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  2. Subgroup analysis - Wikipedia

    en.wikipedia.org/wiki/Subgroup_analysis

    Subgroup analysis refers to repeating the analysis of a study within subgroups of subjects defined by a subgrouping variable. For example: smoking status defining two subgroups: smokers and non-smokers).

  3. Haplogroup G-P303 - Wikipedia

    en.wikipedia.org/wiki/Haplogroup_G-P303

    Members of this subgroup must have other marker values similar to persons in the overall DYS388=13 subgroup. So far only persons of English ancestry belong to this DYS388=15 subgroup. Marker DYS388 rarely mutates, and a two-step (two-value) mutation is almost as valuable as a SNP mutation in identifying persons within this distinctive subgroup.

  4. Hierarchy of evidence - Wikipedia

    en.wikipedia.org/wiki/Hierarchy_of_evidence

    A large number of hierarchies of evidence have been proposed. Similar protocols for evaluation of research quality are still in development. So far, the available protocols pay relatively little attention to whether outcome research is relevant to efficacy (the outcome of a treatment performed under ideal conditions) or to effectiveness (the outcome of the treatment performed under ordinary ...

  5. Stratification (clinical trials) - Wikipedia

    en.wikipedia.org/wiki/Stratification_(clinical...

    Stratification of clinical trials is the partitioning of subjects and results by a factor other than the treatment given.. Stratification can be used to ensure equal allocation of subgroups of participants to each experimental condition.

  6. Between-group design experiment - Wikipedia

    en.wikipedia.org/wiki/Between-group_design...

    Some research has been done regarding whether it is possible to design an experiment that combines within-subject design and between-group design, or if they are distinct methods. A way to design psychological experiments using both designs exists and is sometimes known as "mixed factorial design". [ 3 ]

  7. Stratified randomization - Wikipedia

    en.wikipedia.org/wiki/Stratified_randomization

    Graphic breakdown of stratified random sampling. In statistics, stratified randomization is a method of sampling which first stratifies the whole study population into subgroups with same attributes or characteristics, known as strata, then followed by simple random sampling from the stratified groups, where each element within the same subgroup are selected unbiasedly during any stage of the ...

  8. Subgroup - Wikipedia

    en.wikipedia.org/wiki/Subgroup

    A proper subgroup of a group G is a subgroup H which is a proper subset of G (that is, H ≠ G). This is often represented notationally by H < G, read as "H is a proper subgroup of G". Some authors also exclude the trivial group from being proper (that is, H ≠ {e} ). [2] [3] If H is a subgroup of G, then G is sometimes called an overgroup of H.

  9. Blocking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Blocking_(statistics)

    In the examples listed above, a nuisance variable is a variable that is not the primary focus of the study but can affect the outcomes of the experiment. [3] They are considered potential sources of variability that, if not controlled or accounted for, may confound the interpretation between the independent and dependent variables .