Methods and implications of addressing missing data in health-care research
Missing data can introduce biases and affect the generalizability of research findings, undermining the scientific rigor of studies and impeding the development of evidence-based practices. To overcome these challenges, health-care providers and researchers must adopt robust strategies to identify,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-01-01
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| Series: | Current Medical Issues |
| Subjects: | |
| Online Access: | http://www.cmijournal.org/article.asp?issn=0973-4651;year=2024;volume=22;issue=1;spage=60;epage=62;aulast=Agiwal |
| _version_ | 1797300117042102272 |
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| author | Varun Agiwal Sirshendu Chaudhuri |
| author_facet | Varun Agiwal Sirshendu Chaudhuri |
| author_sort | Varun Agiwal |
| collection | DOAJ |
| description | Missing data can introduce biases and affect the generalizability of research findings, undermining the scientific rigor of studies and impeding the development of evidence-based practices. To overcome these challenges, health-care providers and researchers must adopt robust strategies to identify, prevent, and handle missing data effectively. This includes implementing standardized data collection procedures, utilizing advanced statistical techniques to account for missingness, and embracing emerging technologies that facilitate comprehensive and timely data capture. By prioritizing the management of missing data, health-care professionals and researchers can enhance patient care, improve research quality, and ultimately contribute to better health outcomes for individuals and populations. |
| first_indexed | 2024-03-07T23:01:36Z |
| format | Article |
| id | doaj.art-e0d12d69b1e74a458f6ee94a106a1ea2 |
| institution | Directory Open Access Journal |
| issn | 0973-4651 2666-4054 |
| language | English |
| last_indexed | 2024-03-07T23:01:36Z |
| publishDate | 2024-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Current Medical Issues |
| spelling | doaj.art-e0d12d69b1e74a458f6ee94a106a1ea22024-02-22T14:43:22ZengWolters Kluwer Medknow PublicationsCurrent Medical Issues0973-46512666-40542024-01-01221606210.4103/cmi.cmi_121_23Methods and implications of addressing missing data in health-care researchVarun AgiwalSirshendu ChaudhuriMissing data can introduce biases and affect the generalizability of research findings, undermining the scientific rigor of studies and impeding the development of evidence-based practices. To overcome these challenges, health-care providers and researchers must adopt robust strategies to identify, prevent, and handle missing data effectively. This includes implementing standardized data collection procedures, utilizing advanced statistical techniques to account for missingness, and embracing emerging technologies that facilitate comprehensive and timely data capture. By prioritizing the management of missing data, health-care professionals and researchers can enhance patient care, improve research quality, and ultimately contribute to better health outcomes for individuals and populations.http://www.cmijournal.org/article.asp?issn=0973-4651;year=2024;volume=22;issue=1;spage=60;epage=62;aulast=Agiwalbiasesimputation methodmissing data |
| spellingShingle | Varun Agiwal Sirshendu Chaudhuri Methods and implications of addressing missing data in health-care research Current Medical Issues biases imputation method missing data |
| title | Methods and implications of addressing missing data in health-care research |
| title_full | Methods and implications of addressing missing data in health-care research |
| title_fullStr | Methods and implications of addressing missing data in health-care research |
| title_full_unstemmed | Methods and implications of addressing missing data in health-care research |
| title_short | Methods and implications of addressing missing data in health-care research |
| title_sort | methods and implications of addressing missing data in health care research |
| topic | biases imputation method missing data |
| url | http://www.cmijournal.org/article.asp?issn=0973-4651;year=2024;volume=22;issue=1;spage=60;epage=62;aulast=Agiwal |
| work_keys_str_mv | AT varunagiwal methodsandimplicationsofaddressingmissingdatainhealthcareresearch AT sirshenduchaudhuri methodsandimplicationsofaddressingmissingdatainhealthcareresearch |