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BIO733 : Applied Biostatistics

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Course Info

Course Category

Zoology

Course Level

Graduate

Credit Hours

3

Pre-requisites

N/A

Instructor

Saima Mustafa
M.phil
Bahauddin Zakariya University, Multan, Pakistan

Course Contents

Introduction to Biostatistics

Basic Terminology - I

Basic Terminology - II

Data

Variables

Measurement Scales - I

Measurement Scales - II

Types of Statistics

Sampling and Statistical Inference

Basic Terminology for sampling

Types of Sampling Methods

Simple Random Sampling

Stratified Random Sampling

Cluster Sampling

Systematic Sampling

Non-Probability Sampling Methods

Convenience Sampling

Describing Data with Tables - I

Describing Data with Tables - II

Describing Data with Tables - III

Contingency Tables

Describing Data with Charts - I

Describing Data with Charts - II

Describing Data with Charts - III

Box and Whisker Plot

Microsoft Excel Demo

Describing Data: From its Shapes

Describing Data: From its peak

Describing Shape: From Box and Whisker Plot

Descriptive Statistics: Measures of Central Tendency

Arithmetic Mean

Median

Mode

Appropriate Use of Measures of Location

Quantiles (Cut Points)

Examples of Quantiles

Measures of Dispersion

Absolute Measures of Dispersion

Examples for Absolute Measures of Dispersion

Relative Measures of Dispersion

Examples of Measures of Dispersion

Appropriate usage of the Measures of Dispersion

Calculating Skewness and making decision using Numerical measures

Calculating Kurtosis and making decision using Numerical measures

Counting Rules

Permutations

Combinations

Probability: Introduction

Probability: Basic Terminology - I

Probability: Basic Terminology - II

Probability: Axioms of Probability

Probability: Additive rule

Probability: Multiplicative Rule for Independent Events

Conditional Probability

Bayes Theorem

Diagnostic Tests - I

Diagnostic Tests - II

ROC Curves

Prevalence and Incidence

Probability Distributions

Discrete Probability Distributions

Bernoulli Trials and Bernoulli Distribution

Binomial Distribution

MS Excel Demo to Binomial Distribution

Poisson Distribution

Poisson Approximation to the Binomial Distribution

Continuous Probability Distributions

The Normal Distribution

Standard Normal Distribution

Conversion from Normal to Standard Normal Distribution

Properties of the Normal Distribution

Applications of The Normal Distribution

Normal Approximation to the Binomial Distribution

Normal Approximation to the Poisson Distribution

Sampling Distributions

Expected value and Variance of a sampling distribution

Standard Error

Sampling Distribution of the sample mean

Expectated value and variance of the sampling distribution of the sample mean

Sampling Distribution of the differnece between two means

Expected value and variance of the sampling distribution of the difference between two sample means

Sampling Distribution of a sample Proportion

Expected value and variance of the sampling distribution of a sample proportion

Sampling distribution of the difference of the two sample proportion

Estimation

Point Estimation

Interval Estimation

Using Tables and MS Excel to obtain probability

Confidence Interval for Single Mean

Confidence Interval for the difference between Two population Means

Confidence Interval for the Single Proportion

Confidence Interval for the Difference of two proportions

A Tutorial to SPSS - I

A Tutorial to SPSS - II

A Tutorial to SPSS - III

A Tutorial to SPSS - IV

A Tutorial to SPSS - V

A Tutorial to SPSS - VI

A Tutorial to SPSS - VII

A Tutorial to SPSS - VIII

A Tutorial to SPSS - IX

A Tutorial to SPSS - X

A Tutorial to SPSS - XI

A Tutorial to SPSS - XII

A Tutorial to SPSS - XIII

Using SPSS to report Descriptive Statistics

Basic Concepts of Hypothesis Testing

Test Statistics

Types of Errors

Significance Level

Decision Rule

Conclusion

Assumptions for Testing of Hypothesis

Flow Chart for Hypothesis Testing

Flow Chart of Hypothesis Testing

Flow Chart of Hypothesis Testing

Testing Normality Assumption

Testing Normality Assumption

Testing Hypothesis for Single Mean - I

Testing Hypothesis for Single Mean - II

Testing Hypothesis for Single Mean - III

Testing Hypothesis for Single Mean - IV

Testing Hypothesis for Single Mean

Testing Difference of Means in two independent samples

Testing Difference of Means in two independent samples (Equal Variances Assuming)

