About 91,600 results
Open links in new tab
  1. Confounding - Wikipedia

    In causal inference, confounding is a form of systematic error (or bias) that can distort estimates of causal effects in observational studies.

  2. CONFOUND Definition & Meaning - Merriam-Webster

    The meaning of CONFOUND is to throw (a person) into confusion or perplexity. How to use confound in a sentence. Synonym Discussion of Confound.

  3. CONFOUNDING Definition & Meaning | Dictionary.com

    CONFOUNDING definition: perplexing or bewildering. See examples of confounding used in a sentence.

  4. CONFOUNDING | English meaning - Cambridge Dictionary

    CONFOUNDING definition: 1. present participle of confound 2. to confuse and very much surprise someone, so that they are…. Learn more.

  5. What is a Confounding Variable? (Definition & Example) - Statology

    Jun 9, 2021 · This tutorial provides an explanation of confounding variables, including a formal definition and several examples.

  6. Confounding - definition of confounding by The Free Dictionary

    To cause to become confused or perplexed. See Synonyms at perplex. 2. To fail to distinguish; mix up:...

  7. Confounding Variables | Definition, Examples & Controls

    May 29, 2020 · In a cause-and-effect study, a confounding variable is an unmeasured variable that influences both the supposed cause and effect.

  8. Confounding - Definition, Meaning & Synonyms | Vocabulary.com

    3 days ago · confounding Add to list Other forms: confoundingly Definitions of confounding adjective that confounds or contradicts or confuses synonyms: contradictory

  9. Confounding – Foundations of Epidemiology - Open Educational …

    During confounding analyses, this value is referred to as the crude or unadjusted measure of association—meaning that we have not yet accounted, adjusted, or controlled for any confounders.

  10. Confounding Variable: Simple Definition and Example

    A confounding variable can have a hidden effect on your experiment’s outcome. In an experiment, the independent variable typically has an effect on your dependent variable.