Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis
Abstract A common problem in meta-analyses is the unavailability of mean and standard deviation (SD). Unfortunately, only having values of the median, interquartile range (IQR), or range cannot be directly utilized for meta-analysis. Although some estimation and conversion methods have been proposed...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-04-01
|
| Series: | Systematic Reviews |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13643-023-02217-1 |
| _version_ | 1797854007009476608 |
|---|---|
| author | Kuan-Yu Chi Man-Yun Li Chiehfeng Chen Enoch Kang Cochrane Taiwan |
| author_facet | Kuan-Yu Chi Man-Yun Li Chiehfeng Chen Enoch Kang Cochrane Taiwan |
| author_sort | Kuan-Yu Chi |
| collection | DOAJ |
| description | Abstract A common problem in meta-analyses is the unavailability of mean and standard deviation (SD). Unfortunately, only having values of the median, interquartile range (IQR), or range cannot be directly utilized for meta-analysis. Although some estimation and conversion methods have been proposed in the past two decades, there were no published and user-friendly tools developed based on multiple scenarios of missing SD. Therefore, this study aimed to provide a collection of possible circumstances of missing sample means or SD with solutions for teaching and research. A total of 10 common circumstances of missing SD or mean could have available statistics of p value, t value, z score, confidence interval, standard error, median, IQR, and range. Teachers and investigators can use relevant formulas for finding the sample mean and SD according to the available circumstance. Due to the complicated computations, our team provides a free available spreadsheet. With ever-evolving statistical methods, some formulas may be further improved in the future; therefore, it is recommended to involve statisticians in evidence-based practice or systematic reviews. |
| first_indexed | 2024-04-09T19:59:58Z |
| format | Article |
| id | doaj.art-afa4d3d823a646e5b207bf40d3b583b4 |
| institution | Directory Open Access Journal |
| issn | 2046-4053 |
| language | English |
| last_indexed | 2024-04-09T19:59:58Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | Systematic Reviews |
| spelling | doaj.art-afa4d3d823a646e5b207bf40d3b583b42023-04-03T05:18:15ZengBMCSystematic Reviews2046-40532023-04-011211510.1186/s13643-023-02217-1Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysisKuan-Yu Chi0Man-Yun Li1Chiehfeng Chen2Enoch Kang3Cochrane TaiwanSchool of Medicine, College of Medicine, Taipei Medical UniversitySchool of Medicine, College of Medicine, Taipei Medical UniversityDepartment of Public Health, School of Medicine, College of Medicine, Taipei Medical UniversityCochrane Taiwan, Taipei Medical UniversityAbstract A common problem in meta-analyses is the unavailability of mean and standard deviation (SD). Unfortunately, only having values of the median, interquartile range (IQR), or range cannot be directly utilized for meta-analysis. Although some estimation and conversion methods have been proposed in the past two decades, there were no published and user-friendly tools developed based on multiple scenarios of missing SD. Therefore, this study aimed to provide a collection of possible circumstances of missing sample means or SD with solutions for teaching and research. A total of 10 common circumstances of missing SD or mean could have available statistics of p value, t value, z score, confidence interval, standard error, median, IQR, and range. Teachers and investigators can use relevant formulas for finding the sample mean and SD according to the available circumstance. Due to the complicated computations, our team provides a free available spreadsheet. With ever-evolving statistical methods, some formulas may be further improved in the future; therefore, it is recommended to involve statisticians in evidence-based practice or systematic reviews.https://doi.org/10.1186/s13643-023-02217-1Data conversionData estimationp valuet valuez scoreInterquartile |
| spellingShingle | Kuan-Yu Chi Man-Yun Li Chiehfeng Chen Enoch Kang Cochrane Taiwan Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis Systematic Reviews Data conversion Data estimation p value t value z score Interquartile |
| title | Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis |
| title_full | Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis |
| title_fullStr | Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis |
| title_full_unstemmed | Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis |
| title_short | Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis |
| title_sort | ten circumstances and solutions for finding the sample mean and standard deviation for meta analysis |
| topic | Data conversion Data estimation p value t value z score Interquartile |
| url | https://doi.org/10.1186/s13643-023-02217-1 |
| work_keys_str_mv | AT kuanyuchi tencircumstancesandsolutionsforfindingthesamplemeanandstandarddeviationformetaanalysis AT manyunli tencircumstancesandsolutionsforfindingthesamplemeanandstandarddeviationformetaanalysis AT chiehfengchen tencircumstancesandsolutionsforfindingthesamplemeanandstandarddeviationformetaanalysis AT enochkang tencircumstancesandsolutionsforfindingthesamplemeanandstandarddeviationformetaanalysis AT cochranetaiwan tencircumstancesandsolutionsforfindingthesamplemeanandstandarddeviationformetaanalysis |