University of London

About: University of London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Public health. The organization has 44838 authors who have published 88086 publications receiving 4002499 citations. The organization is also known as: London University & Lond..

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Abstract: Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomised Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies.

A public management for all seasons

Abstract: This article discusses: the doctrinal content of the group of ideas known as ‘new public management’(NPM); the intellectual provenance of those ideas; explanations for their apparent persuasiveness in the 1980 s; and criticisms which have been made of the new doctrines. Particular attention is paid to the claim that NPM offers an all-purpose key to better provision of public services. This article argues that NFM has been most commonly criticized in terms of a claimed contradiction between ‘equity’ and ‘efficiency’ values, but that any critique which is to survive NPM's claim to ‘infinite reprogrammability’ must be couched in terms of possible conflicts between administrative values. The conclusion is that the ESRC'S Management in Government’ research initiative has been more valuable in helping to identify rather than to definitively answer, the key conceptual questions raised by NPM.

Interpreting Qualitative Data : Methods for Analysing Talk, Text and Interaction

Abstract: This a much expanded and updated version of David Silvermans best-selling introductory textbook for the beginning qualitative researcher. Features of the New Edition: • Takes account of the flood of qualitative work since the 1990s • All chapters have been substantially rewritten with the aim of greater clarity • A new chapter on Visual Images and a considerably expanded treatment of discourse analysis are provided • The number of student exercises has been considerably increased and are now present at the end of every chapter • An even greater degree of student accessibility: Key Points and Recommended Readings appear at the end of each chapter and technical terms are highlighted and appear in a Glossary • A more inter-disciplinary social science text which takes account of the growing interest in qualitative research outside sociology and anthropology from psychology to geography, information systems, health promotion, management and many other disciplines • Expanded coverage 50% longer than the First Edition This book has a more recent edition (2006)

The environment and disease: association or causation?

Abstract: In 1965, Austin Bradford Hill published the article "The Environment and Disease: Association or Causation?" in the Proceedings of the Royal Society of Medicine. In the article, Hill describes nine criteria to determine if an environmental factor, especially a condition or hazard in a work environment, causes an illness. The article arose from an inaugural presidential address Hill gave at the 1965 meeting of the Section of Occupational Medicine of the Royal Society of Medicine in London, England. The criteria he established in the article became known as the Bradford Hill criteria and the medical community refers to them when determining whether an environmental condition causes an illness. The criteria outlined in "The Environment and Disease: Association or Causation?" help identify the causes of many diseases, including cancers of the reproductive system.