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  1. 1confoundingConfounding— Complex relationships among variables that can distort relationships between the risk factors and the outcome
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 477-478). Jones & Bartlett Learning. Kindle Edition.
  2. 2biasBias— A systematic error that introduces uncertainty in estimates of effect or association
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 471-472). Jones & Bartlett Learning. Kindle Edition.
  3. 3double blindingblind— The state whereby a participant is unaware of their treatment status (e.g., experimental drug or placebo). A study is said to be double blind when both the participant and the outcome assessor are unaware of the treatment status (masking is used as an equivalent term to blinding).
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 472-474). Jones & Bartlett Learning. Kindle Edition.
  4. 4cross-sectionalCross-sectional— At a single point in time
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Location 479). Jones & Bartlett Learning. Kindle Edition.
  5. 5clinical trial— A specific type of study involving human participants and randomization to the comparison groups
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 474-475). Jones & Bartlett Learning. Kindle Edition.
  6. 6incidence (of disease)— The number of new cases (of disease) over a period of time
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 479-480). Jones & Bartlett Learning. Kindle Edition.
  7. 7cohortCohort— A group of participants who usually share some common characteristics and who are monitored or followed over time
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 475-476). Jones & Bartlett Learning. Kindle Edition.
  8. 8intention to treatIntention-to-treat— An analytic strategy whereby participants are analyzed in the treatment group they were assigned regardless of whether they followed the study procedures completely (e.g., regardless of whether they took all of the assigned medication)
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 480-482). Jones & Bartlett Learning. Kindle Edition.
  9. 9concurrentConcurrent— At the same time; optimally, comparison treatments are evaluated concurrently or in parallel
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 476-477). Jones & Bartlett Learning. Kindle Edition.
  10. 10matchingMatching— A process of organizing comparison groups by similar characteristics
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 482-483). Jones & Bartlett Learning. Kindle Edition.
  11. 11per protocolprotocol— An analytic strategy whereby only participants who adhered to the study protocol (i.e., the specific procedures or treatments given to them) are analyzed (in other words, an analysis of only those assigned to a particular group who followed all procedures for that group)
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 483-485). Jones & Bartlett Learning. Kindle Edition.
  12. 12placeboPlacebo— An inert substance designed to look, feel, and taste like the active or experimental treatment (e.g., saline solution would be a suitable placebo for a clear, tasteless liquid medication)
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 485-486). Jones & Bartlett Learning. Kindle Edition.
  13. 13prevalence (of disease)— The proportion of individuals with the condition (disease) at a single point in time
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Location 487). Jones & Bartlett Learning. Kindle Edition.
  14. 14prognostic factor— A characteristic that is strongly associated with an outcome (e.g., disease) such that it could be used to reasonably predict whether a person is likely to develop a disease or not
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 488-489). Jones & Bartlett Learning. Kindle Edition.
  15. 15prospective— A study in which information is collected looking forward in time
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 489-490). Jones & Bartlett Learning. Kindle Edition.
  16. 16protocol— A step-by-step plan for a study that details every aspect of the study design and data collection plan
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 490-491). Jones & Bartlett Learning. Kindle Edition.
  17. 17quasi-experimental designdesign— A design in which subjects are not randomly assigned to treatments
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 491-492). Jones & Bartlett Learning. Kindle Edition.
  18. 18randomizationRandomization— A process by which participants are assigned to receive different treatments (this is usually based on a probability scheme)
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 492-493). Jones & Bartlett Learning. Kindle Edition.
  19. 19retrospectiveRetrospective— A study in which information is collected looking backward in time
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 493-494). Jones & Bartlett Learning. Kindle Edition.
  20. 20stratificationStratification— A process whereby participants are partitioned or separated into mutually exclusive or non-overlapping groups
    Sullivan, Lisa M. (2011-03-25). Essentials of Biostatistics in Public Health (Kindle Locations 494-495). Jones & Bartlett Learning. Kindle Edition.

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Fichas sobre Stats, creado por ligginle el 25/01/2014.
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