Biostats
MISC
Study Designs
- study designs
- explanatory vs pragmatic trials
- cross over study allows subjects to act as own control
- noninferiority trials
- validation methods in big data analysis
Statistic Calculations
- high sensitivity rules out, high specificity rules in
- positive predictive value
- sensitivity, specificity, PPV, NPV, true positive, false positive, true negative, false negative
- PPV has positive relationship with prevalence
- mean, median, mode
- sensitivity analysis
- comparison tests in statistics
- per year rates
- relative risk vs odds ratio
- hazard ratio vs relative risk
- coefficient of determination
- attributable risk
- likelihood ratios
- relative risk reduction
- multiplicity phenomenon
- number needed to screen and prevalence
- calculating efficacy
- calculating survival probability
- person time rate
Avoiding Bias
- bias
- intention to treat preserves randomization and prevents selection bias
- competing risk of death
- using prespecified subgroups is stronger study design than post-hoc subgroup
- internal vs external validity
Analysis Methods
- Kaplan Meier survival curve and Cox proportional hazards model
- funnel plot
- linear regression
- time to event analysis
- propensity matching
- receiver operating characteristics curve
- means end analysis
Links to this note
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Competing Risk of Death - An Important Consideration in Studies of Older Adults
- related: Biostats, competing risk of death
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high sensitivity rules out, high specificity rules in
- related: Biostats
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cross over study allows subjects to act as own control
- related: Biostats
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explanatory vs pragmatic trials
- related: Biostats
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- related: Biostats
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- related: Biostats
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- related: Biostats
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calculating survival probability
- related: Biostats
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- related: Biostats
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comparison tests in statistics
- related: Biostats
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- related: Biostats
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- related: Biostats
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intention to treat preserves randomization and prevents selection bias
- related: Biostats
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- related: Biostats
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- related: Biostats
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- related: Biostats
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- related: Biostats
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- related: Biostats
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number needed to screen and prevalence
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- related: Biostats
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power and confidence level of research
- related: Biostats
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PPV has positive relationship with prevalence
- related: Biostats
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- related: Biostats
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receiver operating characteristics curve
- related: Biostats
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- related: Biostats
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- related: Biostats
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sensitivity, specificity, PPV, NPV, true positive, false positive, true negative, false negative
- related: Biostats
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- related: Biostats
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- related: Biostats
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- related: Biostats
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- related: Biostats
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validation methods in big data analysis
- related: Biostats