Biostatistics Methods – Part 2 - Edukite

9/15/2019

Biostatistics Methods – Part 2 - Edukite

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Biostatistics Methods – Part 2 ( 9 REVIEWS ) 

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Assessment This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, …

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Biostatistics Methods – Part 2 - Edukite

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LEVEL 2 - CERTIFICATE COURSE BADGE COURSE CERTIFICATE

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4 HOURS, 42 MINUTES

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CURRICULUM

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Assessment This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

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COURSE CURRICULUM

Module: 01

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Lecture Number 1 Set Theory Basics and Probability

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Biostatistics Methods – Part 2 - Edukite

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Lecture Number 2 Introduction to Probability

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Lecture Number 3 Expected Values

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00:10:00

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Lecture Number 4 Random Vectors, Independence

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00:10:00

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Lecture Number 5 Conditional Probabilities, Baye’s Rule

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00:12:00

Module: 02

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Lecture Number 6 Likelihood

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Lecture Number 7 Distributions

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Lecture Number 8 Asymptotics

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00:10:00

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Lecture Number 9 Con dence Intervals

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00:15:00

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Lecture Number 10 Con dence Intervals

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00:07:00

Module: 03

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Lecture Number 11 Presentation of Data

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00:15:00

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Lecture Number 12 Bootstrapping

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00:07:00

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Lecture Number 13 Con dence Intervals for Binomial Proportions

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00:15:00

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Lecture Number 14 Logs and Geometric Means

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00:08:00

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Lecture Number 15 Hypothesis Testing

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00:10:00

Module: 04

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Lecture Number 17 Power and sample size and two group tests

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Biostatistics Methods – Part 2 - Edukite

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Lecture Number 18 Tests for binomial proportions

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00:10:00

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Lecture Number 19 Two sample binomial tests, delta method

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00:08:00

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Lecture Number 21 Fisher’s exact tests, Chi-squared tests

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00:10:00

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Lecture Number 20 Two sample binomial tests, delta method

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00:07:00

Module: 05

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Lecture Number 22 Fisher’s exact tests, Chi-squared tests

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00:15:00

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Lecture Number 23 Simpson’s pardox, confounding

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00:10:00

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Lecture Number 24 Retrospective case-control studies, exact inference for the odds ratio

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00:10:00

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Lecture Number 25 Methods for matched pairs, McNemar’s, conditional versus marginal odds ratios

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00:10:00

Module: 06

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Lecture Number 26 Non-parametric tests, permutation tests

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00:15:00

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Lecture Number 27 Inference for Poisson counts

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00:15:00

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Lecture Number 28 Multiplicity

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00:08:00

Assessment

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Submit Your Assignment

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