About Course

Biostatistics in Public Health Specialization – FREE Online Course

This comprehensive Biostatistics in Public Health Specialization, offered by Johns Hopkins University, is perfect for public health professionals, healthcare professionals, researchers, data analysts, social workers, and anyone seeking a strong understanding of biostatistics. This course provides a concepts-centric primer on biostatistics, equipping you to confidently read and interpret scientific literature, including Methods and Results sections, across various fields like public health, medicine, and biological science.

By taking this course, you’ll gain the ability to:

Understand the key concepts and methods of biostatistics
Analyze and interpret statistical data
Critically evaluate research studies and their results
Contribute effectively as part of a research team

This specialization features an engaging approach where you’ll act as a biostatistical consultant, helping research teams navigate the complex world of scientific literature. You’ll revisit two key studies, one on asthma medication and another on injectable contraception, to provide insightful analysis and interpretation of the presented statistical methods and results.

This course is completely FREE and is available on platforms like Udemy, Coursera, Udacity, MasterClass, NearPeer, and other leading online learning platforms.

Enroll Now and unlock the power of biostatistics to advance your career and make a real difference in the field of public health!

Course Content

01. Summary Statistics in Public Health

A Message from the Professor
003 001_welcome.mp4

00:00
007 002_introduction-and-overview.mp4

00:00
011 003_samples-versus-population.mp4

00:00
015 004_considerations-with-regard-to-study-design.mp4

00:00
019 005_data-types-and-summarization.mp4

00:00
023 006_additional-examples.mp4

00:00
028 001_introduction.mp4

00:00
032 002_useful-summary-statistics.mp4

00:00
036 003_visual-displays.mp4

00:00
040 004_the-role-of-sample-size-on-sample-based-estimates.mp4

00:00
044 005_comparing-distributions-of-continuous-data.mp4

00:00
048 006_additional-examples.mp4

00:00
054 001_introduction.mp4

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058 002_the-standard-normal-distribution-defined.mp4

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062 003_applying-the-principles-of-the-normal-distribution-to-sample-data-to-estimate.mp4

00:00
066 004_what-happens-when-we-apply-the-properties-of-the-normal-distribution-to-data-not.mp4

00:00
070 005_additional-examples.mp4

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076 001_introduction.mp4

00:00
080 002_binary-data-definition-and-summarization-binomial-distribution-p-hat-sd.mp4

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084 003_comparing-distributions-of-binary-data-risk-difference-and-relative-risk.mp4

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088 004_comparing-distributions-of-binary-data-odds-ratios.mp4

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092 005_a-brief-note-about-ratios-will-also-be-revisited-later-in-the-course.mp4

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096 006_additional-examples.mp4

00:00
102 001_introduction.mp4

00:00
106 002_time-to-event-data-definition-censoring-and-numerical-summary-measures-incidence.mp4

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110 003_numerically-comparing-groups-on-time-to-event-outcomes.mp4

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114 004_summarizing-time-to-event-data-graphically.mp4

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118 005_graphically-comparing-groups-on-time-to-event-outcomes.mp4

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122 006_additional-examples.mp4

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123 001_practice-dealing-with-the-element-of-time_quiz.html

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126 002_course-project-quiz_exam.html

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Section Quiz

02. Hypothesis Testing in Public Health

005 001_introduction.mp4

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009 002_sampling-distribution-definition.mp4

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012 003_examples-sampling-distribution-for-a-single-mean.mp4

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015 004_examples-sampling-distribution-for-a-single-proportion-incidence-rate.mp4

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018 005_estimating-sampling-distribution-characteristics-from-single-samples-of-data.mp4

00:00
021 006_additional-examples.mp4

00:00
026 001_introduction.mp4

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030 002_confidence-intervals-for-single-population-parameters.mp4

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033 003_confidence-intervals-for-population-proportions-and-incidence-rates.mp4

00:00
037 004_so-what-is-a-confidence-interval-and-how-should-it-be-interpreted.mp4

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041 005_a-note-on-confidence-intervals-for-population-quantities-based-on-small-samples.mp4

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045 006_additional-examples.mp4

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051 001_introduction.mp4

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055 002_confidence-intervals-for-population-comparison-measures.mp4

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059 003_confidence-intervals-for-comparing-means-of-continuous-outcomes-between-two.mp4

00:00
063 004_confidence-intervals-for-binary-comparisons-part-1-difference-in-proportions.mp4

00:00
067 005_confidence-intervals-for-binary-comparisons-part-2-ratio-of-proportions-and-odds.mp4

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071 006_confidence-intervals-for-incidence-rate-ratios.mp4

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075 007_a-brief-note-about-ratios-again.mp4

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079 008_additional-examples.mp4

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080 001_practice-quiz-confidence-intervals-for-population-comparison-measures_quiz.html

