Statistics For Health Professionals - A Practical Guide

Sensitivity, Specificity, Hazard Ratio, Life Tables, Clinical Statistic, SPSS, SPSS Result Interpretation & Reporting

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