পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| কোহর্ট স্টাডি× | পুনরাবৃত্ত-ব্যবস্থা ANOVA× | |
|---|---|---|
| ক্ষেত্র≠ | মহামারীবিদ্যা | পরিসংখ্যান |
| পরিবার≠ | Process / pipeline | Hypothesis test |
| উদ্ভবের বছর≠ | Mid-20th century (formal epidemiological design codified ~1950s) | 1992 |
| প্রবর্তক≠ | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) | Girden (textbook treatment); Field (2013) |
| ধরন≠ | Observational longitudinal study design | Parametric within-subjects mean comparison |
| মৌলিক উৎস≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| অপর নাম | longitudinal study, follow-up study, panel study, incidence study | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| সম্পর্কিত≠ | 6 | 4 |
| সারসংক্ষেপ≠ | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
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