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Epidemiological method

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many research questions are impossible to study in experimental settings, due to concerns around ethics and study validity. For example, the link between cigarette smoke and lung cancer was uncovered largely through observational research; however research ethics would certainly prohibit conducting a randomized trial of cigarette smoking once it had already been identified as a potential health threat.
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Because epidemiological studies can rarely be conducted in a laboratory the results are often polluted by uncontrollable variations in the cases. This often makes the results difficult to interpret. Two methods have evolved to assess the strength of the relationship between the disease causing agent
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between exposures and outcomes, rather than causation. While some consider this a limitation of observational research, epidemiological models of causation (e.g. Bradford Hill criteria) contend that an entire body of evidence is needed before determining if an association is truly causal. Moreover,
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Factors relating to the environment that either increase or decrease the likelihood of disease. Exercise and good diet are examples of disabling factors. A weakened immune system and poor nutrition are examples of enabling
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Epidemiologists are famous for their use of rates. Each measure serves to characterize the disease giving valuable information about contagiousness, incubation period, duration, and mortality of the disease.
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nature of any given disease (i.e., the unique disease principle), a single disease entity may be treated as disease subtypes. This framework is well conceptualized in the interdisciplinary field of
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It is important to collect as much information as possible about each event in order to inspect a large number of possible risk factors. The events may be collected from varied methods of
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were the first criteria developed for epidemiological relationships. Because they only work well for highly contagious bacteria and toxins, this method is largely out of favor.
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If a trend has been observed in the cases, the researcher may postulate as to the nature of the relationship between the potential disease-causing agent and the disease.
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Full epidemiological studies are expensive and laborious undertakings. Before any study is started, a case must be made for the importance of the research.
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Ogino S, Lochhead P, Chan AT, Nishihara R, Cho E, Wolpin BM, Meyerhardt JA, Meissner A, Schernhammer ES, Fuchs CS, Giovannucci E (April 2013).
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Any conclusions drawn from inhomogeneous cases will be suspicious. All events or occurrences of the disease must be true cases of the disease.
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are the current standards for epidemiological relationships. A relationship may fill all, some, or none of the criteria and still be true.
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A discussion and forum community for epi analysis support and fostering questions, debates, and collaborations in epidemiology
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Non-environmental factors that increase the likelihood of getting a disease. Genetic history, age, and gender are examples.
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These are factors that compound the likelihood of getting a disease. They may include repeated exposure or excessive
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Here one looks for similarities in the cases which may identify major risk factors for contracting the disease.
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This factor is the most important in that it identifies the source of exposure. It may be a germ, toxin or gene.
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Epidemiology for the health sciences: a primer on epidemiologic concepts and their uses
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has a comprehensive list of links to associations, agencies, bulletins, etc.
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The science of epidemiology has matured significantly from the times of
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Epidemiological (and other observational) studies typically highlight
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Epidemiologic Inquiry online weblog for epidemiology researchers
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Often, occurrence of a single disease entity is set as an event.
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On line training classes for epidemiology and related topics.
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North Carolina Center for Public Health Preparedness Training
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Ogino S, Chan AT, Fuchs CS, Giovannucci E (March 2011).
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Fedak KM, Bernal A, Capshaw ZA, Gross S (2015-09-30).
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Characterize the events as to epidemiological factors
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Pages displaying wikidata descriptions as a fallback
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Boston University School of Public Health 215:, where cases included are defined using a 1025: 820: 806: 798: 153:may be used to identify such risk factors. 704: 694: 628: 579: 530: 481: 383: â€“ Statistical software from the CDC 1112:Preventable fraction among the unexposed 1108:Attributable fraction for the population 560:Journal of the National Cancer Institute 1116:Preventable fraction for the population 1104:Attributable fraction among the exposed 422: 411:Sanitary epidemiological reconnaissance 27:Scientific method in the specific field 765:The Centre for Evidence Based Medicine 59:Confirm the homogeneity of the events 783:On line text, with easy explanations. 74:or from censuses or hospital records. 7: 1279:Correlation does not imply causation 1195:Animal testing on non-human primates 393:Molecular pathological epidemiology 97:molecular pathological epidemiology 77:The events can be characterized by 554:Ogino S, Stampfer M (March 2010). 25: 781:Epidemiology for the Uninitiated 51:Establish that a problem exists 683:Emerging Themes in Epidemiology 511:International Journal of Cancer 1162:Pre- and post-test probability 884:Patient and public involvement 1: 793:People's Epidemiology Library 652:Austin DF, Werner SB (1982). 146:Look for patterns and trends 1289:Sex as a biological variable 435:A dictionary of epidemiology 297:Attributable risk in exposed 1253:Intention-to-treat analysis 1225:Analysis of clinical trials 1154:Specificity and sensitivity 908:Randomized controlled trial 115:Enabling/disabling factors 1355: 474:10.1038/modpathol.2012.214 1297: 1262:Interpretation of results 995:Nested case–control study 696:10.1186/s12982-015-0037-4 377: â€“ Plan for research 307:Levin's attributable risk 302:Percent attributable risk 864:Academic clinical trials 1082:Relative risk reduction 930:Adaptive clinical trial 874:Evidence-based medicine 857:Adaptive clinical trial 769:evidence-based medicine 621:10.1136/gut.2010.217182 505:Begg CB (August 2011). 287:Absolute risk reduction 253:Measures of association 158:Formulate a hypothesis 67:Collect all the events 18:Epidemiological methods 1070:Number needed to treat 201:Measures of occurrence 180:Bradford-Hill Criteria 137:environmental stresses 124:Precipitation factors 1074:Number needed to harm 961:Cross-sectional study 913:Scientific experiment 869:Clinical study design 375:Clinical study design 107:Predisposing factors 72:epidemiological study 1040:Cumulative incidence 227:Cumulative incidence 187:Publish the results. 166:Test the hypothesis 132:Reinforcing factors 947:Observational study 879:Real world evidence 833:experimental design 572:10.1093/jnci/djq031 350:Specificity (tests) 346:Sensitivity (tests) 1233:Risk–benefit ratio 1200:First-in-man study 1150:Case fatality rate 991:Case–control study 965:Longitudinal study 759:Epidemiology Forum 729:"Causal Inference" 283:Absolute measures 258:Relative measures 1326: 1325: 1274:Survivorship bias 1238:Systematic review 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Index

Epidemiological methods
Hippocrates
Semmelweis
John Snow
epidemiological study
Incidence
prevalence
heterogeneous
molecular pathological epidemiology
environmental stresses
Epidemic curves
Koch's postulates
Bradford-Hill Criteria
Incidence
Incidence rate
case definition
Hazard rate
Cumulative incidence
Prevalence
Point prevalence
Period prevalence
Risk ratio
Rate ratio
Odds ratio
Hazard ratio
Absolute risk reduction
Attributable risk
Attributable risk in exposed
Percent attributable risk
Levin's attributable risk

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