Literature DB >> 8935733

Quantitative epidemiology.

J Freeman1.   

Abstract

We provide guidance for new practitioners in the vocabulary of modern epidemiology and the application of quantitative methods. Most hospital epidemiology involves surveillance (observational) data that were not part of a planned experiment, so the rubric and logic of controlled experimental studies cannot be applied. Forms of incidence and prevalence often are confused. The names "cohort study" and "case-control study" are unfortunate, as cohort studies rarely involve cohorts and case-control studies allow no active control by the investigator. Either type of study can be prospective or retrospective. Results of studies with discrete outcomes (infected or not, lived or died) often are represented best by a form of the risk ratio with 95% confidence intervals. The potential distorting effects of selection bias, misclassification, and confounding need to be considered.

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Year:  1996        PMID: 8935733     DOI: 10.1086/647288

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  3 in total

1.  Association rules and data mining in hospital infection control and public health surveillance.

Authors:  S E Brossette; A P Sprague; J M Hardin; K B Waites; W T Jones; S A Moser
Journal:  J Am Med Inform Assoc       Date:  1998 Jul-Aug       Impact factor: 4.497

Review 2.  Using cohort studies to estimate mortality among injecting drug users that is not attributable to AIDS.

Authors:  L Degenhardt; W Hall; M Warner-Smith
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

Review 3.  Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy.

Authors:  Sidra Zafar; Yacob Habboush; Sary Beidas
Journal:  JMIR Med Educ       Date:  2018-11-07
  3 in total

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