Stat.duke.edu

Introduction to Health Data Science

WebRigorous introduction to health data science with applications in biomedical research, epidemiology, and health policy. Conduct reproducible data exploration, visualization, …

Actived: 9 days ago

URL: https://stat.duke.edu/courses/introduction-health-data-science-part-1

What is health data science

WebA process that converts data into useful information, whereby practitioners. form a question of interest, collect and summarize data, and interpret the results. STA 198: Introduction …

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Introduction to data

WebLet’s decipher these three lines of code: Line 1: Take the nycflights data frame, filter for flights headed to RDU, and save the result as a new data frame called rdu_flights. == …

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Diagnostic Testing

WebOral HIV tests give positive or negative results depending on levels of HIV antibodies detected in saliva. If antibody levels are above a certain threshold, it is classi ed as a …

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Introduction to Global Health Data Science Statistical …

WebRigorous introduction to health data science using current applications in biomedical research, epidemiology, and health policy. Use modern statistical software to conduct …

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Health Data Science Statistical Science

WebHealth Data Science. The MS focus in Health Data Science stresses the courses STA 521L, 523L, 610L, that are critical core/foundations for students to develop skills and …

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Case Study 2: Visualizing Global Health Data

WebLearning Objectives. show mastery of data wrangling techniques, including combining data across different sources and formats, data harmonization, and creation of new variables. …

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What is biostatistics

WebA process that converts data into useful information, whereby practitioners. form a question of interest, collect and summarize data, and interpret the results. STA 102: Introduction …

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Lab 1: Introduction to data

WebRecall that column 6 represents respondents’ weight, so the command above reported all of the weights in the data set. An alternative method to access the weight data is by …

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Amy H. Herring Statistical Science

WebAmy H. Herring. Sara and Charles Ayres Distinguished Professor. Longitudinal and multivariate data. Hierarchical models. Latent variables. Bayesian methods. Missing and …

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Multinomial Logistic Regression

WebThe goal of this exercise is to walk through a multinomial logistic regression analysis. It will give you a basic idea of the analysis steps and thought-process; however, due to class …

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Statistics 502 Lecture Notes

WebChapter 1 Principles of experimental design 1.1 Induction Much of our scienti c knowledge about processes and systems is based on induction: reasoning from the speci c to the …

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About Our Master's Program Statistical Science

WebLearn more about requirements, admissions process, and key dates/deadlines.

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Hypothesis Testing

WebUltra-low dose contraception. STA 198: Introduction to Health Data Science. Oral contraceptive pills work well, but must have a precise dose of estrogen. If a pill has too …

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Intro to Survival Analysis

WebAt each time t, the probability of surviving is just 1 P(failing). Before there are any failures in the data, our estimated S(t) ^ = 1. At the time of the rst failure, this probability falls below …

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Hypothesis Testing

WebSample proportion is: 233/518 = 0.45. The standard deviation = (0.50) × (1 – 0.50) = 0.022. 518 Test statistic: z = (0.45 – 0.50)/0.022 = –2.27. Step 3. Determine the p-value. Recall …

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COMPETING RISKS IN MORTALITY ANALYSIS

WebCOMPETING MORTALITY RISKS 283 Laplace all had considered the problem when n and m both were functions of age. It was D’Alembert who was the most critical of Bemoulli’s …

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Comparing Two Means

Web12.2. 13.4. 12.9. 11.0. STA 198: Introduction to Health Data Science. A school athletics department has taken a new instructor and wants to test the e ectiveness of the new type …

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