পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| একটি রেট্রোস্পেক্টিভ কোহর্ট স্টাডি (Retrospective Cohort Study)× | প্রস্থচ্ছেদীয় মহামারীবিদ্যা বিষয়ক গবেষণা× | |
|---|---|---|
| ক্ষেত্র | মহামারীবিদ্যা | মহামারীবিদ্যা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | Mid-20th century (widely formalized 1950s–1970s) | 1960s (formal codification); widely practiced since mid-20th century |
| প্রবর্তক≠ | Systematic use attributed to early 20th-century occupational epidemiology; formalized in modern epidemiological theory by Brian MacMahon and others | Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s) |
| ধরন≠ | Observational analytic study | Observational, descriptive/analytic epidemiological design |
| মৌলিক উৎস≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407 |
| অপর নাম | historical cohort study, non-concurrent cohort study, retrospective follow-up study, historical prospective study | prevalence study, cross-sectional survey, transversal study, cross-sectional design |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | A retrospective cohort study assembles a group of individuals who share a common starting point and reconstructs their exposure history and subsequent outcomes entirely from pre-existing records. Because the data have already been collected before the study begins, the design is far faster and cheaper than a prospective cohort; however, the researcher must work with whatever information was recorded at the time rather than collecting purpose-built measurements. | A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes. |
| ScholarGateডেটাসেট ↗ |
|
|