# Class Notes for HLTH 240b at Yale University

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## HLTH 240b Lecture Notes - Lecture 6: Nonparametric Statistics, Parametric Statistics, Statistical Power

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Types of research designs: experiments: studies in which participants are randomly assigned to a condition or level of one or more independent variable

View Document## HLTH 240b Lecture Notes - Lecture 1: Edwin Chadwick, John Graunt, William Farr

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Distribution: frequency and pattern of health events in a population, frequency: number of health events, in context, pattern: occurrence of health eve

View Document## HLTH 240b Lecture Notes - Lecture 2: Typhoid Fever, Immunogenicity, Models 1

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Disease causation: event, condition, or characteristic that comes before the disease and without which the disease would not occur. Theories: 19th cent

View Document## HLTH 240b Lecture Notes - Lecture 3: Congenital Syphilis, Vital Record, National Health And Nutrition Examination Survey

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Stats vs. epidemiology: descriptive stats: mean median mode, vs. analytic: testing, descriptive epidemiology: describing shape of epi event and identif

View Document## HLTH 240b Lecture Notes - Lecture 9: Attributable Risk, Randomized Controlled Trial, Cohort Study

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Continuous variable: associations, correlations, parametric stats. Risk ratio: rr = 1: no increased risk, rr > 1, rr < 1: Difference between rr and or:

View Document## HLTH 240b Lecture Notes - Lecture 7: Odds Ratio, Selection Bias, Birth Weight

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Research designs: study design, descripti(cid:448)e: (cid:449)hat (cid:449)e"(cid:448)e do(cid:374)e so far, who, when, where, how many, analytic, figu

View Document## HLTH 240b Lecture Notes - Lecture 4: Case Fatality Rate, Cumulative Incidence, Vector Calculus

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Systematic collection, analysis and interpretation of health-related data needed for the planning, implementation, evaluation of public health practice

View Document## HLTH 240b Lecture Notes - Lecture 5: Nonparametric Statistics, Statistical Inference, Descriptive Statistics

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Branches of statistics: descriptive statistics, organize, summarize, communicate numerical info. Inferential statistics: use samples to draw conclusion

View Document## HLTH 240b Lecture Notes - Lecture 10: Analysis Of Variance, Random Assignment, Measuring Instrument

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If the p value is small, then it is unlikely that the differences you observed are due to random sampling. One way anovas: one way because only one ind

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