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Blog
Biostatistics
One Categorical Variable (13 mins)
Read the entire web page.
Summarize and describe the distribution of a categorical variable and understand the uses and implications of the normal distribution.
Click
https://stats.libretexts.org/Bookshelves/Applied_Statistics/Biostatistics_-_Open_Learning_Textbook/Unit_1%3A_Exploratory_Data_Analysis/One_Categorical_Variable
link to open resource.
◄ Chapter 4 – Exploratory Data Analysis (25 mins)
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Course Registration
Peer Corner
Pre-test
Biostatisticians: Do You Know What They Do? (4 minutes)
Johns Hopkins Bloomberg School of Public Health – Statistics for laboratory scientists I (5 mins)
Basic statistical tools in research and data analysis (22 mins)
NHANES descriptive statistics
Levels of Measurement (15 mins)
Introductory Statistics (80 mins)
Chapter 4 – Exploratory Data Analysis (20 mins)
Chapter 2 – Defining and Classifying Data Variables (20 mins)
Quiz: Module 1: Lesson 2
Types of Variables (14 mins)
Chapter 4 – Exploratory Data Analysis (25 mins)
Statistics by Example (35 mins)
4.2 – The Normal Curve (10 mins)
Quiz: Module 1: Lesson 3
Introductory Statistics (45 mins)
Dr. Elizabeth Newton – 15.075, Applied Statistics (15 mins)
Importance of using basic statistics adequately in clinical research (26 mins)
Webinar Using Data to Guide and Evaluate Responses to the Opioid Crisis Rhode Island's Drug Overdose
Peer-to-Peer Activity
Mentored Activity
Quiz: Module 1: Lesson 4
2.7 – Statistical Ethics (2 mins)
Introduction to Probability (30 mins)
Introductory Statistics (25 mins)
Basic Probability Rules (40 mins)
Introductory Statistics (40 mins)
Quiz: Module 2: Lesson 1
Johns Hopkins Bloomberg School of Public Health – Probability (15 mins)
Johns Hopkins Bloomberg School of Public Health – Probability Concepts (35 mins)
Unit 3B: Random Variables (80 mins)
3.2.2 – Binomial Random Variables (15 mins)
Sampling (30 mins)
Inferential Statistics (15 mins)
Chapter 3 - Review of Probability (105 mins)
Introduction to Sampling Distributions (20 mins)
Central Limit Theorem (11 mins)
The Sampling Distribution (10 mins)
Normal Random Variables (80 mins)
1.5.1 – Measures of Central Tendency (30 mins)
Asynchronous Learning Activity: Probability and Sampling Distributions Problem Set
Quiz: Module 2: Lesson 2
Introduction to Estimation (30 mins)
4.2 – Introduction to Confidence Intervals (7 mins)
Introductory Statistics (60 mins)
Module 5: Interval Estimation (9 mins)
Basic Concepts of Inference (60 mins)
Quiz: Module 3: Lesson 1
9.1 – Confidence Intervals for a Population Proportion (13 mins)
Power and Sample Size Determination (30 mins)
Confidence Intervals Introduction (30 mins)
Quiz: Module 3: Lesson 2
S.3 Hypothesis Testing (45 mins)
Significance Testing (15 mins)
1.1.2 – Explanatory and Response Variables (3 mins)
10.1 – Setting the Hypotheses: Examples (9 mins)
Significance Testing and Confidence Intervals (7 mins)
Quiz: Module 4: Lesson 1
Biostatistics Series Module 2: Overview of Hypothesis Testing (26 mins)
7.1.5. What is the relationship between a test and a confidence interval? (2 mins)
Introductory Statistics (60 mins)
Introductory Statistics (30 mins)
Introductory Statistics (40 mins)
8.1 – The Chi-Squared Test for Independence (26 mins)
Lesson 10: Introduction to ANOVA (30 mins)
6. Statistical Inference and Hypothesis Testing: 6.1 One Sample (45 mins)
6. Statistical Inference and Hypothesis Testing: 6.2 Two Samples (28 mins)
When to use the Bonferroni correction (26 mins)
P-Value, A True Test of Statistical Significance? A Cautionary Note (33 mins)
Statistical Notes for Clinical Researchers: Type I and Type II errors in statistical decision (16 mins)
Quiz: Module 4: Lesson 2
Common Pitfalls in Statistical Analysis: P-values, statistical significance, and confidence intervals (7 mins)
Sample size, power and effect size (80 mins)
Sample Size Estimation in Clinical Trial (16 mins)
Quiz: Module 4: Lesson 3
Biostatistics Series Module 5: Determining Sample Size (43 mins)
How to Calculate Sample Size for Different Study Designs in Medical Research (35 mins)
Sample Size Calculations: Basic principles and common pitfalls (43 mins)
Nonparametric Tests (60 mins)
Statistical Notes for Clinical Researchers: Nonparametric statistical methods: 1. Nonparametric methods for comparing two groups (11 mins)
Statistical Notes for Clinical Researchers: Nonparametric statistical methods: 2. Nonparametric methods for comparing three or more groups and repeated measures (9 mins)
Quiz: Module 4: Lesson 4
Basic Biostatistics for Post-Graduate Students (18 mins)
Choosing a Statistical Test (8 mins)
Asynchronous Learning Activity 3: Hypothesis Testing Problem 1
Peer Activity 4: Hypothesis Testing Problem 2
