Education & Certification
- Infection Prevention Training & Education
- APIC 2020 Annual Conference
- Face-to-Face Learning
- Online Learning
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- NEW! Bundled Learning Options
- Group Training
- EPI® in Long-Term Care Certificate Series
- Accreditation & Contact Hours
Learn about the important of statistics in infection prevention and control and get the tools to apply the learning to your role.
A working knowledge of statistics is a requirement for an effective infection prevention and control (IPC) program. Infection preventionsts must be able to collect, organize, and analyze data, and know how to use the appropriate statistical methods to interpret data.
This four module course covers
- descriptive statistics
- inferential statistics
- ratios, rates, and proportions in two parts
Proficiency Level:
Novice
Domain:
Quality Improvement
CNEs:
2.5
Member Price:
$75
Non-Member Price:
$125
Learning Objectives
At the end of this practical skills-level course, participants will be able to:
- Explain the different types of quantitative data
- Explain the different types of categorical data
- Describe the various measures of central tendency
- Describe the various measures of spread
- Explain the difference between descriptive and inferential statistics
- Describe the various measures of frequency
- Explain the concept of measures of association
- Define null hypothesis
- Define alternative hypothesis
- Explain the concept of p-value
- Explain reliability, sensitivity, and specificity
- Differentiate between positive and negative predictive value
- Explain what “percentiles” mean
- Define what the Standardized Infection Ratio (SIR) reports
- Generate a SIR
COURSE MODULES
The four course modules cover a number of key topics in statistics that all IPs need to know to successfully manage their infection prevention and control programs.
Module 1: Descriptive Statistics
Module 1 topics include:
- Why we need statistics in infection prevention
- Descriptive vs. inferential statistics
- Quantitative vs. categorical data
- Measures of central tendency
- Measures of spread
- Quartiles / percentiles
Objectives
After viewing the presentation and completing the related activities, the learner will be able to:
- Explain the difference between descriptive and inferential statistics
- Explain the difference between quantitative and categorical data
- Define measures of central tendency and measures of spread
Module 3: Ratios, Rates, and Proportions (Part I)
Module 3 topics include:
- Ratios, rates, and proportions
- Incidence vs. prevalence
- Direct vs. indirect standardization
- SIR calculation and interpretation
o Including determination of statistical significance
Objectives
- Define and interpret ratios, rates, and proportions
- Differentiate between incidence and prevalence
- Interpret standardized infection ratios (SIR)
Module 2: Inferential Statistics
Module 2 topics include:
- Steps in statistical analysis (very brief)
- Null vs alternative hypotheses
- P-values, confidence intervals, level of significance, power, sample size
- Type I and Type II error
- Statistical significance vs. clinical relevance
Objectives
- Differentiate between null and alternative hypotheses
- Interpret p-values and confidence intervals
- Explain the difference between statistical significance and clinical relevance
Module 4: Ratios, Rates, and Proportions (Part II)
Module 4 topics include:
- Relative risk
- Odds ratios
- Sensitivity, specificity, positive predictive value, negative predictive value
Objectives
- Interpret relative risks and odds ratios
- Interpret sensitivity and specificity
- Interpret positive and negative predictive values
This program is mapped to the APIC’s IP Competency Model. This model describes the knowledge, skills, and behaviors considered key to advancement and guides IPs toward areas of professional development throughout all career stages. Click here to view the full model.
Paying by check? Please download the 2020 registration form and mail it to the noted address. Please ensure that the registration form and any corresponding documents are included as we cannot process registrations without payment.
Bulk sales are available. Email eLearning@apic.org for more information.
Accreditation
The Association for Professionals in Infection Control and Epidemiology, Inc. (APIC) is accredited with distinction as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation (ANCC).
Course evaluations will be available in your online training menu at the end of the course.
All course-related evaluations must be completed within 30 days of course completion. After satisfying all evaluation requirements, a certificate of completion will be available to print and/or download under My Transcripts for your records indicating CEUs.
Accredited status does not imply endorsement by APIC or the American Nurses Credentialing Center of any commercial products displayed or discussed in conjunction with an educational activity.
Technical Requirements
We recommend the below browsers and plug-ins for the best online learning experience
- Minimum Internet Bandwidth
Standard Definition (SD) videos: 5 Mbps - High Definition (HD) videos: 8 Mbps
Computer Operating System
- PC: Windows XP or newer
- Mac: OS X 10.5 (Leopard) or newer
Web Browsers
- Internet Explorer 8.0 or above
- Firefox support for most recent 2 public versions
- Safari support for most recent 2 public versions
- Google Chrome support for most recent 2 public versions
Browser Plug-ins
Flash Player version 10.2.159.1 or higher. Go to Adobe Flash Player to install the latest version.
Cancellation Policy
CANCELLATION/TRANSFER POLICY:
APIC must receive all cancellations in writing within 30 days of purchase if you have not yet started the course. If you have started the course, you must submit your cancellation within 7 days of the start day to be eligible for a refund.
Please submit cancellation requests to eLearning@apic.org or via fax to (202) 789-1899. Courses are non-transferrable and remain with the original registered individual regardless of position changes or employee departures.