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Free Download Udemy - Biostatistics Made Easy Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 20m | Size: 478 MB A Practical Guide Using Jamovi Software What you'll learn Master the basics of biostatistics, including descriptive and inferential statistics, through hands-on exercises using Jamovi software. Conduct data analysis with Jamovi, from importing datasets to creating visualizations and interpreting statistical outputs. Apply statistical techniques like t-tests, ANOVA, and regression analysis in Jamovi to analyze real-world biological and health-related data. Design and execute biostatistical research projects, including hypothesis testing, survival analysis, and non-parametric tests using Jamovi software. Requirements No experience is required Description Unlock the power of biostatistics with ease in this comprehensive, hands-on course designed for beginners and professionals alike. *"Biostatistics Made Easy: A Practical Guide Using Jamovi Software"* will guide you through essential statistical concepts, probability theory, hypothesis testing, and advanced techniques-all while using the intuitive Jamovi software. Whether you're involved in research, public health, or just want to enhance your data analysis skills, this course will make complex statistical methods approachable and practical.You'll learn to install and navigate Jamovi, explore descriptive and inferential statistics, master hypothesis testing, and conduct advanced analyses like regression and survival analysis-all with clear, real-life examples. By the end of the course, you will have the confidence to perform biostatistical analyses, interpret data, and present your findings effectively.**What You'll Learn:**- Master fundamental biostatistical concepts like data types, measures of central tendency, and probability distributions.- Perform hypothesis testing, ANOVA, chi-square tests, and more using Jamovi.- Build and interpret linear and logistic regression models.- Conduct advanced analyses such as survival analysis and repeated measures ANOVA.- Visualize and report data effectively with customizable graphs and tables.- Apply statistical methods to real-world datasets in a final capstone project.**Who This Course is For:**- Students, researchers, and professionals in public health, medicine, or life sciences.- Anyone interested in learning biostatistics with practical, user-friendly tools.- Individuals who want to apply biostatistical methods in their research or workplace using Jamovi.With practical exercises and a final project to solidify your skills, this course is your pathway to confidently using biostatistics in your academic or professional journey. Who this course is for This course is ideal for students, researchers, and professionals in biology, public health, medicine, and related fields who want to simplify biostatistics using Jamovi software. It's designed for beginners with little to no background in statistics, as well as those looking to enhance their data analysis skills for research projects, academic studies, or clinical applications. If you're eager to learn practical biostatistical methods without getting lost in complex mathematical details, this course is for you! Homepage https://www.udemy.com/course/biostatistics-made-easy-q/ Rapidgator https://rg.to/file/039b9c4655d498eca57a780d9e864be4/wxero.Biostatistics.Made.Easy.rar.html Fikper Free Download https://fikper.com/Z8znZg6A2S/wxero.Biostatistics.Made.Easy.rar.html No Password - Links are Interchangeable

Free Download Introduction to Biostatistics (2024) Published 10/2024 Created by Gabriel cardenas MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 92 Lectures ( 6h 30m ) | Size: 5.45 GB Introduction to basic Statistics with Probability and T-test and Basic Categorical Analysis with Chi-Squared What you'll learn Descriptive Statistics Hypothesis Testing Basic continuous dependent variable statistical tests Categroical dependent variable statistical tests Analyzing data with proportion and odds ratios Using the Chi-Squared analysis and the Cochran Mantel Haenszel test Showing and explaining the different sample size formulas Requirements Basic level of mathematics training. A basic introduction to statistics course. Basic level understanding of some statistical software. No programming experience. Description Hello, thank you for considering this course Introduction to Biostatistics. I have made this course out of the years of college courses, webinars, and certificates that I have done over the last 22 years. I made the course at a level that a person who has had an Introduction to Statistics course should be able to start at the beginning and finish with a good education on Introductory Biostatistics. Some people say "Why teach the old stuff?" My reply is "You teach the old stuff because people might be looking for enough knowledge to do their analysis at hand and nothing more." I also think that, most of the new methods are built on the old method, and learning the old methods will help you gain a greater understanding of Biostatistical analysis.I begin the course at an introductory level : introductory probability, into intermediate probability with Bayes Formula and test validation study analysis and introduce Sensitivity and Specificity to parameters of validation studies. I cover the uses of probability in methods such as the Kaplan Meier Survival Analysis. I also make sure to cover the sample size calculation for each statistical method in the course because that will be a large part of your professional work. I briefly cover distributional probability and touch on the Empirical Rule and the T-distribution and including calculating Confidence Intervals.Next, I go into introductory research study methods, discussing rates and incidence and prevalence. I beginning to review hypothesis testing using the two-sample t-test; and then i move to the paired t-test which I discuss is a very useful method in health and clinical research. I also have two main tests, a mid-term and a final; to get you familiar with how the course quizzes in college will look. For all tests I also have a statistical software lesson showing how to do the analyses in SPSS and in R. This should make the time you actually work more productive because you won't be struggling through books or notes.From there I move to the categorical methods: Chi Squared and the Cochran Mantel Haenszel test. The Chi-Squared analysis is the workhorse of categorical Biostatistics. I explain it and do several sections on the Risk Ratio and the Odds ratio in order that you will become familiar with these estimators. The Cochran Mantel Haenszel test is the stratified analysis of more than 1 cross-sectional categorical table. It is also a very powerful method. It involves 3 variable, and I discuss the process models that have three variables and the differences and test that may indicate their presence in the data. My hope is that I will become a we, and we will learn as much as is possible about Biostatistics and improve and advance the field. I will be happy to support you after you have taken the course with whatever Biostatistical help you may need. I have continued to learn new methods well after college and I hope you will also. Thank you and good luck with your careers. Who this course is for College Level students looking to get degrees and create careers in Public Health or Biostatistics College Pharmacy students, Medical School students. 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