<\/p>\n
Neyman yanl\u0131l\u0131\u011f\u0131<\/strong> ( prevalans-insidans yanl\u0131l\u0131\u011f\u0131<\/em> olarak da bilinir), son derece hasta veya \u00e7ok sa\u011fl\u0131kl\u0131 bireylerin nihai \u00e7al\u0131\u015fma sonu\u00e7lar\u0131n\u0131n d\u0131\u015f\u0131nda tutuldu\u011fu ara\u015ft\u0131rma \u00e7al\u0131\u015fmalar\u0131nda ortaya \u00e7\u0131kabilecek ve yanl\u0131 sonu\u00e7lara yol a\u00e7abilecek bir yanl\u0131l\u0131k t\u00fcr\u00fcd\u00fcr.<\/span><\/p>\n Bu \u00f6nyarg\u0131, bir \u00e7al\u0131\u015fman\u0131n sonu\u00e7lar\u0131n\u0131 iki \u015fekilde etkileyebilir:<\/span><\/p>\n 1.<\/strong> A\u015f\u0131r\u0131 hasta bireyler \u00f6ld\u00fckleri i\u00e7in \u00e7al\u0131\u015fmadan \u00e7\u0131kar\u0131l\u0131rsa hastal\u0131k daha az \u015fiddetli g\u00f6r\u00fcnecektir.<\/span><\/p>\n 2.<\/strong> \u00c7ok sa\u011fl\u0131kl\u0131 bireyler iyile\u015fip evlerine g\u00f6nderildikleri i\u00e7in \u00e7al\u0131\u015fmadan \u00e7\u0131kar\u0131l\u0131rsa hastal\u0131k daha \u015fiddetli g\u00f6r\u00fcnecektir.<\/span><\/p>\n Farkl\u0131 senaryolarda ortaya \u00e7\u0131kan Neyman yanl\u0131l\u0131\u011f\u0131n\u0131n iki \u00f6rne\u011fi:<\/span><\/p>\n \u00d6rnek 1: Hasta bireyler \u00e7al\u0131\u015fmaya dahil edilmedi.<\/strong><\/span><\/p>\n Diyelim ki bir hastanedeki bir grup ara\u015ft\u0131rmac\u0131 belirli bir grip t\u00fcr\u00fcn\u00fcn ciddiyetini ara\u015ft\u0131rmak istiyor. B\u00f6lgede bu grip t\u00fcr\u00fcne yakalanan 40 ki\u015fiden olu\u015fan bir \u00f6rne\u011fi rastgele se\u00e7iyorlar ve sonu\u00e7lar\u0131n\u0131 izliyorlar.<\/span><\/p>\n Bu senaryoda, \u00f6zellikle \u015fiddetli bir grip vakas\u0131na yakalanan ve bundan \u00f6len ki\u015filer \u00e7al\u0131\u015fman\u0131n d\u0131\u015f\u0131nda tutulacak. Bu, \u00e7al\u0131\u015fmaya yaln\u0131zca hafif vakalar\u0131 olan ki\u015filerin dahil edilece\u011fi ve gribin daha az ciddi olaca\u011f\u0131 anlam\u0131na geliyor.<\/span><\/p>\n \u00d6rnek 2: Sa\u011fl\u0131kl\u0131 bireyler \u00e7al\u0131\u015fmaya dahil edilmedi.<\/strong><\/span><\/p>\n Diyelim ki bir hastanedeki bir grup ara\u015ft\u0131rmac\u0131 belirli bir mevsimsel so\u011fuk alg\u0131nl\u0131\u011f\u0131n\u0131n ciddiyetini incelemek istiyor. B\u00f6lgede so\u011fuk alg\u0131nl\u0131\u011f\u0131na yakalanan 30 ki\u015fiden olu\u015fan bir \u00f6rneklemi rastgele se\u00e7iyorlar ve sonu\u00e7lar\u0131n\u0131 izliyorlar.<\/span><\/p>\n Bu senaryoda, halihaz\u0131rda so\u011fuk alg\u0131nl\u0131\u011f\u0131 ge\u00e7irmi\u015f ve iyile\u015fmi\u015f ki\u015filer \u00e7al\u0131\u015fmaya dahil edilmeyecek, yani yaln\u0131zca durumu daha a\u011f\u0131r olan ve iyile\u015fmemi\u015f ki\u015filer \u00e7al\u0131\u015fmaya dahil edilecek. Bu, so\u011fu\u011fun daha da \u015fiddetli olmas\u0131na neden olabilir.<\/span><\/p>\n Neyman yanl\u0131l\u0131\u011f\u0131 \u00e7o\u011funlukla bireylerin belirli bir hastal\u0131\u011fa yakalanmalar\u0131 ile bir \u00e7al\u0131\u015fmaya dahil edilmeleri aras\u0131nda uzun bir s\u00fcrenin oldu\u011fu \u00e7al\u0131\u015fmalarda ortaya \u00e7\u0131kar \u00e7\u00fcnk\u00fc bu onlara (1) iyile\u015fmeleri ve \u00e7al\u0131\u015fmaya dahil edilmemeleri i\u00e7in daha fazla zaman tan\u0131r veya (2) ) \u00f6l\u00fcr ve \u00e7al\u0131\u015fmaya dahil edilmez.