Welcome to the world of NSG 817/NUDN8147 Applied Biostatistics, where numbers meet health and science in a powerful blend. This course is your gateway to understanding the statistical intricacies that shape research in the realm of nursing and healthcare.

In this journey, we will unravel the mysteries of biostatistics, providing you with essential tools to navigate and interpret data effectively. Whether you are a seasoned nursing professional or a budding researcher, this course aims to demystify statistical concepts and empower you to apply them in real-world scenarios.

From grasping the fundamentals of statistical reasoning to exploring advanced techniques, NSG 817/NUDN8147 is designed to foster your confidence in analyzing and interpreting data, making informed decisions, and contributing meaningfully to evidence-based practice.

NSG 817/NUDN8147 Applied Biostatistics

In NSG 817/NUDN8147: Applied Biostatistics, we’re diving into the world of numbers and data in healthcare. Imagine it as a toolkit for healthcare superheroes – that’s you! The first part is like the basics of the toolkit, helping you understand the fundamental ideas behind statistics and probabilities. Then, we move on to using these tools to describe data, making it easier for healthcare pros to understand and use.

As we go deeper, it’s like putting on a detective hat. We’ll be figuring out big questions from small parts of information. Ever wanted to predict the future, like a healthcare fortune teller? Well, that’s where regression analysis comes in, helping us see patterns and make smart predictions. Towards the end, we’ll apply all these cool tools to real healthcare research. Think of it as being the superhero who helps make decisions and plans based on facts and numbers. So, get ready to unlock the power of biostatistics for a healthier, smarter world!

NSG 817/NUDN8147 Applied Biostatistics Units

BIOS 704: Principles of Statistics in Public Health

An introductory course exploring the concepts of statistical reasoning and the role of statistical principles as the scientific foundation for public health research and practice. Prerequisite: Permission of instructor.

BIOS 714: Fundamentals of Biostatistics I

The first semester of a two-semester introductory statistics course providing an understanding of the proper application of statistical methods to scientific research. Emphasis is placed on applying statistical methodology to public health practice and research, focusing on basic principles of statistical inference for continuous and categorical data in one or two sample methods. Prerequisite: Calculus or Permission of Instructor.

BIOS 715: Introduction to Data Management using RedCap and SAS

Covering the utilization of Redcap and SAS for data management, this course includes data collection and management using Redcap. It also addresses data cleaning and preparation for analysis using SAS, along with basic descriptive analysis procedures. Prerequisite: Corequisite: BIOS 704 or BIOS 714 or equivalent with permission of instructor.

BIOS 717: Fundamentals of Biostatistics II

The second-level statistics course provides an understanding of more advanced statistical methods in scientific research. The emphasis is on applying statistical methodology to public health practice, public health research, and clinical research, with a special focus on regression methodology and computer applications. Prerequisite: BIOS 714 or equivalent with permission of instructor.

BIOS 720: Analysis of Variance

This course focuses on methods for designed experiments, including one-way analysis of variance (ANOVA), two-way ANOVA, repeated measures ANOVA, and analysis of covariance. Post-ANOVA tests, power, testing assumptions required in ANOVA, and outlier detection using robust estimators are discussed and applied. Prerequisite: PRE 710/711 or BIOS 714/717 or equivalent. Preferred: BIOS 715. Knowledge of statistical software, basic statistical plotting methods, p-values, two-sample t-test, and simple linear regression is assumed.

BIOS 725: Applied Nonparametric Statistics

This class dives into nonparametric methods, which are ways to analyze data when we don’t know much about the underlying population. We’ll learn how these methods give us exact values for tests, confidence intervals, and error rates. We’ll use tools like EXCEL and SAS to run various procedures. To join, you should have completed BIOS 714 or something similar with the instructor’s permission.