Asynchronous Learning Activity 5: Hypothesis Testing Problem 3
Asynchronous Learning Activity 6: Hypothesis Testing Problem 4
Introductory Statistics (55 mins)
Correlation and linear regression (20 mins)
1.1 - What is Simple Linear Regression? (40 mins)
Simple Linear Regression (40 mins)
Lesson 2: SLR Model Evaluation (60 mins)
Inferential Statistics for b and r (2 mins)
Lesson 3: SLR Estimation & Prediction (30 mins)
Lesson 4: SLR Model Assumptions (50 mins)
Quiz: Module 5: Lesson 1
Common pitfalls in statistical analysis: The use of correlation techniques (12 mins)
Introductory Statistics (40 mins)
Statistical Reasoning II: Lecture Notes (60 mins)
Lesson 5: Multiple Linear Regression (30 mins)
Quiz: Module 5: Lesson 2
Primer on binary logistic regression (15 mins)
Logistic Regression (60 mins)
15.1 - Logistic Regression (60 mins)
Common pitfalls in statistical analysis: Odds versus risk (10 mins)
Common pitfalls in statistical analysis: Absolute risk reduction, relative risk reduction, and number needed to treat (10 mins)
8.3 - Risk, Relative Risk and Odds (5 mins)
Quiz: Module 5: Lesson 3
Common pitfalls in statistical analysis: Logistic regression (17 mins)
15.4 - Poisson Regression (30 mins)
Principles of Regression Analysis (24 mins)
Asynchronous Learning Activity: Linear Regression Problem Set #1
Asynchronous Learning Activity: Logistic Regression Problem Set #2
Quiz: Module 5: Lesson 4
Introduction to Multivariate Regression Analysis (31 mins)
3.5 - Bias, Confounding and Effect Modification (30 mins)
Confounding and Effect Modification in Biostatistics (75 mins)
Confounding and Effect Measure Modification - Conditions Necessary for Confounding (60 mins)
Quiz: Module 6: Lesson 1
Multivariable Methods - Effect Modification (8 mins)
6.4 - Error, Confounding, Effect Modification in Ecological Studies (2 mins)
Confounding Bias, Part I (60 mins)
Confounding Bias, Part II and Effect Measure Modification (60 mins)
Cigarette smoking: an underused tool in high-performance endurance training (9 mins)
Assessing bias: the importance of considering confounding (15 mins)
Mentored Activity
Quiz: Module 6: Lesson 2
Statistical methods used in the public health literature and implications for training of public health professionals (32 mins)
Helping Doctors and Patients Make Sense of Health Statistics (100 mins)
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations (55 mins)
The misuse and abuse of statistics in biomedical research (22 mins)
Quiz: Module 7: Lesson 1
National Health and Nutrition Examination Survey - Data Accomplishments (8 mins)
Did You Know? Video Series (5 mins)
Biostatistics: fundamental concepts and practical applications (6 mins)
CDC’s Alcohol Screening and Brief Intervention Efforts
Bringing Data Science to Addiction Research #3
Asynchronous Learning Activity: Read and summarize a paper for statistical methods, results, and conclusions
Mentored activity: Analyze and discuss the implications of public health data
Quiz: Module 7: Lesson 2
Quiz 2: Module 7: Lesson 2
Lessons from Prevention Research DrugFacts
Finding Evidence-based Programs and Practices
Biostatistics: fundamental concepts and practical applications (15 mins)
Peer Activities
Statistics by Example (35 mins) ►
Biostatistics
General
How to create an account and enroll in the course?
Biostatistics Homepage
Module 1: The Basics of Biostatistics
Module 1: Lesson 1: Introduction to Biostatistics
Module 1: Lesson 2: Types of Variables, Plots, and Graphs
Module 1: Lesson 3: Descriptive Statistics and Distribution
Module 1: Lesson 4: Data Analysis and Study Design
Module 2: Probability and Sampling Distributions
Module 2: Lesson 1: Probability, Frequency, and the Concepts of Probability
Module 2: Lesson 2: Variables, Sampling, and Distribution
Module 3: Confidence Intervals
Module 3: Lesson 1: Point and Confidence Interval Estimation
Module 3: Lesson 2: Effect of Sample Size on Confidence Interval
Module 4: Hypothesis Testing
Module 4: Lesson 1: Principles of Hypothesis Testing
Module 4: Lesson 2: Applications of Hypothesis Testing
Module 4: Lesson 3: Power and Sample Size
Module 4: Lesson 4: Nonparametric Tests
Module 5: Regression Analysis
Module 5: Lesson 1: Simple Linear Regression Analysis
Module 5: Lesson 2: Multiple Linear Regression Analysis
Module 5: Lesson 3: Logistic Regression Analysis
Module 5: Lesson 4: Overview of Correlation and Regression Analysis
Module 6: Confounding and Interactions
Module 6: Lesson 1: Confounding and Effect Modification
Module 6: Lesson 2: Confounders and their Impact on Study Conclusions
Module 7: Biostatistics in Public Health
Module 7: Lesson 1: Limitations and Misinterpretations of Biostatistics
Module 7: Lesson 2: Biostatistics in Public Health Programs
Final Exam
Course and Self Evaluation & Certificate
Course Activities
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