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Opere di William Sribney

Etichette

Informazioni generali

Nome legale
Sribney, William Michael
Data di nascita
1954
Sesso
male
Nazionalità
USA
Luogo di nascita
USA
Luogo di residenza
White Lake, New York, USA
Istruzione
University of North Carolina (MS Biostatistics ∙ 1992)
Attività lavorative
biostatistician
statistical software developer
Organizzazioni
Wayne State University
University of Southern California
University California, Los Angeles
Third Way Statistics
Harcourt Brace Jovanovich
North American Vegetarian Society (mostra tutto 8)
Boston Vegetarian Society
Triangle Vegetarian Society, Chapel Hill, North Carolina, USA
Breve biografia
William Sribney, MS – Author, The role of patient activation on patient–provider communication and quality of care for US- and foreign-born Latino patients

William Sribney is Vice President of Third Way Statistics. He holds an MS in Biostatistics (1992) from the University of North Carolina at Chapel Hill. He is a biostatistician who works with biomedical, epidemiological, and genetics researchers. He is also a professional developer of commercial statistical software. He currently works as a consulting statistician and part‐time as a statistical software developer at Third Way Statistics. He has special expertise in the selection and development of data measures, the analysis of complex survey data, and in the development of software for performing these analyses. For the past five years, Mr. Sribney has worked extensively analyzing results from national health surveys, with special focus on the health of Latinos and other minority populations inthe US, and has co‐authored 14 publications in this area in during this period.

Utenti

Recensioni

Written by the creators of Stata's likelihood maximization features, Maximum Likelihood Estimation with Stata, Third Edition continues the pioneering work of the previous editions. Emphasizing practical implications for applied work, the first chapter provides an overview of maximum likelihood estimation theory and numerical optimization methods. With step-by-step instructions, the next several chapters detail the use of Stata to maximize user-written likelihood functions. Various examples include logit, probit, linear, Weibull, and random-effects linear regression as well as the Cox proportional hazards model. The final chapters describe how to add a new estimation command to Stata. Assuming a familiarity with Stata, this reference is ideal for researchers who need to maximize their own likelihood functions.

New ml commands and their functions:
constraint: fits a model with linear constraints on the coefficient by defining your constraints; accepts a constraint matrix
ml model: picks up survey characteristics; accepts the subpop option for analyzing survey data
optimization algorithms: Berndt-Hall-Hall-Hausman (BHHH), Davidon-Fletcher-Powell (DFP), Broyden-Fletcher-Goldfarb-Shanno (BFGS)
ml: switches between optimization algorithms; computes variance estimates using the outer product of gradients (OPG)
… (altro)
 
Segnalato
vegetarian | Nov 23, 2011 |

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Statistiche

Opere
1
Utenti
21
Popolarità
#570,576
Voto
4.0
Recensioni
1
ISBN
5