Peremeditsiin. Steinar Hunskår

Чтение книги онлайн.

Читать онлайн книгу Peremeditsiin - Steinar Hunskår страница 92

Peremeditsiin - Steinar Hunskår

Скачать книгу

ja mitteolulised muudatused.

      Joonis 1.5.2. Fagani nomogramm diagnostiliste testide tõlgendamiseks, mis põhineb testieelsel tõenäosusel ja tõenäosusmääral (likelihood-ratio). Testijärgse tõenäosuse saab välja lugeda, tõmmates joone (joonlauaga) läbi teadaolevate või oletatavate testieelse tõenäosuse ja tõenäosus-määra väärtuste. Nomogrammi kasutamise piirangutest räägitakse teks-tis. Allikas: Fagani „Bayesi valemi nomogramm“ ajakirjas New England Journal of Medicine (1975).

      Testieelne tõenäosus

      Tõenäosuse määr

      Testijärgne tõenäosus

      Конец ознакомительного фрагмента.

      Текст предоставлен ООО «ЛитРес».

      Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.

      Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.

/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAIzAa4DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopCcUAL RXAat+0F8MNCuHg1H4i+FLGdGKtFca3bI6kdQQXyKt+F/jV8P/G14tp4e8ceHNcu2OBb6dqsE8h/ 4ArE/pQB2lFIDmloAKKKKACiiigAooooAKKKKACiiigAooooAKKKiurmOytpbiZtsUSF3OM4AGT+ goAlor5q8A/8FFfgN8TfGuj+E/DvjCe+1zVrlbS0t20i7jEkhzgFmjCjp1JxXW/Hj9sD4U/s23+m WHjzxMNM1DUU82Cyt7WW5m8rJHmMkakqmQRk9SDjODQB7RRWT4U8V6R458N6br+gahBqujajAtza Xts26OaNhkMD/kjoa1QQenNAC0UUUAFFc/488e+H/hh4R1PxP4o1SDRtC02Lzrq9uCdsa5AHAySS SAAASSQAMmuB+Af7V3wy/aXh1RvAPiIapPphX7XaT28ltPGrfdfZIoJUkEbhkZ4ODQB69RXgeuft 0/BTw58X1+Gl/wCNYIPFP2kWUifZ5Wt4bgnAhecL5atnAOTgE4JBr3ygAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApk3+rP1H86fTJv9WfqP50AfzN2Xg1/i L8e4PCcV0lhJrniUaYt08e9YTNdeWHKjBIG7OM84r3H9sX9gTxR+xrpXh/xJJ4qs/EekX959jS8t IHtJ7e5CGRQULNwVRiGVuqnIHGfBpPFOoeBvja3iPSVjfVNI8QnULRZoy6GaK5LoGUfeG5Rkd69p +LXxo/aD/bz1zRdFvtDvtcSzkZrTR/D+kvFbRyMMNK/XnHG52woz0ycgH6Z/8Erf2iPEfx2+At/a eLb2bVda8MX40/8AtK4bdLc27Rh4jI38Tr8yljyQFJyck+hfFL/god8BvhD4kn0DW/HENxq1uxS4 t9Jtpb7yGHVXaJSoYd1zkdxXyT4g+HXif/gnh/wTi8Rwm8W0+IXjHU4oLy4s5c/2f5y7DHG46skM bjeOjyEqeAT8J/s06r8A9LbXbj426N4s8QySBI9NtfDzKkcWQ3mSyN5iMXzt2jp94nPFAH7zfBH9 pP4cftE6VPfeAfFFrrgtsfaLYBorm3z0MkLgOoOODjB9a5X4wftvfB34D+Mn8LeNvFR0fW0t47o2 32G4l/dvnadyIRzg8Zr8V/2SficfhF+2J4R1Twdc6gvh+619dKVLwBZrnTribygkyrld2xlYgZAd QR0Fesf8Fg4zH+1+ArElvD1j+e6Uf0oA/VPxF+2v8IfDXxM0D4f3HikXPivWpLaK3sLK1lnMbT7f KErKu2IsHU4YggHJAFegfFX4y+Cvgj4ZfX/G/iOx8O6YDsSS7kw0r/3I0GWdvZQTX5gfsOf8E5vE fjlfh/8AHfX/ABzFaTvqMGu2+ltaNcy3EUc2QZZi67WfZxgNgEZ9B86f8FDfjRffGL9rjxNbaze3 Efhzw5qDaHZQQLu+zwROFmdEJALuwdjnGflGcAYAP1W8I/8ABTf9nfxj4ht9HtvHX2G4uHEcU2qa fcWluxJwMyugVfqxAr6E8efETQPht4G1Txhr98LTw/ptv9qubuNGlCxcfMAgJYcjoDX8/X7Rmpfs 8al4b8Pr8GNE8ZaPrdtIYtSfxEyPFeRbD+94kbbJuA4UKpDHgYFfb/wE+JGp/ET/AIJH/FKw1a5l upvDNpfaTBLLy32dUiliXJ67RIVHoAB2oA+wvDn/AAUB+A3inw34i16y8fWqaXoKxNfT3VvNBt80 sI1RXQGRmKNhUBPFP+DX7e3wT+O/in/hHPCvjBX1tkZ4bPUbSWzacKCW8syqAxABJAOcAnHBr8Zv 2Gv2atP/AGq/jfJ4P1nWLzR9HttOn1S5ksQpmkEbIiom4FQSZByQeAfWvOvjn8Mpfgj8cPF/ge21 CS7/ALD1SaxhvP8AVvKgPyMQOhKsM496AP2/1/8A4KZfs7eHfFkmgXHj6OeeKXyZLyysbi4tFbOP 9ciFSB/eXI96+ldD13TvE2jWeraTewajpl7CtxbXdrIJIpo2GVdWHBBB6ivwu/bu/YW0z9kjwl8P tX0vxHe65LrSy2+oLdxoqpcJGj7otoGEO5htbJG0cnNfUn7EXx/1v4bf8EyPiJ4ljcz3ng+7vrbS TJ8yxNIsLRAg9Qs1wzY9OKAPsb42ftu/Br9n7Wf7H8YeMre31oAF9MsYZLy4iB5HmJEreXkc4bBq 98DP2xPhL+0Zdz2Xgfxbb6hqkKmR9MuYpLW62DqyxyAFlHcrnHfFfhB8CvEfwxu/ibqGufHWHxN4 n0mVJLhrfRpAZ7y7dwS08jSI23Bckq24tjnGarat8QNA+Gn7QEXjL4ONrel6DpeoRX+kJq5UXcIA UvE5ViGXO9OSdyHDZyaAP6OfFni7RfAnh2/17xDqlpoujWMZlub6+lEUUSjuWPvgAdSSAOa+YF/4 KYfs8+LL278PWfjoQ3VzHJbw3N5p9xBau5UgfvXQKoJ7tgc18df8FkvjVquta58O/A1pcS22hy6Q niK5t1OFmmmZki3evlqjY95DWX+yz/wTD8PfG39liT4ia74k1Ow8RatDcz6RFZGP7NbpEzovnKyl