Benjamin Silva, III and Diane Bjorkstrom: Securities and Exchange Commission Litigation Complaint
Author:
Publisher: DIANE Publishing
Published:
Total Pages: 17
ISBN-13: 1457810042
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SEC Docket
Author: United States. Securities and Exchange Commission
Publisher:
Published: 2010
Total Pages: 1454
ISBN-13:
DOWNLOAD EBOOKTeleworking
Author: Ursula Huws
Publisher:
Published: 1997
Total Pages: 37
ISBN-13: 9781851842575
DOWNLOAD EBOOKBecause teleworking presents major new challenges to human resource managers, trade unions, and others involved in the development of good employment practices, this book provides practical guidelines for good practice in regard to teleworkers that recognize that teleworking is not a single category, but covers at least five distinct groups with different needs. The guide is based on a study conducted in four European countries--United Kingdom, Greece, the Netherlands, and Sweden. Following an introductory chapter that discusses new forms of work and the study, the following work groups are defined and discussed in the next five chapters of the book: multisite teleworking, tele-homeworking, freelance teleworking, mobile teleworking, and relocated back-offices. The final chapter covers forms of support for teleworkers. The guidelines are based on existing good practice in each area, as described in each chapter. The book encourages employers to regard teleworkers as a variation of existing employees, not a separate category, and to provide the same benefits and working conditions previously negotiated with traditional workers. (KC)
Applying Quantitative Bias Analysis to Epidemiologic Data
Author: Timothy L. Lash
Publisher: Springer Science & Business Media
Published: 2011-04-14
Total Pages: 200
ISBN-13: 0387879595
DOWNLOAD EBOOKBias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.
