Statistics For Health Professionals - A Practical Guide

What you'll learn
Fundamentals of Clinical Statistics
Hazard Ratio, Sensitivity, Specificity, Life Tables
Hypothesis Testing, Sampling, Population, Confidence interval
Central Limit Theorem, Probability, Distribution
ANOVA, Regression, Correlation, Hierarchical Regression
Distributions: Normal, Poission, Chi-square, t-distribution
Requirements
Understanding of Basic Mathematics
Basic of Statistics
Basic of Research Methods
Statistical Package for Social Sciences (SPSS)
Description
Looking for clarity in understanding statistical analysis in health studies? You've found the right place! Whether you're a healthcare professional keeping up with advancements in your field or a medical student uncertain about conducting research, this course is for you. Gain confidence in comprehending statistical results like "confidence interval" and "p-value" and enhance your research abilities.Statistics play a crucial role in designing, conducting, analyzing, and reporting clinical trials, minimizing bias and controlling confounding variables and measurement error. Understanding statistical techniques is vital in comprehending randomized trial procedures and outcomes. In this course, we cover important clinical statistical tests such as sensitivity, specificity, life tables, hypothesis, probability, hazard ratio, data types, distribution and its types, and more.In addition to the aforementioned topics, the course will also address practical applications of statistical analysis in real-life clinical scenarios. You will have the opportunity to work on case studies and hands-on exercises to apply the concepts learned. Dr. Muhammad will be available to provide individualized guidance and support to ensure your success in understanding and using statistical analysis in your work. Whether you are a healthcare professional, medical student, or researcher, this course will equip you with the skills and knowledge you need to confidently interpret and apply statistical analysis in your field.This course provides a straightforward introduction to interpreting common statistical concepts without diving into complicated calculations. It includes information on SPSS usage, result interpretation, and interpretation. Take the first step in understanding the healthcare literature by gaining a solid foundation in these statistical ideas. Join us now!
Overview
Section 1: Introduction to Statistics for Health Professionals
Lecture 1 Instructor Introduction
Lecture 2 Types of Studies in Medical Research
Lecture 3 Meta-Analysis and Systematic Literature Review
Section 2: Key Definitions of Statistical Teminologies
Lecture 4 Population, Sample, Inferential Statistics
Lecture 5 Data Types in Clinical Statistics
Lecture 6 Discrete and Continuous variable
Lecture 7 Measure of Central Tendency
Lecture 8 Mean, Mode and Median
Section 3: Probability Distribution, Central Limit Theorem
Lecture 9 What is 'P' value in Statistics
Lecture 10 Defining 'Probability'
Lecture 11 Types of Probability
Lecture 12 Probability Distribution
Lecture 13 Central Limit theorem
Lecture 14 Normal Distribution
Lecture 15 Poission Distribution
Lecture 16 Chi-square
Lecture 17 T-distribution
Section 4: Hypothesis Testing
Lecture 18 Introduction to Hypothesis Testing
Lecture 19 Null and Alternate Hypothesis
Lecture 20 Type-1, Type-2 Errors
Lecture 21 What is Confidence Interval
Section 5: Parametric and Non-parametric Tests
Lecture 22 Parametric and Non-parametric Tests
Lecture 23 Student's T- test
Lecture 24 Analysis of Variance - ANOVA
Lecture 25 Correlation Analysis
Lecture 26 Regression Analysis
Section 6: Important Statistical Tests
Lecture 27 Hazard Ratio
Lecture 28 Risk and Odd Ratio's
Lecture 29 Number needed to Treat and Harm
Lecture 30 Life Tables
Lecture 31 Sensitivity, Specificity, Predictive Values
Medical Students, Nurses, Research Scholars, Students, Policy Makers, Teaching faculty, Academicians,Early Career Researchers, Health Professional Research Groups,PhD scholars and Graduate Students,Health Professionals,Doctors, Pharmacy, Nurses and Medical Graduate


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