n3MhzgrgEY5oA+Yv2Fj/AMZjfCn/ALGCD/2avvP/AIKc/DH4H+N/jD4eufGnxam+HPjGLSIUlt30 WfUYbmy82Xy2Hl42OG80dTkYyBjn4K/YSXb+2H8Jweo1+Af+hV75/wAFmCR+1PoPP/MqWn/pTc0A fb+qfHX4b/srfsE6Fd+BPF032KfRLuy8Iate2TyPe6gqSurPGUwu6UOcOAo6dK+Hf2QP+ChHimP9 omz1/wCNnxO1aXwpHYXatDKHNqJmUCPEECYznODt4r31/gZofxl/4JN+ENR1m7vrabwdoGpa/YrZ uqrLPGLnasm5TlPUDB96+FP2FP2fvD/7S/x7tPBXiW71Cy0yXT7q6MumSIkweNQV5ZWGOeeKAP3x 0z4w+D9U+F9r8RV121tPBlxZLqCatfN9niEDdHbfgrnjg85OMZr56uf+CqP7OFtqj2R8bXEoV9hu YtHu2hJ9Q3l8j3xXzv8A8FT/AIWax8Kv2TPhX4Q8KvqN54G8N3X2S/nkO5/liC2rTlQBjJkGcAbi vfFfD37N+pfs33Wi3OifGfRPFdlq1xOxt/FGh3oaK3jKjAe3xkbTk7gHznoMcgH7HftU6z8KfjR+ x7ruqeJvFr6f8ONYt7aaLxFp8DzGJvtCeRIsYXcw80KCpAyMg46j5x/4Jb/Dj4LeBfGvi9/A3xRm +I/i6fT0WYrpE+nQWtmJlzhZAd7M/l5OeABgdTXa/tt6f4W0f/gmDeWHgnUYtW8KWmnaNb6bfwuH FxAl1bqshI4ycEngck8DpXyx/wAEUST8c/Hf/YvL/wClUVAC/FT4PfsvXn7W+t6zqnxtvdPiPiKS bU/Co0G5eb7X5+ZYUugNojMmRnaSATgnrX6efHL9p74c/s3xaNJ8QNeOhpq7TLZn7LNP5hj27/8A Vq2MeYvX1r8GfjsT/wANieOef+Z0uv8A0sNffP8AwXCTPhn4RvnkXmpj/wAct/8ACgD648Uf8FAv gV4R8CaD4sv/ABxB/ZmurI+nwwW00l1MiSNGz+QF3qoZWG5gAccZrsvgR+1L8M/2krK8n8A+JodX mssfarKSN4LmEE4DNFIA20ngMAR2zX5FfshfsA2H7TH7Pnjbx9qfim90u/0yS4s9JtLdFeLzIYBK TNu5KkuFAXGOTznFcN/wTR8V3/hb9s74e/YZ2jj1KabTbqMHiWGSCTKt6gMqN9VBoA/oGopAcgGl oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmTf6s/Ufzp9IRmgD+cH4 QAH9sbwWSVKnx3Z9xz/xMFr+jyOJEXCqFGTwOBWHF8P/AAxBdpdR+HdJjuUcSrMtjEHDg53A7c5z zmt+gD55/bz+AGpftIfs36/4W0Pa3iCCSLU9NidgqzTwknyiTwN6s6gngEjPFfiJ8NPG1r+zx4p1 rRfiJ8HtH8YSh1SfS/FEU1rd2ciZHyOpBUHPIZWBwCPf+kGue8S/Dvwt4zdW8QeG9I1xk4U6lYRX BH0LqcUAfkx+xl8ZPhB8bP2nPCPhhP2evCXhJZjNdWuoWs9xdXEN1BGZomBJCqMxnqp5K/jwX/BY L5v2v4jkf8i9Y55/25a/ajw54D8NeDwRoPh/S9EB4I06yit8/wDfCipNV8G6Drl39q1HRdOv7naE 866tI5XwOgyyk45oA8c/YOGf2PvhPg/8wGDn8Wr8rv8AgpZ+y34o+D/x+1/4gWukS6l4I8R3p1SK /WAyQW9w5DS28+OF+fJG7AZW4OQQP3GsbG20y0itbS3itbaJdscMKBEQegUcAfSlu7SC+t5ILmGO