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082 002_solutions-formative-assessment_instructions.html

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087 001_introduction.mp4

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091 002_hypothesis-testing-the-general-concept-and-for-comparing-means-between-two.mp4

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095 003_hypothesis-testing-comparing-means-between-two-populations-the-paired-approach.mp4

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099 004_hypothesis-testing-comparing-means-between-two-populations-the-unpaired-approach.mp4

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103 005_debriefing-on-the-p-value-part-1.mp4

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107 006_additional-examples.mp4

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108 001_practice-quiz-two-group-hypothesis-testing-the-general-concept-and-comparing_quiz.html

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110 002_solutions-formative-asessment_instructions.html

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114 001_introduction.mp4

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118 002_hypothesis-testing-comparing-proportions-between-two-populations-the-z-test.mp4

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122 003_hypothesis-testing-comparing-proportions-between-two-populations-chi-square-and.mp4

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126 004_hypothesis-tests-for-comparing-incidence-rates-between-two-populations.mp4

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130 005_debriefing-on-the-p-value-and-hypothesis-testing-part-2.mp4

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134 006_additional-examples.mp4

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137 001_introduction.mp4

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141 002_hypothesis-testing-comparing-means-between-more-than-two-populations-analysis-of.mp4

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145 003_hypothesis-testing-comparing-proportions-between-more-than-two-populations-chi.mp4

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149 004_hypothesis-testing-comparing-survival-curves-between-more-than-two-populations.mp4

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153 005_several-issues-to-consider.mp4

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154 001_practice-quiz_quiz.html

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157 002_course-project-quiz_exam.html

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Section Quiz

03. Simple Regression Analysis in Public Health

003 001_introduction.mp4

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007 002_simple-regression-an-overview.mp4

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011 003_simple-linear-regression-with-a-binary-or-nominal-categorical-predictor.mp4

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015 004_simple-linear-regression-with-a-categorical-predictor.mp4

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019 005_simple-linear-regression-with-a-continuous-predictor.mp4

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023 006_simple-linear-regression-model-estimating-the-regression-equation-accounting-for.mp4

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027 007_measuring-the-strength-of-a-linear-association.mp4

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031 008_additional-examples.mp4

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036 001_introduction.mp4

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040 002_simple-logistic-regression-an-overview.mp4

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044 003_simple-logistic-regression-with-a-binary-or-categorical-predictor.mp4

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047 004_simple-logistic-regression-with-a-continuous-predictor.mp4

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051 005_simple-logistic-regression-accounting-for-uncertainty-in-the-estimates.mp4

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055 006_estimating-risk-and-functions-of-risk-from-logistic-regression-results.mp4

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059 007_additional-examples.mp4

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065 001_introduction.mp4

00:00
069 002_simple-cox-regression-an-overview.mp4

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073 003_simple-cox-regression-with-a-binary-or-categorical-predictor.mp4

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077 004_simple-cox-regression-with-a-continuous-predictor.mp4

00:00
081 005_simple-cox-regression-accounting-for-uncertainty-in-the-estimates.mp4

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085 006_estimating-survival-curves-from-cox-regression-results.mp4

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089 007_additional-examples.mp4

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095 001_introduction.mp4

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099 002_confounding-a-formal-definition-and-some-examples.mp4

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103 003_adjusted-estimates-presentation-interpretation-and-utility-for-assessing.mp4

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107 004_adjusted-estimates-the-general-idea-behind-the-computations.mp4

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111 005_additional-examples.mp4

00:00
115 001_effect-modification-introduction-with-an-analytic-example.mp4

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119 002_effect-modification-tree-damage-and-elevation-example.mp4

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123 003_effect-modification-examples-from-the-literature.mp4

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127 004_confounding-versus-effect-modification-a-review.mp4

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131 005_additional-examples.mp4

00:00
132 001_practice-quiz-confounding-and-effect-modification_quiz.html

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04. Multiple Regression Analysis in Public Health

004 001_multiple-regression-an-overview.mp4

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006 002_multiple-linear-regression-some-examples.en.srt

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098 001_biostatistical-consulting-project_instructions.html

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010 003_multiple-linear-regression-basics-of-model-estimation-and-handling-uncertainty.en.srt

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003 001_multiple-regression-an-overview.en.txt

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008 002_multiple-linear-regression-some-examples.mp4

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014 004_estimate-group-means-and-mean-differences-for-groups-who-differ-in-more-than-one.en.srt

00:00
007 002_multiple-linear-regression-some-examples.en.txt

00:00
012 003_multiple-linear-regression-basics-of-model-estimation-and-handling-uncertainty.mp4

00:00
018 005_the-linearity-assumption-and-estimating-amount-of-variability-explained-by.en.srt

