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Understanding Clinical Research: Behind the Statistics · LearnSpace
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Understanding Clinical Research: Behind the Statistics

Курс от University of Cape Town
Начальный≈ 27.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

If you’ve ever skipped over the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started! The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available.

Навыки, которые вы освоите

Statistical Hypothesis TestingDescriptive StatisticsProbability & StatisticsStatistical AnalysisStatistical MethodsStatisticsClinical ResearchData LiteracyBiostatisticsStatistical InferenceMedical Science and ResearchProbabilityQuantitative ResearchScientific MethodsClinical TrialsDiagnostic TestsEpidemiologyScience and Research

Программа курса

6 модулей · 150 учебных материалов

01Getting things started by defining study types25 материалов

Welcome to the course

Introduction to Understanding Clinical ResearchВидеоAbout the courseВидеоHow this course worksЧтениеPre-course surveyЧтение

Учитесь у экспертов

Juan H Klopper

Dr

Understanding Clinical Research: Behind the Statistics
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Обучение на Coursera

≈ 27.4 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

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Introduce yourselfDIALOGUE

What are the different clinical study types?

Study typesЧтениеObserving and intervening: Observational & experimental studiesВидеоKey notes: Observational and experimental studiesЧтениеObserving and describing: Case series studiesВидеоKey notes: Case series studiesЧтениеComparing groups: Case-control studiesВидеоKey notes: Case-control studiesЧтениеCollecting data at one point in time: Cross-sectional studiesВидеоKey notes: Cross-sectional studiesЧтениеStudying a group with common traits: Cohort studiesВидеоKey notes: Cohort studiesЧтениеLet's intervene: Experimental studiesВидеоKey notes: Experimental studiesЧтениеWorking with existing research: Meta-analysis and Systematic ReviewВидеоKey notes: Meta-analysis and systematic reviewЧтениеTest your knowledge: Study typesЗадание

Navigating clinical research: Peer review exercise

Peer review introductionЧтениеDoing a literature search: Part 1ВидеоWeek 1: Navigating Clinical ResearchВзаимная проверкаDoing a literature search: Part 2Видео
02Describing your data 33 материалов

The spectrum of data types

IntroductionВидеоSome key concepts: DefinitionsВидеоKey notes: DefinitionsЧтениеData typesВидеоKey notes: Data typesЧтениеArbitary classification: Nominal categorical dataВидеоKey notes: Nominal categorical dataЧтениеNatural ordering of attributes: Ordinal categorical dataВидеоKey notes: Ordinal categorical dataЧтениеMeasurements and numbers: Numerical data typesВидеоKey notes: Numerical data typesЧтениеHow to tell the difference: Discrete and continuous variablesВидеоKey notes: Discrete and continuous variablesЧтениеTest your knowledge: Data typesЗадание

Summarising data through simple descriptive statistics

IntroductionВидеоKey notes: Describing the dataЧтениеMeasures of central tendencyВидеоKey notes: Measures of central tendencyЧтениеMeasures of dispersionВидеоKey notes: Measures of dispersionЧтение

Methods of obtaining sample subjects for research

Making inferences: SamplingВидеоKey notes: SamplingЧтениеTypes of samplingВидеоKey notes: Types of samplingЧтениеTest your knowledge: SamplingЗадание

End of Section 2

Case study 1ВидеоWeek 2 Graded Quiz ЗаданиеShare an example of clinical researchDIALOGUE

Honors: Identifying measures of central tendency and dispersion

Identify measures of central tendency and dispersionВзаимная проверка
03Building an intuitive understanding of statistical analysis30 материалов

From area to probability

P-values: P is for probabilityВидеоKey notes: P-valuesЧтениеWorking out the probability: Rolling diceВидеоKey notes: Rolling diceЧтениеArea under the curve: Continuous data typesВидеоKey notes: Continuous data typesЧтениеTest your knowledge: ProbabilityЗадание

The heart of inferential statistics: Central limit theorem

Introduction to the central limit theorem: The heart of probability theoryВидеоIntroduction to the central limit theoremЧтениеAsymmetry and peakedness: Skewness and KurtosisВидеоKey notes: Skewness and kurtosisЧтениеLearning from the lotto: CombinationsВидеоKey notes: CombinationsЧтение

Distributions: The shape of data

Patterns in the data: DistributionsВидеоKey notes: DistributionsЧтениеThe bell-shaped curve: Normal distributionВидеоKey notes: Normal distributionЧтениеPlotting a sample statistic: Sampling distributionВидеоKey notes: Sampling distributionЧтение
04The important first steps: Hypothesis testing and confidence levels17 материалов

Reject or fail to reject? That is hypothesis testing.