eCQbXilUMrD0IPBoA/AjTv2ufhXFpMcV/wDsu+BLvVAoD3UF9cwws3dhFliB7bq/QC0l8K6t/wAE pvGXiLwr4S0zwVDr/h68vb3TNKSRIFug3kuw8wlsERLjJPGK+yIfgl8O7a9+2Q+A/DMV3nd56aPb h8+u7ZnNdXNpVnc6c1hNaQS2LJ5bWzxq0ZX+6VIxj2xQB+KX/BHDA/ar1rkc+F7zHP8A03t68S/b sI/4bO+KR3KANffJJHHCV/QZpXg7QtCujc6bounafcFShltbSOJyp6jKqDjgcVDe+AvDWo3ct1de H9KubmVt7zTWMTu59SxXJNAH5yf8Fq+fhb8KeR/yErnqf+neOqn/AATi+FUfxw/4J9fFjwIbhbaT W9Xu7WKduVim+zWzRM2OwdUJ9q/TPV/DmleII4o9T0yz1GOIlo1u7dJQhxjIDA4/Cn6RoWnaBbtB plha6fAzb2jtIViUt6kKAM8DmgD+cuw03WP2UPi1e6Z8S/hfpviCeBWt7jQ/E0UgikXIIlglRh6D bIpZSCeDmvevhX+0V8F/iR8WfBfhef8AZl8G6NpmsatbWF3drd3N1LHHI4QsijbyMg854Br9r/Ef g3QfGFutvruiadrUC9ItRtI7hR9A4IFUvD3wy8H+EZ/O0Lwrouiy/wDPTT9Ohgb80UGgD85v+Cwn 7Met+JNP8L/E/wAL6ZJfWWhWJ0nVre0jLPbW6uXhm2jkopaRWP8ADlT0yR8nfs7/ALfXxb+GXwmk +DvhLSrHXzqDS2ujyPBJLe2rTkhkhVGw/wAzMVDA4LHqOK/e50WRCjAMpGCCOCK5vRvhl4Q8Oas+ qaT4V0XS9TkzvvbPToYZmz1y6qDz9aAPwA/Yx0y78L/trfDTTdUi+yX9l4oitLmCRgWjlV2RlOD1 DZFe5/8ABZgf8ZUaCMjI8KWnf/p5ua/ZaLwN4cg1AX0eg6XHeiTzhcLZRCQPnO7dtznPOc5qXVvB +ha9crcalo2n6hcKoQS3VpHK4UZIGWUnHJ496APkj9l3wVc/En/gmHpnhSxYC91rwjqWn25JGPNk a5RM+24ivyC+B/xg8X/shfG2LxJZaVFH4h0gz2N3pWsROowylJI5FBVlI9QeoFf0h2Gn2ulWcdpZ W0NpaxDCQwRhEUegUAAVz3iD4WeDPFmoi/1vwloesXygAXN/psM8oA6fM6k0AfEf7R//AAUI1n4a /s8fBbxZceEND8Q3HxAsHu9X0a8jkNn5HlIWjRjuxlpBjfuyFPBr8wf2gviX4F+NXinSbv4d/CaD 4bXTq0d5ZaZfvdx3krEbDHCEUR45GEHOenHP9F154V0bUNIj0m60mxudLjUIllLbI8CqBgAIRtAA 9qydB+E3gjwtfC90XwfoOkXg5FxYaZBDIP8AgSqDQB+cHjX4YeJ/hD/wRv1LQfF9vLp2sPc297/Z 9zxJaRzanE6RsD91sHcV6gsQeRXm/wDwRS4+OfjoZGf+EeXjP/T1FX7EalpdnrFm9pf2sF7avjdB cRrIjYORlWBB5FU9I8JaJ4fnebTNHsNOlddjSWlrHEzDOcEqBkZoA/nZ+OxB/bD8cncuP+E0uudw /wCf019+f8FwefC3wkGRn7bqfBP+xb1+kM3w/wDDFzdPcy+HdJluHfzGmexiLs2c7iSuSc96u6x4 b0nxCsS6pplnqSxEmMXdukuwnrjcDjOO1AH5/f8ABKQj/hiPxzyDjVtSzg9P9Dir89P+Cewx+2Z8 Kskf8hb1H/PGWv6D9M0DTNFs3tNP0+1sbVyWaG2gSNGJGCSqgA5FULHwH4b0y

Скачать книгу