WetBench Home

Biostatistics

Biostatistics

An introduction to reading and explaining laboratory measurements with statistics.

01

๋‘๋ ค์›€๋ณด๋‹ค ํ˜ธ๊ธฐ์‹ฌ์œผ๋กœ: ๋ฐ”์ด์˜ค๋ฅผ ์œ„ํ•œ ํ†ต๊ณ„ ๊ฐ•์˜๋ฅผ ์‹œ์ž‘ํ•˜๋ฉฐ

์ƒ๋ฌผํ†ต๊ณ„ํ•™ ยท JMP ยท Minitab ยท In-Silico Lab ยท ์‹คํ—˜ ๋ฐ์ดํ„ฐ ยท ํ†ต๊ณ„์  ์‚ฌ๊ณ 

Beginner10min
02

๊ฐ™์€ ํ‰๊ท , ๋‹ค๋ฅธ ์‹คํ—˜: ํ‰๊ท ๋งŒ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ํŒ๋‹จํ•˜๋ฉด ์•ˆ ๋˜๋Š” ์ด์œ 

์ƒ๋ฌผํ•™์  ๋ฐ˜๋ณต ยท ๊ธฐ์ˆ ๋ฐ˜๋ณต ยท ํ‰๊ท  ยท ํ‘œ์ค€ํŽธ์ฐจ ยท ๋ถ„ํฌ ยท ํžˆ์Šคํ† ๊ทธ๋žจ ยท ์ƒ์ž๊ทธ๋ฆผ ยท JMP

Beginner38min
03

ํ‘œ๋ณธ์€ ์™œ ๋งค๋ฒˆ ๋‹ฌ๋ผ์ง€๋Š”๊ฐ€: ํ•œ ๋ฒˆ์˜ ํ‰๊ท ์—์„œ ๋ฐ˜๋ณตํ‘œ์ง‘์œผ๋กœ

๋ชจ์ง‘๋‹จ ยท ํ‘œ๋ณธ ยท ์ƒ๋ฌผํ•™์  ๋ฐ˜๋ณต ยท ๊ธฐ์ˆ ๋ฐ˜๋ณต ยท ํ‘œ์ง‘๋ณ€๋™ ยท ํ‘œ์ง‘๋ถ„ํฌ ยท JMP

Beginner42min
04

ํ•˜๋‚˜์˜ ์ˆซ์ž์—์„œ ๋ถˆํ™•์‹ค์„ฑ์˜ ๋ฒ”์œ„๋กœ: ์‹ ๋ขฐ๊ตฌ๊ฐ„์„ ์ œ๋Œ€๋กœ ์ฝ๋Š” ๋ฒ•

์ ์ถ”์ • ยท ํ‘œ์ค€์˜ค์ฐจ ยท ์‹ ๋ขฐ๊ตฌ๊ฐ„ ยท ์‹ ๋ขฐ์ˆ˜์ค€ ยท ํฌํ•จ๋ฅ  ยท ๋ฐ˜๋ณตํ‘œ์ง‘ ยท JMP

Beginner46min
05

ํ‰๊ท , ๋‹ค์Œ ๊ด€์ธก, ๋ชจ์ง‘๋‹จ์˜ ๋ฒ”์œ„: ์„œ๋กœ ๋‹ค๋ฅธ ์„ธ ๊ตฌ๊ฐ„๊ณผ ๊ธฐ์ค€์„ 

์‹ ๋ขฐ๊ตฌ๊ฐ„ ยท ์˜ˆ์ธก๊ตฌ๊ฐ„ ยท ํ—ˆ์šฉ๊ตฌ๊ฐ„ ยท coverage ยท confidence ยท ๊ทœ๊ฒฉ ยท ํ—ˆ์šฉ๊ธฐ์ค€ ยท JMP

Intermediate45min
06

๊ฐ€์„ค๊ฒ€์ •์ด ์‹ค์ œ๋กœ ๋ฌป๋Š” ๊ฒƒ: ์ฐจ์ด๋Š” ์šฐ์—ฐ๋งŒ์œผ๋กœ๋„ ์ƒ๊ธธ ์ˆ˜ ์žˆ๋Š”๊ฐ€

