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020			_a1-597-18076-9
040			_cIZA
100			_aMitchell, Michael N. _94186
245		0	_aData Management Using Stata: A Practical Handbook
260			_c2010 _bStata Press, _aCollege Station, Tex.,
300			_a387 pages
340			_hC8 135
520			_aMichael N. Mitchell’s Data Management Using Stata comprehensively covers data-management tasks, from those a beginning statistician would need to those hard-to-verbalize tasks that can confound an experienced user. Mitchell does this all in simple language with illustrative examples. The book is modular in structure, with modules based on data-management tasks rather than on clusters of commands. This format is helpful because it allows readers to find just what they need to solve a problem at hand. To complement this format, the book is in a style that will teach even sporadic readers good habits in data management, even if the reader chooses to read chapters out of order. Throughout the book, Mitchell subtly emphasizes the absolute necessity of reproducibility and an audit trail. Instead of stressing programming esoterica, Mitchell reinforces simple habits and points out the time-savings gained by being careful. Mitchell’s experience in UCLA’s Academic Technology Services clearly drives much of his advice. Mitchell includes advice for those who would like to learn to write their own data-management Stata commands. Even experienced users will learn new tricks and new ways to approach data-management problems. This is a great book—thoroughly recommended for anyone interested in data management using Stata.
650			_adata analysis _91118
650			_aStata _9958
655			_ahandbook _935
856			_uhttps://www.stata.com/bookstore/data-management-using-stata/ _yPublisher's website
942			_cIT _2ddc