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With the incredible potential of gene transfer into hematopoietic stem cells, active research in this field has become critically important. In Genetic Modification of Hematopoietic Stem Cells: Methods and Protocols, leading scientists in the field provide a compendium of protocols which cover the subject comprehensively, from the purification and culture of various types of hematopoietic cells for subsequent genetic modification by vector development and technical issues of small and large scale vector production, to the complex issue of monitoring and biosafety studies related to gene-modified hematopoiesis. Written in the highly successful Methods in Molecular Biology™ series format, the chapters in this volume present brief introductions to the topic, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and Notes sections, which allow the experts to highlight tips on troubleshooting and avoiding known pitfalls. Unique and cutting-edge, Genetic Modification of Hematopoietic Stem Cells: Methods and Protocols is an ideal, thorough resource to promote further research and the implementation of investigator-driven clinical studies using gene-modified hematopoietic cells.
Biochemistry. --- Cytology. --- Stem cells. --- Gene therapy. --- Biochemistry, general. --- Cell Biology. --- Stem Cells. --- Gene Therapy. --- Cell biology --- Cellular biology --- Biology --- Cells --- Cytologists --- Colony-forming units (Cells) --- Mother cells --- Progenitor cells --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Therapy, Gene --- Genetic engineering --- Therapeutics --- Composition
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Quantitative methods (economics) --- Programming --- Mathematical statistics --- Econometrics --- Computer programs. --- Stata. --- Computer programs --- Stata --- Dataprocessing. --- Econometrie. --- Software. --- Econométrie --- Logiciels --- AA / International- internationaal --- 303.0 --- 303.8 --- -519.5 --- Economics, Mathematical --- Statistics --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Econometrische behandeling van een onderwerp. --- Econométrie --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Econometrische behandeling van een onderwerp --- Econometrics - Computer programs --- Analyse de données --- Séries temporelles --- Programme informatique (STATA) --- -Computer programs
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"The second edition of this book contains several new recipes illustrating how do-files, ado-files, and Mata functions can be used to solve programming problems. Several recipes have also been updated to reflect new features in Stata added between versions 10 and 14. The discussion of maximum-likelihood function evaluators has been significantly expanded in this edition. The new topics covered in this edition include factor variables and operatores; use of margins, marginsplot, and suest; Mata-based likelihood function evaluators; and associative arrays."--Preface.
Quantitative methods in social research --- Mathematical statistics --- Programming --- Social sciences --- Statistics --- Statistique --- Statistical methods --- Computer programs. --- Computer programs --- Logiciels. --- Stata
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Quantitative methods in social research --- Mathematical statistics --- Programming --- Social sciences --- Statistics --- 519.5 --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical methods&delete& --- Computer programs --- Stata --- Computer programs.
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Environmental economics --- Économie de l'environnement --- Environmental economics --- Econometric models. --- Modèles économétriques --- Econometric models. --- Stata. --- Stata.
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This is a report on the results of a research project, sponsored by the NBER's Program on Financial Markets and Monetary Economics, which involves the collection and organization of income account and balance sheet data, at the firm level, for the years 1926-77. The primary data source for the study is Moody's Industrial Manual. Working at the firm level, it is possible to obtain accurate information on the market values of traded securities.This paper presents and discusses some of the aggregate characteristics of the dataset and also reports the results of estimating a simple portfolio model which attempts to explain changes in firm balance sheet flows for the periods 1927-35 and 1965-77.The data collected for the study, as well as software necessary to manage them efficiently, are available from the authors. An NBER Technical Paper will shortly be available to describe the dataset and software in detail.
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This entry discusses dynamic panel data (DPD) models: A set of econometric methods widely used to analyze the behavior of firms, households, or countries over a period of time. These models' dynamic nature refers to the notion that the units being observed are adjusting along a trajectory, so that their outcome at a point in time is related to its previous value as well as other relevant factors. The most common method of DPD modeling, the Arellano-Bond method employing the generalized method of moments estimation technique, is described, and its empirical implementation illustrated in the context of the Stata statistical programming language.
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