๊ท€๋ฌด๊ฐ€์„ค ยท ๋Œ€๋ฆฝ๊ฐ€์„ค ยท p-value ยท ์œ ์˜์ˆ˜์ค€ ยท ์ œ1์ข…์˜ค๋ฅ˜ ยท ์ œ2์ข…์˜ค๋ฅ˜ ยท ๊ฒ€์ •๋ ฅ ยท JMP

Beginner48min
07

ํ‰๊ท ๋ณด๋‹ค ๋จผ์ € ์‚ฐํฌ๋ฅผ ๋ณธ๋‹ค: ๋‘ ์ง‘๋‹จ์˜ ํผ์ง์ด ๋‹ค๋ฅผ ๋•Œ

๋“ฑ๋ถ„์‚ฐ ยท ์ด๋ถ„์‚ฐ ยท Levene ยท Brown-Forsythe ยท Bartlett ยท F test ยท JMP

Intermediate28min
08

ํ•œ ์ง‘๋‹จ์„ ๊ธฐ์ค€๊ฐ’๊ณผ ๋น„๊ตํ•œ๋‹ค: ํšจ๊ณผยทCIยทp-value๋ฅผ ํ•จ๊ป˜ ์ฝ๊ธฐ

one-sample t-test ยท ๊ธฐ์ค€๊ฐ’ ยท ํ‘œ์ค€์˜ค์ฐจ ยท ์ž์œ ๋„ ยท ํšจ๊ณผํฌ๊ธฐ ยท JMP

Intermediate27min
09

๋‘ ์ง‘๋‹จ์„ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ๋น„๊ตํ•œ๋‹ค: ๋…๋ฆฝยท๋Œ€์‘ยทWelch์˜ ์„ ํƒ

๋…๋ฆฝํ‘œ๋ณธ ยท ๋Œ€์‘ํ‘œ๋ณธ ยท Welch t-test ยท pooled t-test ยท rank test ยท pseudoreplication ยท JMP

Intermediate30min
10

์—ฌ๋Ÿฌ ์ง‘๋‹จ๊ณผ ANOVA: ๋ณ€๋™์„ ๋‚˜๋ˆ„์–ด ํ‰๊ท  ์ฐจ์ด๋ฅผ ๋ฌป๋Š”๋‹ค

ANOVA ยท omnibus ยท ์ œ๊ณฑํ•ฉ ยท ์ž์œ ๋„ ยท ํ‰๊ท ์ œ๊ณฑ ยท F ratio ยท Tukey ยท JMP

Intermediate30min
11

์ฐจ์ด๊ฐ€ ์—†๋‹ค๋Š” ๊ฒƒ๊ณผ ๋™๋“ฑํ•˜๋‹ค๋Š” ๊ฒƒ: TOST์™€ ๋™๋“ฑ์„ฑ ํ•œ๊ณ„

๋™๋“ฑ์„ฑ ยท TOST ยท ๋™๋“ฑ์„ฑ ํ•œ๊ณ„ ยท 90% ์‹ ๋ขฐ๊ตฌ๊ฐ„ ยท ๋น„์—ด๋“ฑ์„ฑ ยท JMP

Intermediate28min
12

ํ‘œ๋ณธํฌ๊ธฐ์™€ ๊ฒ€์ •๋ ฅ: ๋ฐ์ดํ„ฐ๋Š” ๋ช‡ ๊ฐœ๋ฉด ์ถฉ๋ถ„ํ•œ๊ฐ€

ํ‘œ๋ณธํฌ๊ธฐ ยท ๊ฒ€์ •๋ ฅ ยท ํšจ๊ณผํฌ๊ธฐ ยท ์ตœ์†Œ๊ฒ€์ถœ์ฐจ์ด ยท ์œ ์˜์ˆ˜์ค€ ยท JMP