BIOS 730: Applied Linear Regression

In this course, we’ll explore different types of regression (a way to understand relationships in data) like simple, multiple, logistic, and nonlinear regression. We’ll also touch on things like neural networks and residual diagnostics. All these methods will be shown through examples related to health data. To join, you need to have done BIOS 714, and either BIOS 717 or BIOS 720, or something similar with the instructor’s permission.

BIOS 735: Categorical Data and Survival Analysis

This intermediate-level stats class takes us into advanced methods for research, focusing on using stats in clinical research, public health, and epidemiology. Before joining, you should have taken BIOS 714, BIOS 715, and BIOS 717, or have permission from the instructor.

BIOS 740: Applied Multivariate Methods

This advanced stats course is for those familiar with basic biostatistics and linear regression. We’ll cover topics like Hotelling’s T-squared test, MANOVA, principal components, factor analysis, discriminant analysis, and cluster analysis. Knowing some statistical software will be helpful, and SAS will be the main tool shown in the class. To join, you should be taking or have taken BIOS 730, or something similar, with the instructor’s permission.

BIOS 799: Introduction to Statistical Genomics

This survey course gives a high-level introduction to statistical and bioinformatics methods used in studying biological systems. We’ll look at analyzing DNA, RNA, and DNA methylation data from microarrays and next-gen sequencing. Before joining, you should be taking or have taken BIOS 714 and BIOS 717, or have permission from the instructor. It’s good to know a bit about programming too.

BIOS 805: Professionalism, Ethics and Leadership in the Statistical Sciences

This online class tackles professionalism, ethics, and leadership specifically for those becoming statisticians, biostatisticians, and data scientists. We’ll cover things like good statistical practices, communication, research ethics, and leadership qualities. To join, you need permission from the department.

BIOS 806: Special Topics in Biostatistics

This course is for exploring special topics not usually in the regular curriculum. If you’re interested, you need the instructor’s permission.

BIOS 810: Clinical Trials

Here, we’ll get into designing, implementing, analyzing, and assessing controlled clinical trials. We’ll focus on basic biostatistical concepts and models. You can join with the instructor’s permission.

BIOS 811: Scientific Rigor and Reproducibility

This course teaches the principles and practices needed for solid and reproducible research across different stages. We’ll cover study planning, data management, statistical techniques, and transparent reporting. To join, you need to have taken BIOS 714 or something similar, with the instructor’s permission.

BIOS 815: Introduction to Bioinformatics

Bioinformatics is like a detective work that combines biology, computer science, and statistics. In this course, we explore the basics of molecular biology, biological databases, and cool-sounding things like sequence alignment and BLAST. We’ll dive into genomics, transcriptomics, proteomics, and microbiomics, and learn about the tools used to analyze all this data. Don’t worry if you’re not a science expert – there are no strict requirements for this course. We’ll help you understand the essentials and get familiar with the tools used in bioinformatics.

BIOS 820: SAS Programming I

This course is like a guide for learning SAS programming – a handy tool for analyzing data. We’ll cover the basics needed to pass the SAS base programming certification exam. Expect to delve into things like creating reports, managing data, and working with variables. By the end, you’ll be creating SAS programs to analyze data and make reports. No need to stress about prerequisites; just get permission from the instructor to join.

BIOS 821: SAS Programming II

Building on SAS Programming I, this course takes you to the next level of SAS expertise. It’s like the advanced version, preparing you for the SAS advanced programming certification exam. We’ll explore advanced topics like array processing, using the data step, and diving into the macro language in SAS. If you’ve completed SAS Programming I or have equivalent experience, you’re good to go.

BIOS 823: Introduction to Programming and Applied Statistics in R

Ever heard of the R language? This course introduces you to the world of R and its applications in statistics. We’ll teach you how to use R for solving real-world statistical problems. You don’t need to be a coding genius – just some basic exposure to computer programming will do. If you know a bit about statistics too, that’s a bonus. Don’t forget to get the instructor’s permission before jumping in.