Testing Difference of Means in two independent samples (UnEqual Variances Assuming)

Testing Difference of Means in two independent samples

Testing Difference of Means in two independent samples(non-Parametric)-I

Testing Difference of Means in two independent samples (non-Parametric) - II

Testing Difference of Means in Two dependent samples - I

Testing Difference of Means in Two dependent samples - II

Testing Difference of Means in two dependent samples - III

Testing Difference of Means in two dependent samples - IV

Analysis of Variance

Data coding for ANOVA

Testing Assumptions of ANOVA

Performing ANOVA

Multiple Comparison Tests

Types of Multiple Comparison Test

Performing and Interpreting Multiple Comparison Tests

Bonferroni Correction

Kruskal Wallis Test - I

Kruskal Wallis Test - II

Two-Way ANOVA

Discussion of dataset for Two-way ANOVA

Performing and Interpreting Two-Way ANOVA

Multiple Comparison Tests in Two-Way ANOVA

Performing and Interpreting Multiple Comparison tests for Two-Way ANOVA

Testing Hypothesis for Single Proportion

Testing Hypothesis for Single Proportion

Testing Hypothesis for Two Proportions

Testing Hypothesis for Two Proportions

Testing Hypothesis for More than Two Proportions

Testing Hypothesis for More than Two Proportions

Contingency table analysis

Contingency table analysis

Fisher''''''''''''''''''''''''''''''''s Exact Test - I

Fisher''''''''''''''''''''''''''''''''s Exact Test - II

Using P-Values

Tests for Goodness of fit - I

Tests for Goodness of fit - II

Tests for Independence

Measuring Relative Risk

Measuring Odds Ratio

Comparing Odds Ratio and Relative Risk

Measuring Morbidity

Measuring Mortality

Correlation

Assumptions used for Correlation

Types of correlation and their usage

Partial Correlation

Multiple Correlation

Calculating and interpeting Correlation

Testing Hypothesis about Correlation coefficient

Regression

Assumptions for Regression Model

Steps in Regression Analysis

Understanding Dependence relationship using Scatter Plots

Principle of Leasst Squares

Least Squares line

Obtaining a regression Line using SPSS

ANOVA in Regression

Decision making Using ANOVA in regression

Calculating and Interpreting results for ANOVA in regression usign SPSS

Evaluating a regression Equation

Confidence intervals for individual parameters

Coefficient of Determination

Making Prediction using regression Model

Testing the regression Assumptions

Multiple Linear Regression Model

Obtaining and Interpreting a multiple linear regression equation

Detecting Outliers, Influential and leverage values

SPSS tutorial to Multiple regression

Regression with Qualitative Independent variable

Performing and Interpreting Regression with Qualitative Independent Variable

Variable Selection procedures

Forward Selection

Backward Elimination

Stepwise Regression

An SPSS Tutorial to Variable selection procedures

Introduction to Survival Analysis

Survival Analysis: Basic Terminology

Censoring

Types of Censoring

Right Censoring

Left Censoring

Interval Censoring

Example Dataset

Survival Function

Distribution Function

Hazard Function

Relationship between Different Survivorship Functions

Estimating Survival Function

Kaplan Meier (KM) Method

Standard Error of the Kaplan Meier Estimate

Nelson Allen Method

Standard Error of Nelson Allen Estimate

Calculating Kaplan Meier Estimate

Interpreting KM Estimate

Comparing Kaplan Meier Estimates for two groups using KM Curve

Comparing Kaplan Meier estimates for more than two groups using KM Curve

Log Rank Test for the comparison of Two groups

Comparison of more than two groups

SPSS Tutorial for the estimation and comparison of Survival Functions

Mantel-Haenszel Test

Performing and Interpreting Mantel Haenszel Test on SPSS

Cox Proportional Hazard Model

Assumptions of the Cox Proportional Hazard Model

Fitting Cox Proportional Hazard model

SPSS Tutorial to perform Cox PH regression model

Transforming PH regression coefficients

Testing the significance of the Individual coefficients

Interpreting Cox Proportional Hazard Model

SPSS tutorial to model building

Testing Proportinal Hazard Assumption

SPSS Tutorial to Assumption testing

Variable Selection in Cox PH regression Model

SPSS Tutorial to variable Selection