Statistical methods for repeated measurement data in scientific research
Repeated measurement data is a common type of data in medicine, whichcan not be simply compared at each time point, and a professional statistical analysis method should be used to analysis this kind of data. Three common statistical methods were introduced for repeated measurement data, including repeated measurement analysis of variance, generalized estimation equations and multilevel models.The implementation of specific software and related results for the three methods based on some cases were also explainedin the article. Additionally, we compared the actual application of the three methods, in order to help clinical researchers to analyze repeated measurement data correctly and to improve their efficiency of data analysis.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:54 |
|---|---|
| Enthalten in: |
Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine - 54(2020), 7 vom: 06. Juli, Seite 804-812 |
| Sprache: |
Chinesisch |
|---|
| Beteiligte Personen: |
Feng, G S [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Data interpretation |
|---|
| Anmerkungen: |
Date Completed 24.09.2020 Date Revised 24.09.2020 published: Print Citation Status MEDLINE |
|---|
| doi: |
10.3760/cma.j.cn112150-20200514-00728 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM314156682 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM314156682 | ||
| 003 | DE-627 | ||
| 005 | 20231225152129.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2020 xx |||||o 00| ||chi c | ||
| 024 | 7 | |a 10.3760/cma.j.cn112150-20200514-00728 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1047.xml |
| 035 | |a (DE-627)NLM314156682 | ||
| 035 | |a (NLM)32842307 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a chi | ||
| 100 | 1 | |a Feng, G S |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Statistical methods for repeated measurement data in scientific research |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 24.09.2020 | ||
| 500 | |a Date Revised 24.09.2020 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Repeated measurement data is a common type of data in medicine, whichcan not be simply compared at each time point, and a professional statistical analysis method should be used to analysis this kind of data. Three common statistical methods were introduced for repeated measurement data, including repeated measurement analysis of variance, generalized estimation equations and multilevel models.The implementation of specific software and related results for the three methods based on some cases were also explainedin the article. Additionally, we compared the actual application of the three methods, in order to help clinical researchers to analyze repeated measurement data correctly and to improve their efficiency of data analysis | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Data interpretation | |
| 650 | 4 | |a Models, statistical | |
| 650 | 4 | |a Statisticalrepeated measures | |
| 773 | 0 | 8 | |i Enthalten in |t Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine |d 1981 |g 54(2020), 7 vom: 06. Juli, Seite 804-812 |w (DE-627)NLM000467448 |x 0253-9624 |7 nnns |
| 773 | 1 | 8 | |g volume:54 |g year:2020 |g number:7 |g day:06 |g month:07 |g pages:804-812 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3760/cma.j.cn112150-20200514-00728 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 54 |j 2020 |e 7 |b 06 |c 07 |h 804-812 | ||