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IT3030 - Biostatistics

Lecture 1 (2/23 & 2/24/2015)

Textbook & Grading

• Principles of Biostatistics by Pagano and Gauvreau. (2nd edition, Duxbury, Thomson Learning)

• Quizzes (15%)

• Midterm exams (25%x2)

• Final written exam (25%), 

• Final MATLAB exam (10%)

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PPT slides go by week #week #

• For example, week #1 slides can be retrieved at the URL

http://163.25.101.149/IT3030/Lecture1.pptx

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Wk 上課日期 / 時數 教學進度1 2015/2/23 2 Holiday observed. Class suspended.

2015/2/24 1 Ch 1 - Introduction

2 2015/3/2 2Ch 2 - Data Representation Ch 3 - Numerical Summary Measures - part 1

2015/3/3 1 Ch 3 - Numerical Summary Measures - part 2

3 2015/3/9 2 Ch 4 - Rates and Standardization - part 1

2015/3/10 1 Ch 4 - Rates and Standardization - part 2

4 2015/3/16 2 Ch 6 - Probability and Diagnostic Tests - part 1

2015/3/17 1 MATLAB - statistics toolbox

5 2015/3/23 2 Ch 6 - Probability and Diagnostic Tests - part 2

2015/3/24 1 Review before midterm exam

66 2015/3/302015/3/30 22 Mid-term exam #1 (Chapters 1 to 6)Mid-term exam #1 (Chapters 1 to 6)

2015/3/31 1 Midterm exam discussion

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項次 上課日期 / 時數 教學進度7 2015/4/6 2 Holiday. Class suspended.

2015/4/7 1 Ch 7 - Theorectical Probability Distributions - part 1

8 2015/4/13 2 Ch 7 - Theorectical Probability Distributions - part 2

2015/4/14 1 Ch 7 - Theorectical Probability Distributions - part 3

9 2015/4/20 2 Ch 8 - Sampling Distribution of the Mean

2015/4/21 1 Ch 9 - Confidence Interval - part 1

10 2015/4/27 2 Ch 9 - Confidence Interval - part 2

2015/4/28 1 Ch 9 - Confidence Interval - part 3

11 2015/5/4 2 Ch 10 - Hypothesis Testing - part 1

2015/5/5 1 Ch 10 - Hypothesis Testing - part 2

12 2015/5/11 2 Ch 11 - Comparison of Two Means - part 1

2015/5/12 1 Ch 11 - Comparison of Two Means - part 2

1313 2015/5/182015/5/18 22 Mid-term #2 (Chapters 7 to 11)Mid-term #2 (Chapters 7 to 11)

2015/5/19 1 Midterm exam discussion

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項次 上課日期 / 時數 教學進度

14 2015/5/25 2 Ch 12 - Analysis of Variance - part 1

2015/5/26 1 Ch 12 - Analysis of Variance - part 2

15 2015/6/1 2 Ch 17 - Correlation - part 1

2015/6/2 1 Ch 17 - Correlation - part 2

16 2015/6/8 2 Ch 18 - Simple Linear Regression - part 1

2015/6/9 1 Ch 18 - Simple Linear Regression - part 2

17 2015/6/15 2 Ch 19 - Multiple Regression - part 1

2015/6/16 1 Ch 19 - Multiple Regression - part 2

1818 2015/6/222015/6/22 22 Final Exam - Written Test (Chapters 12 and beyond)Final Exam - Written Test (Chapters 12 and beyond)

2015/6/232015/6/23 11 Final Exam - MATLAB TestFinal Exam - MATLAB Test

課堂重要規定

• 準時到課並親自親自簽到• 未到課者一律登錄於校務資訊系統• 畢業班同學須完成全部 18 週的課程• No food & drinks (except bottle

water inside classroom)

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Chapter 1 - Introduction

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1.1 What is Biostatistics?

• Biostatistics (a hybrid word made from biologybiology and statisticsstatistics; sometimes referred to as biometrybiometry or biometricsbiometrics)

• The application of statisticsstatistics to a wide range of topics in biologybiology. (Wikipedia)

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Cont’d

• The science of biostatistics : – (1) the design of biological the design of biological

experimentsexperiments, especially in medicine and agriculture;

– (2) the collectioncollection, summarizationsummarization, and

analysis of dataanalysis of data from those experiments;

– (3) the interpretationinterpretation of, and

inferenceinference (( 推論推論 )) from, the results.

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1.2 Educational programs

• Almost all educational programs in biostatistics are at postgraduatepostgraduate (學士後 ) level. [For example, many schools of law or medicine in US.]

• They are most often found in schools of public healthpublic health (公共衛生 ), affiliated with schools of medicine, agriculture or as a focus of application in departments of statistics.

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Cont’d

• In the United States, while several universities have dedicated biostatistics departments, many other top-tier universities integrate biostatistics faculty into mathematicsmathematics, statisticsstatistics or other departments, such as epidemiologyepidemiology (流行病學 ).

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Cont’d

• Relatively new biostatistics departments have been founded with a focus on bioinformatics (bioinformatics ( 生物資訊生物資訊 )) and computational biology (computational biology ( 計算生物計算生物學學 ))

• Older departments, typically affiliated with schools of public health, will have more traditional lines of research involving epidemiological studiesepidemiological studies and clinical trials (clinical trials ( 臨床試驗臨床試驗 )).

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設立目的

• 提高學術研究，發展統計科學應用於臨床醫學研究中所產生之資訊研究範疇，如：臨床試驗、臨床流行病學、藥物經濟學及遺傳流行病學。

• 解決因更多更大量的資料產生所帶來之科學研究課題，應用生物統計之研究服務更應有電腦化、直接化及大量化之處理並以符合國際標準為原則。

研究教學

• 建立「臨床試驗研究學程」制度• 發展應用生物統計之理論依據及大型大型資料庫之處理資料庫之處理

• 結合生物統計及資訊演譯法發展生物生物資訊資料處理資訊資料處理

• 提昇校內生醫統計與資料分析專業教育

• 舉辦統計諮詢課程訓練16

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List of statistical packages (wiki)• public domain / open source / freeware

• retail (commercial)– SAS (originally Statistical Analysis

System)– Stata (hybrid of Statistics & Data)– SPSS (originally Statistical Package for

the Social Sciences, later modified to read Statistical Product and Service Solutions)

– MATLABMATLAB 18

Take home problems

• Briefly describe and explain the followings:– Bioinformatics– Computational biology– Epidemiology– Clinical trial– Pharmacoeconomics

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