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M7 Biostatistics (SCFHS)

Von David Spade, PhD, Raywat Deonandan, PhD

This course is intended to help trainees understand fundamental concepts and methods of statistics as applied to home health. The module includes basic concepts in descriptive and inferential statistics as they apply to health and nursing research. Additionally, it provides trainees with the main concepts for testing statistical hypotheses, as well as the identification of specific statistical techniques.

Course Objectives

By the end of the course, each trainee will be able to:
  1. Demonstrate familiarity with statistical terminology and the purpose of statistics.
  2. Identify different ways/ methods of organizing and summarizing data.
  3. Define and compute measures of central tendency and variability.
  4. Integrate the concept of statistical data analysis with the context of the research process.
  5. Utilize necessary statistical background for analyzing data and drawing inferences
  6. Exhibit understanding the logic of hypothesis testing.

Inhalte

Statistics: Basics

play symbol Epidemiology and Statistics
04:27
lecture locked Types of Variables – Statistics Basics
01:05
lecture locked Dichotomous Variables – Statistics Basics
06:28
lecture locked Null Hypothesis – Statistics Basics
02:03
lecture locked p-Value – Statistics Basics
02:56
lecture locked Confidence Intervals – Statistics Basics
02:20
lecture locked Learning Outcomes – Statistics Basics
00:44
Quiz zum Kurs „Statistics: Basics“

Statistical Biases

play symbol Definition of Bias
04:49
lecture locked Selection Bias
04:54
lecture locked Healthy Worker Effect
01:11
lecture locked Loss to Follow-up Bias
02:17
lecture locked Berkson Bias
02:56
lecture locked Learning Outcomes I – Statistical Biases
00:18
lecture locked Information Bias
01:13
lecture locked Misclassification Bias
06:13
lecture locked Response Bias
01:45
play symbol Detection Bias
02:30
lecture locked Learning Outcomes II – Statistical Biases
00:17
lecture locked Learning Goals – Statistical Biases
00:52
lecture locked Hawthorne and Rosenthal Effect
03:52
lecture locked Confounding Bias
03:59
lecture locked Effect Modification
04:33
lecture locked Learning Outcomes III – Statistical Biases
00:29
Quiz zum Kurs „Statistical Biases“

Statistics Part 1

play symbol Introduction to Statistics
11:29
lecture locked Contingency Tables
17:53
lecture locked Summarizing Quantitative Variables
18:44
lecture locked Comparing Distributions
10:58
lecture locked Standardizing Data and the Normal Distribution Part 1
24:01
lecture locked Standardizing Data and the Normal Distribution Part 2
17:57
lecture locked Linear Regression
20:07
lecture locked Addressing Issues with Regression Assumptions
12:27
lecture locked Randomness and Survey Sampling
20:08
lecture locked Experiments and Observational Studies
23:09
lecture locked Introduction to Probability
13:30
lecture locked General Rules of Probability
22:59
lecture locked Random Variables
11:37
lecture locked Probability Models
16:30
Quiz zum Kurs „Statistics Part 1“

Statistics Part 2

play symbol Sampling Distributions for Proportions and Means
12:07
lecture locked Confidence Intervals for Proportions
15:19
lecture locked Testing Hypotheses about Proportions
16:43
lecture locked More about Hypothesis Tests
14:04
lecture locked Comparing two Proportions
13:43
lecture locked Inference for Means
13:33
lecture locked Comparing two Means
12:40
lecture locked Inference for Paired Data
08:17
lecture locked Categorical Data Analysis
14:43
lecture locked Inference for Regression
08:32
Quiz zum Kurs „Statistics Part 2“

Measures of Association

play symbol Relative Risks (Measures of Association): Introduction
01:57
lecture locked Contingency Table – Relative Risks (Measures of Association)
05:01
lecture locked Relative Risk – Relative Risks (Measures of Association)
05:57
lecture locked Learning Outcomes – Relative Risks (Measures of Association)
00:19
lecture locked Attributable Risk and Odds Ratio (Measures of Association): Introduction
00:59
lecture locked Attributable Risk – Attributable Risk and Odds Ratio (Measures of Association)
06:37
lecture locked Odds Ratio – Attributable Risk and Odds Ratio (Measures of Association)
06:00
Quiz zum Kurs „Measures of Association“

Validity and Reliability

play symbol Validity & Reliability: Introduction
02:19
lecture locked Causality
06:04
lecture locked Causal Relationship: Possibilities
03:03
lecture locked Reliability
02:38
lecture locked External Validity
06:27
Quiz zum Kurs „Validity and Reliability“

Data

play symbol Measurement – Data
04:24
lecture locked Levels of Measurement – Data
04:48
lecture locked Distribution – Data
04:32
lecture locked Type I and Type II Errors – Data
05:11
lecture locked Learning Outcomes – Data
00:52
Quiz zum Kurs „Data“
Quiz zum Kurs „M7 Biostatistics (SCFHS)“

Details

  • Enthaltene Vorträge: 64
  • Laufzeit: 8:20 h
  • Enthaltene Quizfragen: 273
  • Enthaltene Lernmaterialien: 33

Dozenten des Kurses M7 Biostatistics (SCFHS)

 David Spade, PhD

David Spade, PhD

Dr. David Spade is an Assistant Professor of Mathematical Sciences and Statistics at the University of Wisconsin-Milwaukee and holds a courtesy appointment as an Assistant Professor of Statistics at the University of Missouri-Kansas City, USA.
He obtained his MS in Statistics in 2010 and then completed his PhD in Statistics from Ohio State University in 2013.
An experienced mathemathics instructor, Dr. Spade has been teaching diverse statistics courses from the introductory to the graduate level since 2007.
Within Lecturio, he teaches courses on Statistics.

 Raywat Deonandan, PhD

Raywat Deonandan, PhD

Dr. Raywat Deonandan is a Global Health Epidemiologist and an Associate Professor of Health Sciences at the University of Ottawa, Canada.
He obtained his PhD in Epidemiology and Biostatistics from the University of Western Ontario in 2001. He is also the founder and Executive Editor of the Interdisciplinary Journal of Health Sciences, and an award-winning author and journalist.
Dr. Deonandan embraces new media to engage in public education and co-hosts a science education podcast. In 2016, he received the OCUFA Teaching Award, the highest professorial teaching honour in Ontario.
Within Lecturio, he teaches courses on Epidemiology and Biostatistics."


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Table and explanation visible at the same time
von Cassandra W. am 10. March 2024 für Probability Models

I think it would’ve been easier to follow if the table that he’ refers to is visible at the same time he’s giving the explanation..

 
Learnt a lot!
von Taha A. am 11. April 2023 für Confidence Intervals – Statistics Basics

Nice and brief explanation of what confidence intervals are. Also the different tests are explained well.

 
Very Good Lecture.
von Mike P. am 10. January 2023 für Odds Ratio – Attributable Risk and Odds Ratio (Measures of Association)

Good explanations with examples to help facilitate understanding. The presenter simplified some very complex measures.

 
Clear & concise
von Stefan W. am 12. July 2022 für p-Value – Statistics Basics

To the point and bringing great clarity, well done Dr Deonandan