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Hill, Austin Bradford (1897–1991)
Austin Bradford Hill has been called ‘the greatest medical statistician of the [20th] century’ (Doll, 1993, p. 795), a distinction achieved without academic degrees in either statistics or medicine. Richard Doll summarized his major contributions as teaching an innumerate medical profession to think quantitatively and persuading them to adopt randomization in studies of therapies and laying the basis for the development of epidemiology by showing how the science could be expanded to discover the causes of noninfectious diseases.
Hill's lectures at the London School of Hygiene and Tropical Medicine (LSHTM) in the 1930s presented ‘an understandable and logical approach to the collection and interpretation of medical observations’ (Doll, 1993, p. 795). The lectures were disseminated worldwide when published in The Lancet and later as a ...
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- Branches of Epidemiology
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- Disability Epidemiology
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- Eco-Epidemiology
- Environmental and Occupational Epidemiology
- Field Epidemiology
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- Maternal and Child Health Epidemiology
- Molecular Epidemiology
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- Hill's Considerations for Causal Inference
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- Evidence-Based Medicine
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- International Classification of Diseases
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- Managed Care
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- History and Biography
- Budd, William
- Doll, Richard
- Ehrlich, Paul
- Epidemiology, History of
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- Hill, Austin Bradford
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- Koch, Robert
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- International Classification of Diseases
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- Latency and Incubation Periods
- Life Course Approach
- Malnutrition, Measurement of
- Medical Anthropology
- Organ Donation
- Pain
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- Preclinical Phase of Disease
- Preterm Birth
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- Quarantine and Isolation
- Screening
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- Specific Populations
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- Breastfeeding
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- Epidemiology in Developing Countries
- Hormone Replacement Therapy
- Immigrant and Refugee Health Issues
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- Maternal and Child Health Epidemiology
- Men's Health Issues
- Oral Contraceptives
- Race and Ethnicity, Measurement Issues With
- Race Bridging
- Rural Health Issues
- Sexual Minorities, Health Issues of
- Urban Health Issues
- Women's Health Issues
- Statistics and Research Methods
- F Test
- p Value
- Additive and Multiplicative Models
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- Critical Value
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- Data Management
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- Diffusion of Innovations
- Discriminant Analysis
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- Dummy Coding
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- Ecological Fallacy
- Economic Evaluation
- Effect Modification and Interaction
- Factor Analysis
- Fisher's Exact Test
- Geographical and Spatial Analysis
- Graphical Presentation of Data
- Halo Effect
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- Hazard Rate
- Healthy Worker Effect
- Hill's Considerations for Causal Inference
- Histogram
- Hypothesis Testing
- Inferential and Descriptive Statistics
- Intent-to-Treat Analysis
- Internet Data Collection
- Interquartile Range
- Interrater Reliability
- Intervention Studies
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- 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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