Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization
Objective: To estimate the effectiveness of two-dose COVID-19 vaccination in reducing hospitalization, accounting for complex confounding factors in observational studies. Methods: Researchers applied propensity score methods to adjust for confounding variables, comparing their performance to tradi...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2024-12-01
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| Series: | Journal of Biostatistics and Epidemiology |
| Subjects: | |
| Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/1464 |
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| _version_ | 1841558602882482176 |
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| author | Mohammad Taghi Shakeri Mahboobeh Taherizadeh Saeed Akhlaghi Ehsan Mosa Farkhani |
| author_facet | Mohammad Taghi Shakeri Mahboobeh Taherizadeh Saeed Akhlaghi Ehsan Mosa Farkhani |
| author_sort | Mohammad Taghi Shakeri |
| collection | DOAJ |
| description |
Objective: To estimate the effectiveness of two-dose COVID-19 vaccination in reducing hospitalization, accounting for complex confounding factors in observational studies.
Methods: Researchers applied propensity score methods to adjust for confounding variables, comparing their performance to traditional covariate adjustment methods. Multiple Logistic Regression and Propensity Score Matching were employed to analyze the data, ensuring a balanced comparison between vaccinated and unvaccinated groups.
Results: Both analytical methods demonstrated a significant reduction in the likelihood of hospitalization among vaccinated individuals. The adjusted odds ratios (OR) were 0.29 (95% CI: 0.26, 0.31) via logistic regression and 0.32 (95% CI: 0.30, 0.34) using propensity score matching.
Conclusions: The study confirms the effectiveness of two-dose COVID-19 vaccination in decreasing hospitalization. It highlights the importance of using meticulous approaches like propensity score methods to assess real-world impacts in complex observational data settings.
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| format | Article |
| id | doaj-art-c254c17f525145b9acd4bbb80f5f0a2f |
| institution | Kabale University |
| issn | 2383-4196 2383-420X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Journal of Biostatistics and Epidemiology |
| spelling | doaj-art-c254c17f525145b9acd4bbb80f5f0a2f2025-01-06T08:40:26ZengTehran University of Medical SciencesJournal of Biostatistics and Epidemiology2383-41962383-420X2024-12-0110110.18502/jbe.v10i1.17158Estimating Causal Effect of Two-Dose COVID-19 Vaccination on HospitalizationMohammad Taghi Shakeri0Mahboobeh Taherizadeh1Saeed Akhlaghi2Ehsan Mosa Farkhani3mashhad university of medical science, biostatistic departmentMashhad University of Medical SciencesMashhad University of Medical SciencesMashhad University of Medical Sciences Objective: To estimate the effectiveness of two-dose COVID-19 vaccination in reducing hospitalization, accounting for complex confounding factors in observational studies. Methods: Researchers applied propensity score methods to adjust for confounding variables, comparing their performance to traditional covariate adjustment methods. Multiple Logistic Regression and Propensity Score Matching were employed to analyze the data, ensuring a balanced comparison between vaccinated and unvaccinated groups. Results: Both analytical methods demonstrated a significant reduction in the likelihood of hospitalization among vaccinated individuals. The adjusted odds ratios (OR) were 0.29 (95% CI: 0.26, 0.31) via logistic regression and 0.32 (95% CI: 0.30, 0.34) using propensity score matching. Conclusions: The study confirms the effectiveness of two-dose COVID-19 vaccination in decreasing hospitalization. It highlights the importance of using meticulous approaches like propensity score methods to assess real-world impacts in complex observational data settings. https://jbe.tums.ac.ir/index.php/jbe/article/view/1464propensity score matchingcausal effectobservational studylogistic regression |
| spellingShingle | Mohammad Taghi Shakeri Mahboobeh Taherizadeh Saeed Akhlaghi Ehsan Mosa Farkhani Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization Journal of Biostatistics and Epidemiology propensity score matching causal effect observational study logistic regression |
| title | Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization |
| title_full | Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization |
| title_fullStr | Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization |
| title_full_unstemmed | Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization |
| title_short | Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization |
| title_sort | estimating causal effect of two dose covid 19 vaccination on hospitalization |
| topic | propensity score matching causal effect observational study logistic regression |
| url | https://jbe.tums.ac.ir/index.php/jbe/article/view/1464 |
| work_keys_str_mv | AT mohammadtaghishakeri estimatingcausaleffectoftwodosecovid19vaccinationonhospitalization AT mahboobehtaherizadeh estimatingcausaleffectoftwodosecovid19vaccinationonhospitalization AT saeedakhlaghi estimatingcausaleffectoftwodosecovid19vaccinationonhospitalization AT ehsanmosafarkhani estimatingcausaleffectoftwodosecovid19vaccinationonhospitalization |