Introduction to Hypothesis TestingВидеоTesting assumptions: Null and alternative hypothesisВидеоKey notes: Null and alternative hypothesisЧтениеIs there a difference?: Alternative HypothesisВидеоKey notes: Alternative hypothesisЧтениеType I and II: Hypothesis testing errorsВидеоKey notes: Hypothesis errorsЧтениеTesting your knowledge: HypothesisЗадание

Confidence in your results

Introduction to confidence intervalsВидеоKey notes: Introduction to confidence intervalsЧтениеHow confident are you?: Confidence levelsВидеоKey notes: Confidence levelsЧтениеInterval estimation: Confidence intervalsВидеоKey notes: Confidence intervalsЧтение
05Which test should you use?24 материалов

Parametric testing for your normal data

Introduction to parametric testsВидеоKey notes: Parametric testsЧтениеStudent's t-testВидеоKey notes: Student's t-testЧтениеANOVAВидеоKey notes: ANOVAЧтениеLinear RegressionВидеоKey notes: Linear regressionЧтение(Optional) Student's t-test in actionВидеоTest your knowledge: Parametric testsЗадание

Non-parametric testing for your non-normal data

Introduction to nonparametric testsВидеоChecking for normalityВидеоKey notes: Nonparametric testsЧтениеThinking nonparametricallyВидеоComparing paired observations: SignsВидеоOrdering values: RankingВидео
06Categorical data and analyzing accuracy of results 21 материалов

Comparing categorical data

Introduction to comparing categorical dataВидеоObserved frequencies: Contingency tablesВидеоComparing observed and expected values: Chi-square testВидеоAssociation between two variables: Fisher's exact testВидеоKey notes: Comparing categorical dataЧтение(Optional) Calculating chi-square test using spreadsheet softwareВидеоTesting your knowledge: Comparing categorical dataЗадание

Sensitivity, specificity and predictive values

Introduction to sensitivity and specificityВидеоMeasuring performance: Sensitivity and specificityВидеоProportions of results: Positive and negative predictive valuesВидеоKeynotes: Sensitivity, specificity, positive and negative predictive valuesЧтениеTest your knowledge: Sensitivity, specificity and predictive valuesЗаданиеWeek 6 Final examinationЗадание

Relative risks

Risk and odds ratiosЧтениеIntrodution to risk and odds ratiosВидеоRisk and odds ratios - Losses (Risk)ВидеоRisk and odds ratios - Losses (Odds)ВидеоRisk and odds ratios - WinsВидеоRisk and odds ratios exampleВидео
Visual representation of dataЧтение
(Optional) Setting up spreadsheets to do your own analysisВидео
(Optional) Descriptive statistics using spreadsheetsВидео
Test your knowledge: Measures of central tendency and dispersionЗадание
Approximating a bell-shaped curve: The central limit theoremВидео
Key notes: Central limit theoremЧтение
Test your knowledge: The central limit theoremЗадание
Standard normal distribution: Z distributionВидео
Key notes: Z-distributionЧтение
Estimating population parameters: t-distributionВидео
Key notes: The t-distibutionЧтение
(Optional) Generating random data point values using spreadsheet softwareВидео
Test your knowledge: DistributionsЗадание
Case study 2Видео
Week 3 Graded QuizЗадание
(Optional) Calculating confidence intervals using spreadsheet softwareВидео
Test your knowledge: Confidence intervalsЗадание
Week 4 Peer reviewВзаимная проверка
Paired comparisons: Sign ranksВидео
Summation of ranks: Rank sumsВидео
Comparing two populations: Mann-Whitney-U testВидео
More nonparametric testsВидео
Key notes: Nonparametric testsЧтение
Test your knowledge: Non-parametric testsЗадание
Case study 3Видео
Week 5 Graded QuizЗадание
Congratulations on completing the courseЧтение
Honors: Risk and odds ratios Задание