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Published Examination-based Prevalence of Major Eye Disorders
Bonnielin Swenor; details the findings of a literature review on the prevalence of vision loss and major eye disorders
Prevalence of AMD varies from
1.1% to 40.5%
NHANEs showed what about prevalence of AMD
varies with age and race/ethnicity
Prevalence of diabetic retinopathy varies from
1.2% to 48%
Prevalence of open-angle glaucoma varies from
1.9% to 13.8%
Prevalence of uncorrected refractive error varies from
1.8% to 15.1%
Prevalence of cataract varies from
2.8% to 29.5%
Prevalence of vision impairment overall varies from
0.7% to 7.5%
Null hypothesis
the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.
Alternative Hypothesis
The hypothesis that there is a relationship between the dependent and independent variables; accepted when null is rejected
Statistical Significance
how likely it is that an obtained result occurred by chance
Type 1 Error
Rejecting null hypothesis when it is true; declared statistically significant different when none existed (false positive)
Type 2 Error
failing to reject a false null hypothesis; declared to be. no statistically significant different when a different exists (false negative)
Internal validity
measurements accurately reflect the sample (make a gold standard)
External validity
extent to which we can generalize findings to real-world settings; measurements accurately reflect the sample population
Generalizability
the extent to which we can claim our findings inform us about a group larger than the one we studied
Selection Bias
in an experiment, unintended differences between the participants in different groups; subjects may not be representative of the target population
Information Bias
can be introduced as a result of measurement error or misclassification; accuracy is impacted; recall bias
Recall bias
People may not know or can't accurately recount a disease or a problem
Interviewer Bias
effects of interviewers on respondents that lead to biased answers; way the questions are asked
Confounding Bias
Groups being tested for differences have some underlying difference which is not controlled and could b the reason for the end result.
Two studies that are even better than Randomized Trials
Systematic Review and Meta-Analysis
Big Data
Data that is too large and complex that it exceeds the storage or computing capacity of most systems ability to perform timely and accurate analysis
Data sources
collections of information; emphasis on administrate data and clinical registries
Data integration
bringing together data from 2 or more sources linking the same person or event together
Systematic Review
summarized findings from multiple studies of a specific clinical practice question or topic that recommend practice changes and future directions for research; one of the strongest sources of evidence for evidence-based practice
Meta-analysis
statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings
Cochrane Collaboration
an international organization that aims to facilitate well-informed decisions about health care by preparing systematic reviews of the effects of health care interventions
Variable
any characteristic that differs from person to person
Nominal/categorical variable
categories do not have a natural order/numerical ranking
Ordinal variable
a qualitative variable that incorporates an ordered position, or ranking but the spacing may not be even
Interval variable
a variable used for observations that have numbers as their values; the distance (or interval) between pairs of consecutive numbers is assumed to be equal but there is no true zero point
Ratio variable
a variable that meets the criteria for an interval variable but also has a meaningful zero point
Qualitative/categorical variables
nominal or ordinal
Quantitative/Continuous variables
interval and ratio