Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Penilaian Ujian Saringan Padanan× | Kajian Kawalan Kes Padanan× | |
|---|---|---|
| Bidang | Epidemiologi | Epidemiologi |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1980s–2000s (formalized alongside diagnostic accuracy methodology) | 1950s–1970s |
| Pengasas≠ | Methodological synthesis from matched case-control and diagnostic accuracy traditions (Pepe, Zhou, and others) | Brian MacMahon and others; systematised by Schlesselman (1982) |
| Jenis≠ | Observational diagnostic study with matched design | Observational analytic design |
| Sumber perintis≠ | Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198509844 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474 |
| Alias | matched diagnostic accuracy study, paired screening evaluation, matched-pair test performance study, matched screening assessment | matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design |
| Berkaitan≠ | 6 | 5 |
| Ringkasan≠ | Matched screening test evaluation assesses the sensitivity, specificity, and predictive values of a screening or diagnostic test using a matched design, in which disease-positive cases are paired with one or more disease-free controls selected to share key characteristics such as age, sex, or clinical setting. Matching controls for confounders before measuring test performance produces more precise and less biased estimates of diagnostic accuracy, and enables direct paired comparisons of competing tests within the same subjects. | A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association. |
| ScholarGateSet data ↗ |
|
|