Applications of Biostatistics in Research
( 25 Modules )

Module #1
Introduction to Biostatistics
Overview of biostatistics, importance in research, and brief history

Module #2
Types of Biostatistical Studies
Observational studies, experimental studies, and quasi-experimental studies

Module #3
Research Questions and Hypotheses
Formulating research questions, hypotheses, and objectives

Module #4
Data Collection and Study Designs
Types of data, data collection methods, and study designs

Module #5
Descriptive Statistics
Summarizing and describing data using measures of central tendency and variability

Module #6
Inferential Statistics
Introduction to inferential statistics, sampling distributions, and confidence intervals

Module #7
Hypothesis Testing
One-sample, two-sample, and paired t-tests, ANOVA, and non-parametric tests

Module #8
Regression Analysis
Simple and multiple linear regression, regression coefficient interpretation, and assumptions

Module #9
Confounding and Interaction
Identifying and adjusting for confounding variables, interactions, and effect modification

Module #10
Survival Analysis
Introduction to survival analysis, Kaplan-Meier curves, and Cox proportional hazards model

Module #11
Non-Parametric Statistics
Wilcoxon rank-sum test, Kruskal-Wallis test, and other non-parametric tests

Module #12
Correlation and Causality
Measuring correlation, interpreting correlation coefficients, and causal inference

Module #13
Survey Research and Sampling
Types of survey research, sampling methods, and survey design

Module #14
Missing Data and Imputation
Types of missing data, mechanisms, and imputation methods

Module #15
Longitudinal and Panel Data Analysis
Introduction to longitudinal and panel data, repeated measures ANOVA, and generalized linear mixed models

Module #16
Machine Learning and Prediction
Introduction to machine learning, supervised and unsupervised learning, and prediction models

Module #17
High-Dimensional Data Analysis
Introduction to high-dimensional data, dimension reduction, and feature selection

Module #18
Genomics and Proteomics Data Analysis
Introduction to genomics and proteomics data, microarray analysis, and next-generation sequencing

Module #19
Clinical Trials and Research Ethics
Introduction to clinical trials, research ethics, and informed consent

Module #20
Epidemiological Study Designs
Case-control, cohort, and cross-sectional study designs, and their applications

Module #21
Biostatistical Software and Tools
Introduction to popular biostatistical software and tools, such as R, Python, and SAS

Module #22
Data Visualization
Introduction to data visualization, visualization tools, and best practices

Module #23
Communicating Biostatistical Results
Presenting biostatistical results, interpretation, and reporting

Module #24
Case Studies in Biostatistics
Real-world applications of biostatistics in various fields, such as medicine, public health, and agriculture

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Applications of Biostatistics in Research career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Applications of Biostatistics in Research ( 25 Modules )

Applications of Biostatistics in Research
( 25 Modules )