BIOS 825: Nonparametric Methods

This course is like a guide to statistical methods when our data doesn’t follow the usual rules. No need for fancy distributions here! We’ll cover nonparametric methods for different situations using real-world data and statistical software. Expect to explore topics like single sample tests, goodness-of-fit tests, and more. You just need the instructor’s permission to join this statistical adventure.

BIOS 830: Experimental Design

In BIOS 830, you’ll dive into the fundamentals of experimental design and learn how to interpret statistical analyses. This course is like the ABCs of experiments, guiding you through the basics and helping you understand the language of statistical analysis. Before joining, it’s good to have a chat with the instructor and, if you’ve taken BIOS 820 before, consider it your friendly prep course.

BIOS 833: Measurement for Statisticians

Ever wondered how we measure things in statistics? BIOS 833 is here to unravel the mysteries of measurement and psychometrics. It’s like opening a toolbox full of statistical rulers and gauges. Mastering concepts like test theory and factor analysis, you’ll find yourself equipped to measure and understand things in the statistical world. Join with the instructor’s permission or while you’re exploring BIOS 835.

BIOS 835: Categorical Data Analysis

Categories, categories everywhere! BIOS 835 is all about handling and analyzing data that falls into different categories. It’s like sorting your favorite candies into different jars. To join this categorical adventure, you’ll need the instructor’s permission, and it’s a good idea to have BIOS 820 and BIOS 840 as your companions.

BIOS 840: Linear Regression

Ever wanted to predict the future? BIOS 840 introduces you to linear regression, where you’ll build models to make predictions. It’s like learning the magic behind crystal balls but in a statistical way. Before joining this journey of predictions, get the green light from the instructor.

BIOS 845: Survival Analysis

In BIOS 845, you’re not predicting the end of the world; you’re analyzing time-to-event data. Think of it as understanding the lifespan of your favorite gadgets. To join this analytical adventure, you’ll need the instructor’s permission or be tackling BIOS 820, 835, 840, and 871 at the same time.

BIOS 850: Multivariate Statistics

Multivariate what? BIOS 850 introduces you to the world of applied multivariate analysis. It’s like learning to juggle different statistical concepts at once. Join this statistical circus while doing BIOS 820, 830, and 840.

BIOS 855: Statistical Methods in Genomics Research

Ever wondered how statistics helps unravel the mysteries of genes? BIOS 855 is your guide to statistical and bioinformatics methods in genomics research. It’s like decoding the language of DNA and RNA. To join this genomics adventure, you’ll need BIOS 820, programming experience, BIOS 840, or the instructor’s permission.

BIOS 860: Clinical Trial Design and Analysis

Join BIOS 860 for a comprehensive overview of designing and analyzing clinical trials. It’s like becoming a detective, exploring the ins and outs of clinical research. To embark on this clinical journey, get the instructor’s permission and be armed with BIOS 820, 830, and 840.

BIOS 871: Mathematical Statistics

Ever wanted to understand the magic behind probability and randomness? BIOS 871 introduces you to the fundamentals of probability theory and random variables. It’s like learning the rules of a fascinating game. Join with the instructor’s permission.

BIOS 872: Mathematical Statistics II

In BIOS 872, you’ll delve into the world of statistical estimation and hypothesis testing. Imagine it as learning the magic behind making educated guesses and testing ideas. Before joining, make sure you’ve had a chat with the instructor or, if you haven’t taken BIOS 871, get their permission.

BIOS 880: Data Mining and Analytics

BIOS 880 is your ticket to understanding data mining and analytics. It’s like exploring hidden patterns and predicting the future with data. Before jumping into this adventure, you’ll need BIOS 820, 830, 835, 840, and 871 or, if you have the instructor’s nod, you’re good to go.

BIOS 898: Collaborative Research Experience

Think of BIOS 898 as your chance to be a research detective. Work under the guidance of an experienced researcher, contributing your own piece to a research puzzle. To embark on this collaborative journey, get the green light from the instructor and have BIOS 820, 830, 835, 840, 871, and 872 ready.