00:00
011 003_multiple-linear-regression-basics-of-model-estimation-and-handling-uncertainty.en.txt

00:00
016 004_estimate-group-means-and-mean-differences-for-groups-who-differ-in-more-than-one.mp4

00:00
022 006_examples-from-the-literature.en.srt

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015 004_estimate-group-means-and-mean-differences-for-groups-who-differ-in-more-than-one.en.txt

00:00
020 005_the-linearity-assumption-and-estimating-amount-of-variability-explained-by.mp4

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026 007_investigating-effect-modification-with-multiple-linear-regression-forthcoming.en.srt

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019 005_the-linearity-assumption-and-estimating-amount-of-variability-explained-by.en.txt

00:00
024 006_examples-from-the-literature.mp4

00:00
030 008_investigating-effect-modification-with-multiple-linear-regression-more-examples.en.srt

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023 006_examples-from-the-literature.en.txt

00:00
028 007_investigating-effect-modification-with-multiple-linear-regression-forthcoming.mp4

00:00
034 009_additional-examples-of-multiple-linear-regression.en.srt

00:00
027 007_investigating-effect-modification-with-multiple-linear-regression-forthcoming.en.txt

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032 008_investigating-effect-modification-with-multiple-linear-regression-more-examples.mp4

00:00
036 009_additional-examples-of-multiple-linear-regression.mp4

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042 001_multiple-logistic-regression-some-examples.en.srt

00:00
039 002_solutions-to-summative-quiz-1_instructions.html

00:00
044 001_multiple-logistic-regression-some-examples.mp4

00:00
050 003_estimating-group-odds-and-proportions-and-odds-ratios-for-groups-who-differ-in.en.srt

00:00
043 001_multiple-logistic-regression-some-examples.en.txt

00:00
048 002_multiple-logistic-regression-basics-of-model-estimation-and-handling-uncertainty.mp4

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054 004_the-linearity-assumption-and-a-brief-note-about-prediction-with-multiple.en.srt

00:00
047 002_multiple-logistic-regression-basics-of-model-estimation-and-handling-uncertainty.en.txt

00:00
052 003_estimating-group-odds-and-proportions-and-odds-ratios-for-groups-who-differ-in.mp4

00:00
058 005_examples-from-the-literature.en.srt

00:00
051 003_estimating-group-odds-and-proportions-and-odds-ratios-for-groups-who-differ-in.en.txt

00:00
056 004_the-linearity-assumption-and-a-brief-note-about-prediction-with-multiple.mp4

00:00
062 006_investigating-effect-modification-with-multiple-logistic-regression-part-1.en.srt

00:00
055 004_the-linearity-assumption-and-a-brief-note-about-prediction-with-multiple.en.txt

00:00
060 005_examples-from-the-literature.mp4

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066 007_investigating-effect-modification-with-multiple-logistic-regression-part-2.en.srt

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059 005_examples-from-the-literature.en.txt

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064 006_investigating-effect-modification-with-multiple-logistic-regression-part-1.mp4

00:00
070 008_additional-examples.en.srt

00:00
063 006_investigating-effect-modification-with-multiple-logistic-regression-part-1.en.txt

00:00
068 007_investigating-effect-modification-with-multiple-logistic-regression-part-2.mp4

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072 008_additional-examples.mp4

00:00
077 001_some-examples.en.srt

00:00
071 008_additional-examples.en.txt

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073 001_practice-quiz-multiple-logistic-regression_quiz.html

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074 002_solutions-to-practice-quiz-items-1-9_instructions.html

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079 001_some-examples.mp4

00:00
085 003_estimating-hazard-ratios-for-groups-who-differ-in-more-than-one-predictor-with.en.srt

00:00
078 001_some-examples.en.txt

00:00
083 002_basics-of-model-estimation-and-handling-uncertainty-in-the-resulting-estimates.mp4

00:00
089 004_the-linearity-assumption-and-prediction-with-multiple-cox-regression.en.srt

00:00
082 002_basics-of-model-estimation-and-handling-uncertainty-in-the-resulting-estimates.en.txt

00:00
087 003_estimating-hazard-ratios-for-groups-who-differ-in-more-than-one-predictor-with.mp4

00:00
093 005_examples-from-the-literature.en.srt

00:00
086 003_estimating-hazard-ratios-for-groups-who-differ-in-more-than-one-predictor-with.en.txt

00:00
091 004_the-linearity-assumption-and-prediction-with-multiple-cox-regression.mp4

00:00
095 005_examples-from-the-literature.mp4

00:00
002 001_multiple-regression-an-overview.en.srt

00:00
Section Quiz

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About Course

Biostatistics in Public Health Specialization – FREE Online Course

What Will You Learn?

