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for  ½Ò¸¹DB000001N (FALL 2008 & SPRING 2009)

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Teacher: Li, Yu-Fen (§õ­§ªâ)

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Office: Room 1508, ¥ß¤Ò±Ð¾Ç¤j¼Ó15F (¦a¹Ï)

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Tel: (04) 2205-3366 ext 6121

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Yu-Fen's Homepage

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Office hours: 1:30pm-4:30pm on Wednesdays  at office (MAP)(or by appointment)

 email me E-mail Yu-Fen

bulletTA: ªL«h¦¨(ÀôÂåºÓ¤@), E-mail , Tel: (04) 2205-3366 ext 6121
bulletOffice Hours: by appointment, Room 1508, ¥ß¤Ò±Ð¾Ç¤j¼Ó15F

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bulletª`·N·|¦Òªº®É¶¡¬O¦b10/31, 12/5, 1/12 ±ß¤W (½Ð¨Æ¥ý«O¯d®É¶¡¥H§K¿ù¹L¦Ò¸Õ)

bullet½Ð¯d·NOffice hours ªº®É¶¡ÅܰʤF

bulletú¥æ²ßÃD§@·~¤§¤º®e: ½Ð¨Ì¾Ú¦U¤½¥¬²ßÃD¤W«ü©wªºÃD¸¹(¨Ò¦p²ßÃD¤@¬°1-5ÃD)


     
     

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¤W¦¸­×§ï¦¹ºô¯¸ªº¤é´Á¡G 2008/11/13

Time and Location

Lecture: 10:10am-12:00pm on Mondays in Room 5B06, ¤¬§U¤j¼Ó
Lab: 10:10am-12:00pm
 on Fridays in the Computer Lab I,
¤¬§U¤j¼Ó7F

Outline

1. Everyone is expected to do as many exercises in the text as necessary to master the material.
2. Everyone is expected to attend the lectures.
3. Weekly homework/quiz will be assigned during lecture.
4. A good calculator is highly recommended.

Teaching Methods

English lecture handouts + Chinese supplement handouts
Lectures in Chinese

Textbook

Principles of Biostatistics, by M Pagano and K Gauvreau. (Duxbury, 2nd ED)

Grading

Lecture: Exams 80% (1st 25%, 2nd 25%, 3rd 30%),  Homework 15%, Attendance 5%
Lab: SAS test 50%, Project 50%

Lecture Syllabus (Download Lecture Notes. You need img-PDF01.gif (244 bytes)Acrobat Reader to open the file)

¤é´Á

¼Ð                  ÃD

Á¿¸q

¸É¥R±Ð§÷

ú§@·~

9/15

¥Íª«²Î­p¾Ç²¤¶

Ch 1-2

(³æ¤¸1)

 

9/22

´y­z©Ê«ü¼Ð¡X°Ñ¼Æ»P²Î­p­È & ¾÷²v

Ch 3-4

(³æ¤¸2;³æ¤¸3) ; BOX PLOT

 

9/29

OFF

--

--

³æ¤¸1-2

10/6

¾÷²v¤À¥¬(¢¹)& ¾÷²v¤À¥¬(¢º)

Ch5

(³æ¤¸4;³æ¤¸5)

 

10/13

OFF

--

--

³æ¤¸3-4

10/20

²Î­p­Èªº¾÷²v¤À¥¬

Ch6

(³æ¤¸6)

³æ¤¸5

10/27

½Æ²ß

Ch2-5

 

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10/31

¡»²Ä¤@¦¸¤j·|¦Ò ½d³ò¡G³æ¤¸1~³æ¤¸5

 

®É¶¡¡G 18:10-19:50
¦aÂI¡G¥t¦æ¤½§i

 ¦¨ÁZ

11/3

²Î­p±À½×·§½×(¢¹) ¡XÂI¦ô­p»P°Ï¶¡¦ô­p

Ch7

(³æ¤¸7)

³æ¤¸6

11/10

²Î­p±À½×·§½×(¢º) ¡X°²³]ÀË©w

Ch8

(³æ¤¸8)

 

11/17

²Î­p±À½×·§½×(¢») ¡X°²³]ÀË©w

Ch8

(³æ¤¸9)

³æ¤¸7-8

11/24

¥À¸sÅ饭§¡­Èªº°²³]ÀË©w¡X¦¨¹ï¡B¿W¥ß¼Ë¥»tÀË©w

Ch9

(³æ¤¸10)

 

12/1

¥À¸sÅ餤¦ì¼Æªº°²³]ÀË©w¡XµL¥À¼Æ¤èªk¤§ZÀË©w¤Î¥¿½T©ÊÀË©w

Ch10

(³æ¤¸11)

