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Cumulative Incidence
Cumulative incidence provides an estimate of the risk that a person will experience an event or develop a disease during a specified period of time. It is calculated as the number of new events or cases of disease that develop in a population at risk during a specific time interval. Cumulative incidence (also referred to as cumulative incidence or incidence proportion) allows researchers to predict risk of a disease or event over a year, 10 years, or even a lifetime; this time period must always be specified when the cumulative incidence is reported.
One example of cumulative incidence is the risk of developing flu among seniors vaccinated against influenza. Another would be the proportion of passengers who develop gastroenteritis while vacationing on a commercial cruise ship ...
- Behavioral and Social Science
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- EuroQoL EQ-5D Questionnaire
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- Branches of Epidemiology
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- Direct Standardization
- Disease Eradication
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- Effectiveness
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- Social Capital and Health
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- Urban Health Issues
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- Violence as a Public Health Issue
- Vitamin Deficiency Diseases
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- History and Biography
- Budd, William
- Doll, Richard
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- Epidemiology, History of
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- Latency and Incubation Periods
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- Statistics and Research Methods
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- p Value
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- Cluster Analysis
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- Cohort Effects
- Collinearity
- Community Trial
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- Confidence Interval
- Confounding
- Control Group
- Control Variable
- Convenience Sample
- Cox Model
- Critical Value
- Cumulative Incidence
- Data Management
- Data Transformations
- Decision Analysis
- Degrees of Freedom
- Dependent and Independent Variables
- Diffusion of Innovations
- Discriminant Analysis
- Dose-Response Relationship
- Doubling Time
- Dummy Coding
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- Ecological Fallacy
- Economic Evaluation
- Effect Modification and Interaction
- Factor Analysis
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- Histogram
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- Matching
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- Measures of Variability
- Meta-Analysis
- Missing Data Methods
- Multilevel Modeling
- Multiple Comparison Procedures
- Multivariate Analysis of Variance
- Natural Experiment
- Network Analysis
- Nonparametric Statistics
- Normal Distribution
- Null and Alternative Hypotheses
- Observational Studies
- Overmatching
- Panel Data
- Participatory Action Research
- Pearson Correlation Coefficient
- Percentiles
- Person-Time Units
- Pie Chart
- Placebo Effect
- Point Estimate
- Probability Sample
- Program Evaluation
- Propensity Score
- Proportion
- Qualitative Methods in Epidemiology
- Quasi Experiments
- Questionnaire Design
- Race Bridging
- Random Variable
- Random-Digit Dialing
- Randomization
- Rate
- Ratio
- Receiver Operating Characteristic (ROC) Curve
- Regression
- Relational Database
- Reliability
- Response Rate
- Robust Statistics
- Sample Size Calculations and Statistical Power
- Sampling Distribution
- Sampling Techniques
- Scatterplot
- Secondary Data
- Sensitivity and Specificity
- Sequential Analysis
- Simpson's Paradox
- Skewness
- Spreadsheet
- Stem-and-Leaf Plot
- Stratified Methods
- Structural Equation Modeling
- Study Design
- Survival Analysis
- Target Population
- Time Series
- Type I and Type II Errors
- Unit of Analysis
- Validity
- Volunteer Effect
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