<\/span><\/p>\n Vaka kontrol \u00e7al\u0131\u015fmalar\u0131 bu t\u00fcr yanl\u0131l\u0131\u011fa en duyarl\u0131 olan\u0131d\u0131r ancak kohort \u00e7al\u0131\u015fmalar\u0131nda ve kesitsel \u00e7al\u0131\u015fmalarda da ortaya \u00e7\u0131kabilir.<\/span><\/p>\n Neyman \u00f6nyarg\u0131s\u0131n\u0131n tuzaklar\u0131ndan ka\u00e7\u0131nman\u0131n iki yolu vard\u0131r:<\/span><\/p>\n 1. Yayg\u0131n vakalar yerine olay vakalar\u0131n\u0131 kullan\u0131n.<\/strong><\/span><\/p>\n Olay vakas\u0131<\/strong> , yeni te\u015fhis edilmi\u015f bir hastal\u0131k vakas\u0131d\u0131r. Yayg\u0131n bir vaka<\/strong> , bir bireyin tipik olarak daha uzun bir s\u00fcre boyunca hastal\u0131ktan muzdarip oldu\u011fu ve dolay\u0131s\u0131yla hastal\u0131\u011f\u0131n daha ilerlemi\u015f ve \u015fiddetli bir versiyonuna sahip oldu\u011fu, mevcut bir hastal\u0131k vakas\u0131d\u0131r. Olay vakalar\u0131 kullan\u0131ld\u0131\u011f\u0131nda, yeni bir vaka oldu\u011fu i\u00e7in bireylerin bir noktada \u00e7al\u0131\u015fmadan d\u0131\u015flanma olas\u0131l\u0131\u011f\u0131 daha d\u00fc\u015f\u00fckt\u00fcr.<\/span><\/p>\n 2. Takip \u00e7al\u0131\u015fmalar\u0131n\u0131 kullan\u0131n.<\/strong><\/span><\/p>\n Neyman’\u0131n \u00f6nyarg\u0131s\u0131n\u0131 \u00f6nlemenin bir ba\u015fka yolu da ara\u015ft\u0131rmac\u0131lar\u0131n bireyleri takip etti\u011fi ve \u00e7al\u0131\u015fma tamamland\u0131ktan sonra durumlar\u0131n\u0131 g\u00f6zden ge\u00e7irdi\u011fi bir takip \u00e7al\u0131\u015fmas\u0131 kullanmakt\u0131r. Bu, \u00f6zellikle hastal\u0131ktan kurtulduklar\u0131 i\u00e7in \u00e7al\u0131\u015fmadan ayr\u0131lan bireylerin izlenmesinde yararl\u0131 olabilir ve ara\u015ft\u0131rmac\u0131lar\u0131n bir hastal\u0131\u011f\u0131n uzun vadeli etkilerini daha iyi anlamalar\u0131na olanak tan\u0131r.<\/span><\/p>\n Eksik sayma yanl\u0131l\u0131\u011f\u0131 nedir?<\/a> Neyman yanl\u0131l\u0131\u011f\u0131 ( prevalans-insidans yanl\u0131l\u0131\u011f\u0131 olarak da bilinir), son derece hasta veya \u00e7ok sa\u011fl\u0131kl\u0131 bireylerin nihai \u00e7al\u0131\u015fma sonu\u00e7lar\u0131n\u0131n d\u0131\u015f\u0131nda tutuldu\u011fu ara\u015ft\u0131rma \u00e7al\u0131\u015fmalar\u0131nda ortaya \u00e7\u0131kabilecek ve yanl\u0131 sonu\u00e7lara yol a\u00e7abilecek bir yanl\u0131l\u0131k t\u00fcr\u00fcd\u00fcr. Bu \u00f6nyarg\u0131, bir \u00e7al\u0131\u015fman\u0131n sonu\u00e7lar\u0131n\u0131 iki \u015fekilde etkileyebilir: 1. A\u015f\u0131r\u0131 hasta bireyler \u00f6ld\u00fckleri i\u00e7in \u00e7al\u0131\u015fmadan \u00e7\u0131kar\u0131l\u0131rsa hastal\u0131k daha az \u015fiddetli g\u00f6r\u00fcnecektir. 2. \u00c7ok […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1025","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n Neyman Bias \u00d6rnekleri<\/strong><\/span><\/h3>\n
Neyman \u00f6nyarg\u0131s\u0131 ne t\u00fcr \u00e7al\u0131\u015fmalarda ortaya \u00e7\u0131k\u0131yor?<\/strong><\/span><\/h3>\n
Neyman \u00d6nyarg\u0131s\u0131n\u0131 Nas\u0131l \u00d6nleyebiliriz?<\/strong><\/span><\/h3>\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
SEO \u00f6nyarg\u0131s\u0131 nedir?<\/a>
Yan\u0131t vermeme \u00f6nyarg\u0131s\u0131 nedir?<\/a>
Tedavi yay\u0131l\u0131m\u0131 nedir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"