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- Bias_(statistics) abstract "A statistic is biased if it is calculated in such a way that it is only systematically different from the population parameter of interest. The following lists some types of biases, which can overlap.Selection bias involves individuals being more likely to be selected for study than others, biasing the sample. This can also be termed Berksonian bias.Spectrum bias arises from evaluating diagnostic tests on biased patient samples, leading to an overestimate of the sensitivity and specificity of the test. The bias of an estimator is the difference between an estimator's expectations and the true value of the parameter being estimated. Omitted-variable bias is the bias that appears in estimates of parameters in a regression analysis when the assumed specification omits an independent variable that should be in the model. In statistical hypothesis testing, a test is said to be unbiased when the probability of committing a type I error (i.e. false positive) is less than the significance level, and that of getting a true positive (rejecting the null hypothesis when the alternative hypothesis is true) is at least that of the significance level. Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts. Funding bias may lead to selection of outcomes, test samples, or test procedures that favor a study's financial sponsor. Reporting bias involves a skew in the availability of data, such that observations of a certain kind are more likely to be reported. Analytical bias arise due to the way that the results are evaluated. Exclusion bias arise due to the systematic exclusion of certain individuals from the study. Attrition bias arises due to a loss of participants e.g. loss to follow up during a study. Recall bias arises due to differences in the accuracy or completeness of participant recollections of past events. e.g. a patient cannot recall how many cigarettes they smoked last week exactly, leading to over-estimation or under-estimation. Observer bias arises when the researcher unconsciously influences the experiment due to cognitive bias where judgement may alter how an experiment is carried out / how results are recorded.↑ ↑".
- Bias_(statistics) wikiPageID "184099".
- Bias_(statistics) wikiPageLength "3421".
- Bias_(statistics) wikiPageOutDegree "26".
- Bias_(statistics) wikiPageRevisionID "666276304".
- Bias_(statistics) wikiPageWikiLink Accuracy_and_precision.
- Bias_(statistics) wikiPageWikiLink Analytical_bias.
- Bias_(statistics) wikiPageWikiLink Bias_of_an_estimator.
- Bias_(statistics) wikiPageWikiLink Category:Bias.
- Bias_(statistics) wikiPageWikiLink Category:Statistical_terminology.
- Bias_(statistics) wikiPageWikiLink Category:Statistical_theory.
- Bias_(statistics) wikiPageWikiLink Cognitive_bias.
- Bias_(statistics) wikiPageWikiLink Diabetes_mellitus.
- Bias_(statistics) wikiPageWikiLink Exclusion_bias.
- Bias_(statistics) wikiPageWikiLink Funding_bias.
- Bias_(statistics) wikiPageWikiLink Obesity.
- Bias_(statistics) wikiPageWikiLink Observational_error.
- Bias_(statistics) wikiPageWikiLink Observer-expectancy_effect.
- Bias_(statistics) wikiPageWikiLink Omitted-variable_bias.
- Bias_(statistics) wikiPageWikiLink Recall_bias.
- Bias_(statistics) wikiPageWikiLink Reporting_bias.
- Bias_(statistics) wikiPageWikiLink Sampling_bias.
- Bias_(statistics) wikiPageWikiLink Selection_bias.
- Bias_(statistics) wikiPageWikiLink Sensitivity_and_specificity.
- Bias_(statistics) wikiPageWikiLink Spectrum_bias.
- Bias_(statistics) wikiPageWikiLink Statistic.
- Bias_(statistics) wikiPageWikiLink Statistical_hypothesis_testing.
- Bias_(statistics) wikiPageWikiLink Statistical_parameter.
- Bias_(statistics) wikiPageWikiLink Syndemic.
- Bias_(statistics) wikiPageWikiLink Type_I_and_type_II_errors.
- Bias_(statistics) wikiPageWikiLinkText "Bias (statistics)".
- Bias_(statistics) wikiPageWikiLinkText "Bias".
- Bias_(statistics) wikiPageWikiLinkText "bias (statistics)".
- Bias_(statistics) wikiPageWikiLinkText "bias".
- Bias_(statistics) wikiPageWikiLinkText "biased estimates".
- Bias_(statistics) wikiPageWikiLinkText "biased".
- Bias_(statistics) wikiPageWikiLinkText "biases".
- Bias_(statistics) wikiPageWikiLinkText "statistical bias".
- Bias_(statistics) wikiPageWikiLinkText "unbiased".
- Bias_(statistics) wikiPageUsesTemplate Template:Biases.
- Bias_(statistics) wikiPageUsesTemplate Template:Refimprove.
- Bias_(statistics) wikiPageUsesTemplate Template:Reflist.
- Bias_(statistics) subject Category:Bias.
- Bias_(statistics) subject Category:Statistical_terminology.
- Bias_(statistics) subject Category:Statistical_theory.
- Bias_(statistics) type Prejudice.
- Bias_(statistics) type Theory.
- Bias_(statistics) comment "A statistic is biased if it is calculated in such a way that it is only systematically different from the population parameter of interest. The following lists some types of biases, which can overlap.Selection bias involves individuals being more likely to be selected for study than others, biasing the sample.".
- Bias_(statistics) label "Bias (statistics)".
- Bias_(statistics) sameAs Q11264527.
- Bias_(statistics) sameAs Trend_(Statistik).
- Bias_(statistics) sameAs Deklivo_(statistiko).
- Bias_(statistics) sameAs הטיה_(סטטיסטיקה).
- Bias_(statistics) sameAs Bias_(statistica).
- Bias_(statistics) sameAs Zuiver_(statistiek).
- Bias_(statistics) sameAs Enviesamento_amostral.
- Bias_(statistics) sameAs Q11264527.
- Bias_(statistics) sameAs 偏差.
- Bias_(statistics) wasDerivedFrom Bias_(statistics)?oldid=666276304.
- Bias_(statistics) isPrimaryTopicOf Bias_(statistics).