Unito
EUR 182,46
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. New Book, Direct from Publisher.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: moluna, Greven, Germania
EUR 193,44
Quantità: 2 disponibili
Aggiungi al carrelloEinband - fest (Hardcover). Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers, Inc, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, US, 2019
ISBN 10: 1536159816 ISBN 13: 9781536159813
Da: Rarewaves.com UK, London, Regno Unito
EUR 205,86
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. In order to assist a hospital in managing its resources and patients, modelling the length of stay is highly important. Recent health scholarship and practice has largely remained empirical, dwelling on primary data. This is critically important, first, because health planners generally rely on data to establish trends and patterns of disease burden at national or regional level. Secondly, epidemiologists depend on data to investigate possible risk factors of the disease. Yet the use of routine or secondary data has, in recent years, proved increasingly significant in such endeavours. Various units within the health systems collected such data primarily as part of the process for surveillance, monitoring and evaluation. Such data is sometimes periodically supplemented by population-based sample survey datasets. Thirdly, coupled with statistical tools, public health professionals are able to analyze health data and breathe life into what may turn out to be meaningless data. The main focus of this book is to present and showcase advanced modelling of routine or secondary survey data. Studies demonstrate that statistical literacy and knowledge are needed to understand health research outputs. The advent of user-friendly statistical packages combined with computing power and widespread availability of public health data resulted in more reported epidemiological studies in literature. However, analysis of secondary data, has some unique challenges. These are most widely reported health literature, so far has failed to recognize resulting in inappropriate analysis, and erroneous conclusions. This book presents the application of advanced statistical techniques to real examples emanating from routine or secondary survey data. These are essentially datasets in which the two editors have been involved, demonstrating how to tackle these challenges. Some of these challenges are: the complex sampling design of the surveys, the hierarchical nature of the data, the dependence of data at the sampled cluster and missing data among many more challenges. Using data from the Health Management Information System (HMIS), and Demographic and Health Survey (DHS), we provide various approaches and techniques of dealing with data complexity, how to handle correlated or clustered data. Each chapter presents an example code, which can be used to analyze similar data in R, Stata or SPSS. To make the book more concise, we have provided the codes on the book's website. The book considers four main topics in the field of health sciences research: (i) structural equation modeling; (ii) spatial and spatio-temporal modeling; (iii) correlated or clustered copula modeling; and (iv) survival analysis. The book has potential to impact methodologists, including students undertaking Master's or Doctoral level programmes as well as other researchers seeking some related reference on quantitative analysis in public health or health sciences or other areas where data of similar nature wou.