Press "Enter" to skip to content

Download e-book for iPad: Causal inference and scientific paradigms in epidemiology by Steven Coughlin

By Steven Coughlin

ISBN-10: 160805330X

ISBN-13: 9781608053308

This anthology of articles on causal inference and medical paradigms in epidemiology covers numerous vital issues together with the hunt for causal causes, the strengths and boundaries of causal standards, quantitative methods for assessing causal relationships which are appropriate to epidemiology and rising paradigms in epidemiologic examine. as a way to supply old context, an summary of  Read more...

Pt --
1. Foundations --
pt --
2. informal inference in epidemiologic examine --
pt --
3. towards a brand new examine paradigm in epidemiology --
pt --
4. study paradigms in epidemiology and causal inference.

Show description

Read or Download Causal inference and scientific paradigms in epidemiology PDF

Best infectious disease books

Microbiology: A Systems Approach by M. Kelly Cowan PDF

Updated and widely reviewed, "Microbiology" is written with the non-major/allied overall healthiness pupil in brain. supplying either an attractive writing type by utilizing case experiences and analogies and a brilliant paintings application, the textual content completely explains tricky microbiology options in an available demeanour.

Icon Health Publications's The Official Patient's Sourcebook on Babesia Infection: A PDF

This booklet has been created for sufferers who've made up our minds to make schooling and examine an essential component of the remedy technique. even though it additionally provides details worthy to medical professionals, caregivers and different healthiness pros, it tells sufferers the place and the way to seem for info overlaying nearly all subject matters on the topic of babesia an infection (also Babesiasis; Babesiosis; Piriplasmosis; piroplasmosis; Redwater Fever), from the necessities to the main complex components of study.

Parasitic Infections and the Immune System - download pdf or read online

That includes the paintings of a number of global specialists, this quantity locations basic emphasis at the mechanism of parasite produced adjustments within the immune reaction (i. e. immunosuppression). The textual content covers parasitic ailments on which the realm health and wellbeing association has aggressively promoted examine via its software on study and coaching In Tropical ailments.

Saul, Ph.D. Rajak, John Sandford-Smith's Eye Diseases in Hot Climates PDF

This well-established scientific textbook covers the spectrum of eye problems yet with a spotlight at the significant preventable and treatable motives of blindness in constructing nations. Written in particular to handle the knowledge wishes of medical professionals, nurses and clinical assistants thinking about dealing with eye sufferers in tropical and constructing international locations, the book's functional technique is designed to aid these operating with restricted expert supervision and gear.

Additional resources for Causal inference and scientific paradigms in epidemiology

Sample text

In defense of black box epidemiology. Epidemiology 1994;5:550-2. Skrabanek P. The emptiness of the black box. Epidemiology 1994;5:553-5. Krieger N. Epidemiology and the web of causation: has anyone seen the spider? Soc Sci Med 1994;39:887-903. Krieger N, Zierler S. What explains the public’s health: a call for epidemiologic theory. Epidemiology 1995;7:107-9. Susser M, Susser E. Choosing a future for epidemiology. I. Eras and paradigms. Am J Public Health 1996;86:668-73. Susser M, Susser E. Choosing a future for epidemiology.

Causation in epidemiology. J Epidemiol Commun Health 2001;55:905-12. Olsen J. What characterizes a useful concept of causation in epidemiology? J Epidemiol Commun Health 2003;57:86-88. Hernan MA, Cole SR. Causal diagrams and measurement bias. Am J Epidemiol 2009;170:959-62. Atkins D, Best D, Briss PA, et al. Grading quality of evidence and strength of recommendations. Br Med J 2004;328:1490. VanderWeele TJ, Hernandez-Diaz S, Hernan MA. Case-only gene-environment interaction studies: when does association imply mechanistic interaction?

For example, an editorial about the DRD2 gene, smoking, and lung cancer [29] asked: “Why do some individuals smoke and others do not? Why can some smokers quit, while others cannot? ” Genetic factors explain why some individuals infected with the human immunodeficiency virus (HIV) do not progress to AIDS [30]. Nevertheless, an improved understanding of how genes contribute to cancer, AIDS, and other diseases for which the sick have sometimes been unfairly blamed is unlikely to do away with concerns about personal (or societal) responsibility for smoking, HIV infection, or other factors that interact with genetic susceptibility factors for disease.

Download PDF sample

Causal inference and scientific paradigms in epidemiology by Steven Coughlin

by Anthony

Rated 4.30 of 5 – based on 16 votes