Biostatistics: Webinar Using Data to Guide and Evaluate Responses to the Opioid Crisis Rhode Island's Drug Overdose

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Introduction

Course Registration

Peer Corner

Pre-test

Module 1: The Basics of Biostatistics

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)

Biostatistics

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)

Types of Variables (14 mins)

Chapter 4 – Exploratory Data Analysis (25 mins)

One Categorical Variable (13 mins)

Statistics by Example (35 mins)

4.2 – The Normal Curve (10 mins)

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

2.7 – Statistical Ethics (2 mins)

Module 2: Probability and Sampling Distributions

Introduction to Probability (30 mins)

Introductory Statistics (25 mins)

Basic Probability Rules (40 mins)

Introductory Statistics (40 mins)

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

Module 3: Confidence Intervals

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)

9.1 – Confidence Intervals for a Population Proportion (13 mins)

Power and Sample Size Determination (30 mins)

Confidence Intervals Introduction (30 mins)

Module 4: Hypothesis Testing

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)

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)

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)

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)

Basic Biostatistics for Post-Graduate Students (18 mins)

Lesson 3: SLR Estimation & Prediction (30 mins)