BIOS 899: MSCR Thesis

BIOS 899 is where you prepare a thesis based on your research for the MS in Clinical Research. It’s like telling a story about your research adventures. To join, you’ll need approval from the Department of Biostatistics and, of course, BIOS 820.

BIOS 900: Linear Models

In BIOS 900, you’ll unravel the theory and methods of linear models. Picture it as understanding the superhero powers of regression models and experimental designs. To enter this world, have BIOS 871, 872, or the instructor’s permission, with BIOS 820 as a helpful companion.

BIOS 902: Bayesian Statistics

BIOS 902 introduces you to the Bayesian approach to data analysis. It’s like learning a different language of statistical inference. Before joining, get BIOS 871, 872, or the instructor’s nod, and having BIOS 820 in your toolkit is recommended.

BIOS 905: Theory of Statistical Inference

In BIOS 905, you’ll dive into advanced statistical inference. It’s like mastering the ninja moves of biostatistical ideas. To embark on this journey, have BIOS 871, 872, or their equivalents, and the instructor’s permission.

BIOS 906: Advanced Special Topics in Biostatistics

BIOS 906 is your gateway to exploring special topics in biostatistics. It’s like going on a biostatistical adventure beyond the routine. To join, make sure you’ve aced the PhD Qualifying exam and got the instructor’s approval.

BIOS 908: Advanced Clinical Trials

Imagine BIOS 908 as your guide to the advanced world of clinical trials. It’s like exploring new techniques for designing and analyzing these trials. You’ll dive into concepts like controls, blinding, and randomization, learning the ropes of trial designs through different phases. Topics include sample size calculations, interim analysis, and adaptive clinical trials. The course covers traditional approaches in the first half and emphasizes the Bayesian approach, including adaptive designs, in the second half. To join, you’ll need BIOS 860 and BIOS 902 or a nod from the instructor.

BIOS 910: Generalized Linear Models

BIOS 910 is your ticket to understanding Generalized Linear Models (GLM). Think of it as a crash course on the theory and applications of GLM. To embark on this journey, you’ll need BIOS 835, BIOS 840, and BIOS 900, or just ask the instructor for permission.

BIOS 911: Nonlinear Models

In BIOS 911, you’ll explore the world of nonlinear models, especially in biological, medical, and pharmaceutical research. Picture it as understanding the curves and complexities in data. You’ll dive into dose-response studies, bioassay studies, and clinical pharmacokinetics and pharmacodynamics studies. The course covers the theory at an intermediate level, and you’ll get hands-on with real-world data and statistical software. To join, you’ll need BIOS 900 or an equivalent and a thumbs-up from the instructor.

BIOS 915: Longitudinal Data Analysis

BIOS 915 is your guide to understanding longitudinal data analysis. It’s like studying data over time to see how things change. You’ll learn to design and analyze longitudinal studies, especially in medical settings. The course uses SAS as your tool for this statistical exploration. To embark on this journey, you’ll need BIOS 820, BIOS 830, BIOS 840, BIOS 871, BIOS 872, and BIOS 900, or just check with the instructor for permission.

BIOS 920: Latent Variable Analysis

In BIOS 920, you’ll uncover the secrets of latent variables. These are variables you can’t see directly but play a significant role in statistical models. Think of it as solving mysteries in biomedical and public health research. The course introduces statistical models and their applications, using packages like M-plus, R, and/or SAS. To join this detective work, you’ll need BIOS 835 and BIOS 900, or ask the instructor for permission. A little familiarity with vectors and matrices is a plus.

BIOS 999: Doctoral Dissertation

BIOS 999 is your final challenge – preparing your doctoral dissertation. It’s like showcasing your original research and earning your Ph.D. degree. The credits come your way once your dissertation gets the green light from your committee. To join this culmination of your Ph.D. journey, you’ll need to ace the Department of Biostatistics Ph.D. Comprehensive Exam and have your advisor’s consent.

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