³æ¤¸ 9-10

12/5

¡»²Ä¤G¦¸¤j·|¦Ò ½d³ò¡G³æ¤¸6~³æ¤¸10

 

®É¶¡¡G 18:10-19:50
¦aÂI¡G¥t¦æ¤½§i

 

12/8

¥À¸sÅ饭§¡­Èªº°²³]ÀË©w¡XÅܲ§¼Æ¤ÀªR¤¤ªºFÀË©w¤Î¦h­«¤ñ¸û¤§tÀË©w

Ch11

(³æ¤¸12)

³æ¤¸11-12

12/15

¤G­ÓÃþ§OÅܼƤ§¬ÛÃöªº¦ô­p»PÀË©w¡X¦CÁpªí¤ÀªR

Ch12

(³æ¤¸13)

 

12/22

¨â­Ó³sÄòÅܼƤ§½u©ÊÃö«Yªº¦ô­p»PÀË©w

Ch13

(³æ¤¸14)

³æ¤¸13-14

12/29

½u©Ê¼Ò¦¡ªº¦ô­p»PÀË©w¡X²³æ½u©Ê°jÂk¼Ò¦¡

Ch14

(³æ¤¸15)

³æ¤¸15 

1/5

½Æ²ß

 

 

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1/12

¡»²Ä¤T¦¸¤j·|¦Ò ½d³ò¡G³æ¤¸11~³æ¤¸15

 

®É¶¡¡G 18:10-19:50
¦aÂI¡G¥t¦æ¤½§i

 

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Lab Syllabus

¤é´Á

¼ÐÃD

ÀÉ®×

9/19

Group Project Meeting: grouping and topic selection

 

9/26

Describing Data; working with data sets

 PPT; SAS; LST

10/3

External Files: reading and writing

 PPT; EXCEL

10/10

OFF

 

10/17

Group Project Meeting: data collection

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10/24

The SAS INPUT statement

PPT;

10/31

PROC MEANS

PPT;

11/7

PROC FREQ (I)

PPT;

11/14

PROC TTEST

PPT; EXCEL

11/21

OFF 

 

11/28

PROC NPAR1WAY (SHOW YOUR PROJECT DATA IN CLASS)

 

12/5

PROC ANOVA

 

12/12

PROC FREQ (II)

 

12/19

proc CORR/REG/GLM

 

12/26

Group Project Meeting: data analysis

 

1/2

Group Project Presentation

 

1/9

SAS test

 

1/16

OFF (´Á¥½¦Ò¶g)

 

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Group Project   

 (one  continuous Y + gender + one continuous X which you think it might be related to the selected Y )

Group

²Õ  ­û

Y

 Xs

1

 ®}¨ÎùÜ,  ³\´D´@,  ½²¨Î§g,  ±i®Ë«C,  ¤BÖö´@

¨B¥ï¤j¤p gender, ¥k¸}ªø

2

 ªL«ä¨°,  ½²ªÚ©y,  ³¢¨Kâý,  ±ä¶{²[,  Áé©§§¡

¸y³ò gender, Åé­«

3

 ¶À®Ê«Û,  ¸âªYµØ,  ªL«º¼z,  ½²Úz±l

¨­°ª gender, Âù¤â¥­Á|¥ª¥k¤â¤¤«üªº¼e«×

4

 §õ®Ä¤å,  ªL©úÅV,  ±i¡@µY,  ´¿ßN¶²

¸y³ò gender, ªo¬µª«­¹¥Î¶q/¶g

5

 ³¯«a¿²,  ¼B©óÃÀ,  ¶À´¼¬R,  §dñZ§g

¥k¤â¤â¨yªø gender, ¥ª¸}¤j¤p

6

 ¯Î¸ÖÞ³,  ¤ý§B®p,  ¶À¹t¯ø,  §õ¸t»ö

©Ôªø­µ gender, ¨­°ª

7

 Ä¬ªÚ§±,  ªL·Ô³Í,  ³¯¼z·ì,  §d¦èµØ ´å¨Î»ñ

¨â²´¥­§¡µø¤O gender, ¹q¸£/¹qµø¨Ï¥Î®É¼Æ

8

 ³¯¹Å§»,  ³\¦°¦ë,  ³¯·O½÷,  ¼B©öÀM ºD¥Î¤âªº¤j©æ«üªø gender, Àþ¶¡«ö¬íªíªº®É¶¡®t
9

 ³¯©Éʹ,  §õ¨Øªé

¥¼¤À²Õ¤§¦P¾Ç gender,

10

 ±iã¤Ã,  §d¹ÅÂ`,  §d¹Åµa, Á¬RµX

BMI gender, ºÎ¯v®É¶¡

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Useful Tools

How to pronounce Greek letters? Look at here.

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