This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.
Mathematical Biostatistics Boot Camp 1
ofrecido por
Mathematical Biostatistics Boot Camp 1
Johns Hopkins University
Acerca de este Curso
4.5
220 calificaciones
Habilidades que obtendrás
StatisticsConfidence IntervalStatistical Hypothesis TestingBiostatistics
Programa - Qué aprenderás en este curso
Semana
1Introduction, Probability, Expectations, and Random Vectors
You are about to undergo an intense and demanding immersion into the world of mathematical biostatistics. Over the next few weeks, you will learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and much more. Module 1 covers experiments, probability, variables, mass functions, density functions, cumulative distribution functions, expectations, variations, and vectors.
13 videos (Total: 179 min), 2 readings, 2 quizzes
13 videos
Biostatistics and Experiments12m
Set Notation and Probability14m
Probability22m
Random Variables6m
PMFs and PDFs17m
CDFs, Survival Functions, and Quantiles11m
Expected Values12m
Rules About Expected Values10m
Variances and Chebyshev's Inequality18m
Random Vectors and Independence17m
Correlation10m
Variance Properties and Sample Variance22m
2 lecturas
Syllabus10m
Faculty10m
2 ejercicios de práctica
Module 1 Homework40m
Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors40m
Semana
2Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
This module covers Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics. These are the most fundamental core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.
7 videos (Total: 157 min), 2 quizzes
7 videos
Bayes' Rule and DLRs23m
Likelihood32m
Bernoulli Distribution and Binomial Trials15m
The Normal Distribution28m
Limits and LLN18m
CLT and Confidence Intervals23m
2 ejercicios de práctica
Module 2 Homework26m
Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics32m
Semana
3Confidence Intervals, Bootstrapping, and Plotting
This module covers Confidence Intervals, Bootstrapping, and Plotting. These are core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.
7 videos (Total: 121 min), 2 quizzes
7 videos
Student's t Distribution and CI for Normal Means19m
Profile Likelihoods8m
T Confidence Intervals24m
Plotting22m
The Jackknife12m
Bootstrapping17m
2 ejercicios de práctica
Module 3 Homework20m
Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting22m
Semana
4Binomial Proportions and Logs
This module covers Binomial Proportions and Logs. These are core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.
3 videos (Total: 71 min), 2 quizzes
2 ejercicios de práctica
Module 4 Homework10m
Module 4 Quiz: Binomial Proportions and Logs10m
Principales revisiones
por DH•Jun 5th 2017
I knew a lot about probability before starting this course, but I didn't know much of anything about frequentist statistics. This course helped me understand some tricky concepts.
por PB•Jan 12th 2016
Very concise, well-presented course. This was my second time taking it as a refresher. Prof. Caffo does a great job presenting the materials. However, prepare to be challenged.
Instructor
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
Acerca de Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Preguntas Frecuentes
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