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Курс от Johns Hopkins University
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Simple Regression Analysis in Public Health
Курс от Johns Hopkins UniversityО курсе
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Навыки, которые вы освоите
Statistical AnalysisRegression AnalysisLogistic RegressionStatistical ModelingStatistical InferencePublic HealthStatisticsPublic Health and Disease PreventionBiostatisticsProbability & StatisticsQuantitative ResearchEpidemiologyRisk AnalysisData LiteracyMedical Science and ResearchCorrelation AnalysisStatistical MethodsRisk Modeling
Программа курса
5 модулей · 49 учебных материалов
01Simple Regression Methods12 материалов
Simple Regression: An Overview, and Simple Linear Regression
IntroductionВидеоSimple Regression: An OverviewВидеоSimple Linear Regression with a Binary (or Nominal Categorical) PredictorВидеоSimple Linear Regression with a Categorical PredictorВидеоУчитесь у экспертов
John McGready, PhD, MS
Associate Scientist, Biostatistics