পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মিলিত অনুদৈর্ঘ্য মহামারীবিদ্যা সমীক্ষা× | মিলিত কোহর্ট অধ্যয়ন× | |
|---|---|---|
| ক্ষেত্র | মহামারীবিদ্যা | মহামারীবিদ্যা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | Mid-to-late 20th century (formalized ~1970s–1990s) | Mid-20th century; propensity-score variant 1983 |
| প্রবর্তক≠ | Developed within the tradition of observational epidemiology; matching principles codified by Greenland, Rothman, and Kelsey in modern epidemiology texts | Established practice; propensity-score matching formalized by Rosenbaum & Rubin (1983) |
| ধরন≠ | Observational epidemiological study design | Observational analytic study design |
| মৌলিক উৎস | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| অপর নাম | matched cross-sectional survey, matched prevalence study, matched cross-sectional design, frequency-matched cross-sectional study | matched follow-up study, paired cohort study, propensity-matched cohort, matched prospective study |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | A matched cross-sectional epidemiological study is an observational design that measures exposure and outcome simultaneously in a population sample while applying matching to control for one or more confounding variables. By pairing or grouping participants on key characteristics such as age, sex, or socioeconomic status before or during analysis, the design reduces confounding bias without requiring longitudinal follow-up, making it efficient for estimating prevalence and cross-sectional associations. | A matched cohort study is an observational design in which each exposed participant is paired with one or more unexposed counterparts who share key characteristics — such as age, sex, or comorbidity status — before both groups are followed forward in time to compare incident outcomes. Matching controls for measured confounders at the design stage, reducing bias that would otherwise require statistical adjustment alone. |
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