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  2. Confounding - Wikipedia

    en.wikipedia.org/wiki/Confounding

    A reduction in the potential for the occurrence and effect of confounding factors can be obtained by increasing the types and numbers of comparisons performed in an analysis. If measures or manipulations of core constructs are confounded (i.e. operational or procedural confounds exist), subgroup analysis may not reveal problems in the analysis.

  3. Cohort study - Wikipedia

    en.wikipedia.org/wiki/Cohort_study

    However, educated hypotheses based on prior research and background knowledge are used to select variables to be included in the regression model for cohort studies, and statistical methods can be used to identify and account for potential confounders from these variables.

  4. Blocking (statistics) - Wikipedia

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

    They are considered potential sources of variability that, if not controlled or accounted for, may confound the interpretation between the independent and dependent variables. To address nuisance variables, researchers can employ different methods such as blocking or randomization.

  5. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    Choose appropriate confounders (variables hypothesized to be associated with both treatment and outcome) Obtain an estimation for the propensity score: predicted probability p or the log odds, log[p/(1 − p)]. 2. Match each participant to one or more nonparticipants on propensity score, using one of these methods: Nearest neighbor matching

  6. Controlling for a variable - Wikipedia

    en.wikipedia.org/wiki/Controlling_for_a_variable

    Without having one, a possible confounder might remain unnoticed. Another associated problem is that if a variable which is not a real confounder is controlled for, it may in fact make other variables (possibly not taken into account) become confounders while they were not confounders before.

  7. The research surveyed 69,705 Swedish men and women, following their diet and lifestyle habits between 1997 and 2009, specifically tracking three classes of sugar: Sugar toppings like honey, sweets ...

  8. Scientific control - Wikipedia

    en.wikipedia.org/wiki/Scientific_control

    These two controls, when both are successful, are usually sufficient to eliminate most potential confounding variables: it means that the experiment produces a negative result when a negative result is expected, and a positive result when a positive result is expected. Other controls include vehicle controls, sham controls and comparative controls.

  9. Do you overplan the holidays? You might be missing the point

    www.aol.com/overplan-holidays-might-missing...

    There needs to be some time with no obligations or responsibilities, said Dr. Emiliana Simon-Thomas, science director of the Greater Good Science Center — a research institute that studies the ...