The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 1
Exploratory data analysis
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
3rd September 2016
Practical 1
First practical
6 timeslots between 10th and 16
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
this month
Error bars
Sample means with 95% CI
npg
2013 Nature America, Inc. All rights reserved.
The meaning of error bars is often misinterpreted,
as is the statistical significance of their overlap.
Last month in Points of Significance, we showed how
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
this month
Expression
Comparing samples
part I
npg
2014 Nature America, Inc. All rights reserved.
Robustly comparing pairs of independent or related
samples requires different approaches to the ttest.
Among the most common types of experiments are compa
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
TwoFactor ANOVA
Often we manipulate more than one thing at a
time
p Multiple categorical explanatory variables
p
Twoway designs
In a twoway design, 2 factors are studied in conjunction with the
response variable. There is thus two ways of organizing th
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
24. Oneway ANOVA:
Comparing several means
The Practice of Statistics in the Life Sciences
Second Edition
Handling multiple comparisons statistically
pThe
first step in examining multiple populations statistically is to test
for an overall statistical sig
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Review Session
Things to Review
Concepts
Basic formulae
Statistical tests
Populations
Samples
Random sample
Parameters
Estimates
Mean
Median
Mode
Variance
Standard deviation
Categorical
Nominal, ordinal
Numerical
Discrete, continuous
Null hypothesis
Al
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Contingency analysis
p
Estimates and tests for an association between
two or more categorical variables
Twoway tables
An experiment has a twoway, or block, design if two
categorical factors are studied with several levels of each
factor.
Twoway tables
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
14. Introduction to inference
The Practice of Statistics in the Life Sciences
Second Edition
Objectives (PSLS Chapter 14)
Introduction to inference
p
Uncertainty and confidence
p
Confidence intervals
p
Confidence interval for a Normal population mean ( kn
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
21. The chisquare test for
goodness of fit
The Practice of Statistics in the Life Sciences
Second Edition
Objectives (PSLS Chapter 21)
The chisquare test for goodness of fit
p
Idea of the chisquare test
p
The chisquare distributions
p
Goodness of fit
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
14 out of 18
Test statistic is a quantity calculated from the data that is used to evaluate how
compatible the data are with the result expected under the null hypothesis
The null distribution is the sampling distribution of outcomes for a test statistic
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
20. Comparing two proportions
The Practice of Statistics in the Life Sciences
Second Edition
2012 W.H. Freeman and Company
Objectives (PSLS Chapter 20)
Comparing two proportions
p
Comparing 2 independent samples
p
Confidence interval for 2 proportion
p
L
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
18. Twosample problems for
population means (
unknown)
The Practice of Statistics in the Life Sciences
Second Edition
2012 W.H. Freeman and Company
Comparing means
p
Tests with one categorical and one numerical
variable
p
Goal: to compare the mean of a
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
7. Samples and
observational studies
The Practice of Statistics in the Life Sciences
Second Edition
2012 W.H. Freeman and Company
Objectives (PSLS Chapter 7)
So far, we have learned some basic tools of exploratory data analysis that can
help us to examin
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Discrete probability
distributions
The Practice of Statistics in the Life Sciences
Second Edition
Example
If you have five children, three boys and two
girls, how many possible birth orders are there?
p Example: BGBGB
p
Checking.
BBBGG BBGBG BBGGB BGBBG B
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
THIS MONTH
POINTS OF SIGNIFICANCE
Importance of being
uncertain
Statistics does not tell us whether we are right. It tells
us the chances of being wrong.
To discuss sampling, we need to introduce the concept of a population, which is the set of entities a
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Homework, due at 6pm May 8th, 2015.
Please write up the procedures.
Email me with the subject: LIFS3150 Homework, your ID
Or drop it at the general office, a box labeled with LIFS3150
18.39, 20.39, 22.30, 22.37, 23.28, 23.38, 24.31, 24.36,
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 7
Designing studies
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
29th October 2016
1
Assignment and practical
Assignment 4
Starts today, due next Saturd
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 4
Statistical inference
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
24th September 2016
1
Practical and Assignments
Practical 2
Starting today (24th Se
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 9
Analysis of survival data
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
12th November 2016
1
Amendments to Session 8 handout
Slide 44: Homoscedasticity
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 5
Hypothesis tests
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
8th October 2016
1
Assignment and tutorial
Assignments 3
Starts today, due next Saturday
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 3
Probability
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
17th September 2016
1
Practicals & Assignments
Practical 1
3 extra timeslots, 2 on 19th Sept
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 8
Applied regression
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Dr Eric Lau
School of Public Health
University of Hong Kong
5th November 2016
1
Outline
Multiple linear regression
Logistic regression
Discussion
2
Objectives
Aft
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Session 2
Regression and correlation
Introduction to Biostatistics
CMED6100 / MMPH6002 / CMED7100
Lee Chun Fan ([email protected])
School of Public Health
University of Hong Kong
10th September 2016
Assignment 1
Assignment 1 available in the afternoon, due b
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
CMED6100 Introduction to biostatistics
Course Syllabus and outline
CMED6100 Introduction to biostatistics
CMED6100 Introduction to biostatistics
COURSE OUTLINE
Course Title
Introduction to biostatistics
Course Code
CMED6100
No. of Credits
3
Department
Sch
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Mathematical
Biostatistics
Boot Camp:
Lecture 2,
Probability
Brian Caffo
Probability
Mathematical Biostatistics Boot Camp: Lecture 2, Probability
Random
variables
PMFs and
PDFs
CDFs, survival
functions and
quantiles
Summary
Brian Caffo
Department of Biost
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Mathematical
Biostatistics
Boot Camp:
Lecture 4,
Random
Vectors
Brian Caffo
Table of
contents
Mathematical Biostatistics Boot Camp: Lecture 4, Random
Vectors
Random
vectors
Independence
Independent
events
Independent
random variables
IID random
variables
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Mathematical
Biostatistics
Boot Camp:
Lecture 5,
Conditional
Probability
Brian Caffo
Mathematical Biostatistics Boot Camp:
Lecture 5, Conditional Probability
Brian Caffo
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
Johns Hop
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
Mathematical
Biostatistics
Boot Camp:
Lecture 1,
Introduction
Brian Caffo
Biostatistics
Experiments
Mathematical Biostatistics Boot Camp: Lecture 1,
Introduction
Set notation
Probability
Brian Caffo
Department of Biostatistics
Johns Hopkins Bloomberg Scho
The Hong Kong University of Science and Technology
Biostat
LIFS 3150

Spring 2015
4. Relationships: Regression
The Practice of Statistics in the Life Sciences
Second Edition
2012 W.H. Freeman and Company
Objectives (PSLS Chapter 4)
Regression
p
The leastsquares regression line
p
Finding the leastsquares regression line
p
The coeffic