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.
oferecido por
Bioestatística Matemática: Treinamento 1
Universidade Johns Hopkins
Informações sobre o curso
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Habilidades que você terá
StatisticsConfidence IntervalStatistical Hypothesis TestingBiostatistics
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Prazos flexíveis
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Aprox. 22 horas para completar
Sugerido: 3-5 hours/week
Inglês
Legendas: Inglês
oferecido por
Universidade Johns Hopkins
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.
Programa - O que você aprenderá com este curso
5 horas para concluir
Introduction, 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.
5 horas para concluir
13 vídeos (Total 179 mín.), 2 leituras, 2 testes
13 videos
Biostatistics and Experiments12min
Set Notation and Probability14min
Probability22min
Random Variables6min
PMFs and PDFs17min
CDFs, Survival Functions, and Quantiles11min
Expected Values12min
Rules About Expected Values10min
Variances and Chebyshev's Inequality18min
Random Vectors and Independence17min
Correlation10min
Variance Properties and Sample Variance22min
2 leituras
Syllabus10min
Faculty10min
2 exercícios práticos
Module 1 Homework40min
Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors40min
4 horas para concluir
Conditional 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.
4 horas para concluir
7 vídeos (Total 157 mín.)
7 videos
Bayes' Rule and DLRs23min
Likelihood32min
Bernoulli Distribution and Binomial Trials15min
The Normal Distribution28min
Limits and LLN18min
CLT and Confidence Intervals23min
2 exercícios práticos
Module 2 Homework26min
Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics32min
3 horas para concluir
Confidence 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.
3 horas para concluir
7 vídeos (Total 121 mín.)
7 videos
Student's t Distribution and CI for Normal Means19min
Profile Likelihoods8min
T Confidence Intervals24min
Plotting22min
The Jackknife12min
Bootstrapping17min
2 exercícios práticos
Module 3 Homework20min
Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting22min
2 horas para concluir
Binomial 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.
2 horas para concluir
3 vídeos (Total 71 mín.)
2 exercícios práticos
Module 4 Homework10min
Module 4 Quiz: Binomial Proportions and Logs10min
Avaliações
Principais avaliações do BIOESTATÍSTICA MATEMÁTICA: TREINAMENTO 1
por DHJun 4, 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 PBJan 11, 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.
por JBJul 8, 2017
Great course, though a little difficult in parts, particularly the first week. Worth working through though for a better understanding of probability and statistics.
por BEApr 5, 2018
This course is phenomenally well developed with great curriculum and materials for building astrong base to enter into statistics with a strong base of knowledge.
por KJMay 31, 2017
Overall good lectures and good practice material. Certainly not an introductory stat course - requires working knowledge of calculus and basic biostats.
por NBJan 17, 2016
I enjoyed the course. I wish there was perhaps a little more evaluation along the way (maybe occasional in-lecture questions), but otherwise very nice.
por HCJan 3, 2016
Good course, needs updating, since it was a first generation course. Worth taking, but make sure to review a bit of Calculus, especially integration.
por JYOct 19, 2015
Topics presented well for comprehension, good lecture quality.\n\nThese topics are covered in grad level statistics courses at certain universities.
por MCAug 30, 2017
The content is in-depth and the instructor is knowledgeable, but the quiz demands a quite wide knowledge base and does not provide feedback.
por ABDec 3, 2015
Thank you very much for your course. It is clear and to the point.\n\nBut it was very difficult to perceive a video-lectures of 30 minutes.
por HBJun 1, 2018
A whirlwind tour of statistics. Questions are very tough. You have to rack your brains hard, to solve them. But well worth the effort.
por DLSep 7, 2018
Love the course, and its willingness to delve into the basics of the theory behind biostatistics. Wish there were more like it.
por MSMar 27, 2018
I liked the course. Need good maths skills. Would prefer to have a review/HW after each lecture than at the end of each week.
por VVSep 8, 2018
Great course, excellent homework/quizzes and comparatively rigorous treatment by a great Prof.
por MLNov 26, 2015
I wish this Johns Hopkins course is more interactive. Like the Ohio State Calculus One class.
por ABJul 2, 2017
A solid course on some of the fundamental principles of statistics and probability.
por EPNov 1, 2017
Very advanced, I liked instructor, the way he explained, very understandable!
por ALFeb 9, 2017
Lectures are rigorous. Homework and Quiz problems are very helpful!
por WBOct 26, 2016
I wish there had been explanations on the homework assignments.
por ABFeb 22, 2016
Statistics was never this interesting! Thanks a ton Bryan!
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