《生物统计学》课程PPT教学课件（Biostatistics）Chapter 1 Introduction to biostatistics

Biostatistics A foundation for analysis in the health science Yongli YANG Ph.D, Associate Professor Department of Biostatistics & Epidemiology, college of public health TEL: 67781249 E-mail: ylyang377@126.com

A foundation for analysis in the health science Yongli YANG Ph.D, Associate Professor Department of Biostatistics & Epidemiology, college of public health TEL: 67781249 E-mail: ylyang377@126.com

STATISTICS IN LIFE GDP in China increased 7. 7% in 2013 from the report of state Statistical bureau Life expectancy is 74.83 year in 6th population census Weather forecast in Zhengzhou 郑州去气预报一固天气查询中国天气网 日,10月19日,农历九月口六(实时出度:1B℃ 效开启 16~20 pM2.5:170中度 点此收听“由天电台”> 青 晴请青 切换城市-南口郑州口郑州□「里搞 分摩到:圆回□

STATISTICS IN LIFE ✓ GDP in China increased 7.7% in 2013 from the report of State Statistical Bureau. ✓ Life expectancy is 74.83 year in 6th population census ✓ Weather forecast in Zhengzhou

week Theory course content introduction Description of quantitative variable Description of qualitative variable. Statistical table and 10 graph 10 Exercise: statistical description 11 Normal distribution 11 Sampling error and sampling distribution 12 The principle of hypothesis test 12 t test 13 One-way analysis of variance 13 Nonparametric test 14 Exercise t test and anova 14 Chi-square test

week Theory course content 8 introduction 9 Description of quantitative variable 10 Description of qualitative variable . Statistical table and graph 10 Exercise: statistical description 11 Normal distribution 11 Sampling error and sampling distribution 12 The principle of hypothesis test 12 t test 13 One-way analysis of variance 13 Nonparametric test 14 Exercise: t test and ANOVA 14 Chi-square test 15 Simple linear correlation analysis

Chapter I introduction to biostatistics s Introduction s Some basic concepts a Basic step of statistical work a Review questions and exercises

Chapter I introduction to biostatistics Introduction Some basic concepts Basic step of statistical work Review questions and exercises

Be familiar with Basic step of statistical work Understand The definition: statistics and biostatistics Master The definition population, sample, probability, quantitative variable, qualitative variable

• Basic step of statistical work Be familiar with • The definition: statistics and biostatistics Understand • The definition: population, sample, probability, quantitative variable, qualitative variable Master

INTRODUCTION o We are frequently reminded of the fact that we are living in the information age. Appropriately, then this subject is about information -how it is obtained, how it is analyzed, and how it is interpreted. The information about which we are concerned are called data and the data are available to us in the form of numbers

I. INTRODUCTION  We are frequently reminded of the fact that we are living in the information age. Appropriately, then, this subject is about information—how it is obtained, how it is analyzed, and how it is interpreted. The information about which we are concerned are called data, and the data are available to us in the form of numbers

Question 1 v We aim to explore whether smoking is harmful to your health v How to explore? Lung cancer, Heart disease, other diseases?

Question 1 ✓ We aim to explore whether smoking is harmful to your health. ✓ How to explore? Lung cancer, Heart disease, Other diseases?

Lung cancer smoking a/(a+b) no lung cancer b compare→ conclusion Lung cancer non- smoKIng (c+d) no lung cancer

a smoking non - smoking Lung cancer b cd a/(a+b) c/(c+d) compare conclusion Lung cancer no lung cancer no lung cancer

Smoking group Non-smoking group ong can you Ive? stop. you Burn your life flower

Non -smoking group Smoking group

Question 2 It is obvious that generally men are taller than women. while some other women are taller than men Therefore, if you wanted to 'prove that men were taller, you should measure many people of each sex How many people should you measure?

Question 2 It is obvious that generally men are taller than women, while some other women are taller than men. •Therefore, if you wanted to ‘prove’ that men were taller, you should measure many people of each sex. • How many people should you measure?