Intermediate28min
13

ํ•จ๊ป˜ ์›€์ง์ด๋Š” ๋‘ ๋ณ€์ˆ˜: ์ƒ๊ด€๊ณ„์ˆ˜๋ณด๋‹ค ์‚ฐ์ ๋„๋ฅผ ๋จผ์ € ๋ณธ๋‹ค

์ƒ๊ด€ ยท ์ƒ๊ด€๊ณ„์ˆ˜ ยท ์‚ฐ์ ๋„ ยท ์„ ํ˜•์„ฑ ยท ๊ต๋ž€ ยท ๋ฒ”์œ„์ œํ•œ ยท JMP

Intermediate27min
14

๊ด€๊ณ„๋ฅผ ์‹์œผ๋กœ ํ‘œํ˜„ํ•˜๊ณ  ์ง„๋‹จํ•œ๋‹ค: ํšŒ๊ท€์™€ ์ž”์ฐจ

ํšŒ๊ท€ ยท ๊ธฐ์šธ๊ธฐ ยท ์ ˆํŽธ ยท ์ตœ์†Œ์ œ๊ณฑ ยท ์ž”์ฐจ ยท R-squared ยท lack of fit ยท JMP

Intermediate30min
15

OFAT์—์„œ DOE๋กœ: ํ•œ ๋ฒˆ์— ํ•˜๋‚˜์”ฉ ๋ฐ”๊พธ๋ฉด ๋†“์น˜๋Š” ๊ฒƒ

DOE ยท OFAT ยท ์š”์ธ ยท ์ˆ˜์ค€ ยท ๋ฐ˜์‘ ยท ๊ตํ˜ธ์ž‘์šฉ ยท ์„ค๊ณ„๊ณต๊ฐ„ ยท JMP

Intermediate30min
16

์™„์ „์š”์ธ์„ค๊ณ„์˜ ๊ธฐํ•˜์™€ ํšจ๊ณผ: ๋ชจ๋“  ์กฐํ•ฉ์—์„œ ๋ฌด์—‡์„ ๋ถ„๋ฆฌํ•˜๋Š”๊ฐ€

์™„์ „์š”์ธ์„ค๊ณ„ ยท ๊ท ํ˜• ยท ์ง๊ต์„ฑ ยท ์ฃผํšจ๊ณผ ยท ๊ตํ˜ธ์ž‘์šฉ ยท coded level ยท JMP

Intermediate30min
17

์‹คํ—˜ ์ˆœ์„œยท๋ฐ˜๋ณตยท๋ธ”๋ก: ๊ฐ™์€ ์กฐํ•ฉํ‘œ๋ฅผ ์ข‹์€ ์‹คํ—˜์œผ๋กœ ๋งŒ๋“œ๋Š” ๋ฒ•

๋ฌด์ž‘์œ„ํ™” ยท ๋ณต์ œ ยท ๋ธ”๋ก ยท run order ยท ์‹คํ—˜๋‹จ์œ„ ยท ๊ธฐ์ˆ ๋ฐ˜๋ณต ยท JMP

Intermediate29min
18

์š”์ธํšจ๊ณผ์—์„œ ์˜ˆ์ธก๊ณผ ํƒ์ƒ‰์œผ๋กœ: DOE ๋ชจํ˜•์„ ์ง„๋‹จํ•˜๋Š” ์ˆœ์„œ

๋ชจํ˜•๊ณ„์ธต ยท pooling ยท coded unit ยท natural unit ยท Prediction Profiler ยท desirability ยท ์ž”์ฐจ ยท JMP

Advanced32min
19

๋ถ€๋ถ„์š”์ธ์„ค๊ณ„์™€ alias: ์‹คํ–‰ ์ˆ˜๋ฅผ ์ค„์ผ ๋•Œ ์žƒ๋Š” ์ •๋ณด

๋ถ€๋ถ„์š”์ธ์„ค๊ณ„ ยท fraction ยท generator ยท defining relation ยท alias ยท confounding ยท resolution ยท JMP

Advanced34min
20

Screening ๊ฒฐ๊ณผ๋ฅผ ํ›„์†์‹คํ—˜์œผ๋กœ ์ด์–ด๊ฐ€๊ธฐ

screening ยท Pareto ยท half-normal ยท effect hierarchy ยท pooling ยท foldover ยท confirmation ยท JMP

Advanced38min