Course Content

01. Summary Statistics in Public Health

A Message from the Professor

003 001_welcome.mp4

007 002_introduction-and-overview.mp4

011 003_samples-versus-population.mp4

015 004_considerations-with-regard-to-study-design.mp4

019 005_data-types-and-summarization.mp4

023 006_additional-examples.mp4

028 001_introduction.mp4

032 002_useful-summary-statistics.mp4

036 003_visual-displays.mp4

040 004_the-role-of-sample-size-on-sample-based-estimates.mp4

044 005_comparing-distributions-of-continuous-data.mp4

048 006_additional-examples.mp4

054 001_introduction.mp4

058 002_the-standard-normal-distribution-defined.mp4

062 003_applying-the-principles-of-the-normal-distribution-to-sample-data-to-estimate.mp4

066 004_what-happens-when-we-apply-the-properties-of-the-normal-distribution-to-data-not.mp4

070 005_additional-examples.mp4

076 001_introduction.mp4

080 002_binary-data-definition-and-summarization-binomial-distribution-p-hat-sd.mp4

084 003_comparing-distributions-of-binary-data-risk-difference-and-relative-risk.mp4

088 004_comparing-distributions-of-binary-data-odds-ratios.mp4

092 005_a-brief-note-about-ratios-will-also-be-revisited-later-in-the-course.mp4

096 006_additional-examples.mp4

102 001_introduction.mp4

106 002_time-to-event-data-definition-censoring-and-numerical-summary-measures-incidence.mp4

110 003_numerically-comparing-groups-on-time-to-event-outcomes.mp4

114 004_summarizing-time-to-event-data-graphically.mp4

118 005_graphically-comparing-groups-on-time-to-event-outcomes.mp4

122 006_additional-examples.mp4

123 001_practice-dealing-with-the-element-of-time_quiz.html

126 002_course-project-quiz_exam.html

Section Quiz

02. Hypothesis Testing in Public Health

005 001_introduction.mp4

009 002_sampling-distribution-definition.mp4

012 003_examples-sampling-distribution-for-a-single-mean.mp4

015 004_examples-sampling-distribution-for-a-single-proportion-incidence-rate.mp4

018 005_estimating-sampling-distribution-characteristics-from-single-samples-of-data.mp4

021 006_additional-examples.mp4

026 001_introduction.mp4

030 002_confidence-intervals-for-single-population-parameters.mp4

033 003_confidence-intervals-for-population-proportions-and-incidence-rates.mp4

037 004_so-what-is-a-confidence-interval-and-how-should-it-be-interpreted.mp4

041 005_a-note-on-confidence-intervals-for-population-quantities-based-on-small-samples.mp4

045 006_additional-examples.mp4

051 001_introduction.mp4

055 002_confidence-intervals-for-population-comparison-measures.mp4

059 003_confidence-intervals-for-comparing-means-of-continuous-outcomes-between-two.mp4

063 004_confidence-intervals-for-binary-comparisons-part-1-difference-in-proportions.mp4

067 005_confidence-intervals-for-binary-comparisons-part-2-ratio-of-proportions-and-odds.mp4

071 006_confidence-intervals-for-incidence-rate-ratios.mp4

075 007_a-brief-note-about-ratios-again.mp4

079 008_additional-examples.mp4

080 001_practice-quiz-confidence-intervals-for-population-comparison-measures_quiz.html

082 002_solutions-formative-assessment_instructions.html

087 001_introduction.mp4

091 002_hypothesis-testing-the-general-concept-and-for-comparing-means-between-two.mp4

095 003_hypothesis-testing-comparing-means-between-two-populations-the-paired-approach.mp4

099 004_hypothesis-testing-comparing-means-between-two-populations-the-unpaired-approach.mp4

103 005_debriefing-on-the-p-value-part-1.mp4

107 006_additional-examples.mp4

108 001_practice-quiz-two-group-hypothesis-testing-the-general-concept-and-comparing_quiz.html

110 002_solutions-formative-asessment_instructions.html

114 001_introduction.mp4

118 002_hypothesis-testing-comparing-proportions-between-two-populations-the-z-test.mp4

122 003_hypothesis-testing-comparing-proportions-between-two-populations-chi-square-and.mp4

126 004_hypothesis-tests-for-comparing-incidence-rates-between-two-populations.mp4

130 005_debriefing-on-the-p-value-and-hypothesis-testing-part-2.mp4

134 006_additional-examples.mp4

137 001_introduction.mp4

141 002_hypothesis-testing-comparing-means-between-more-than-two-populations-analysis-of.mp4

145 003_hypothesis-testing-comparing-proportions-between-more-than-two-populations-chi.mp4

149 004_hypothesis-testing-comparing-survival-curves-between-more-than-two-populations.mp4

153 005_several-issues-to-consider.mp4