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Samenvatting 1e Ma: R-studio commando’s + vb'en $10.58   Add to cart

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Samenvatting 1e Ma: R-studio commando’s + vb'en

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Voor toegepaste biostatistiek in de 1e master Biomedische Wetenschappen. Alle commando's uit de 6 video's uitgeschreven in een document met extra uitleg & toegepaste voorbeelden uit de video's.

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  • November 6, 2024
  • 7
  • 2024/2025
  • Summary
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Commando’s R-studio

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1. Simpele lineaire regressie: dataset met 1x en 1y ....................................................................2
1.1. Regressierechte weergeven ........................................................................................2
1.2. Samenvatting van regressie.........................................................................................2
1.3. F-test voor simpele lineaire regressie ...........................................................................2
2. Simpele lineaire regressie: dataset met meerdere x’en en 1y ..................................................2
2.1. Aanmaken subset ......................................................................................................2
2.2. Simpele lineaire regressie op 2 variabelen ....................................................................2
2.3. Meervoudige lineaire regressie ...................................................................................2
2.4. Berekenen van confidentie-interval voor x-variabele ......................................................2
2.5. Berekenen van predictie-interval voor y van 1 individu...................................................2
2.6. Berekenen van confidentie-interval voor gemiddelde x van een groep personen ...............2
3. Assumpties voor simpele & multipele lineaire regressie .........................................................3
3.1. Normale verdeling residuals voor x1 en y .....................................................................3
3.2. Residual plot .............................................................................................................3
3.3. Cooks afstand............................................................................................................3
3.3.1. Wanneer heeft een observatie een hoge invloed? .....................................................3
3.4. Simpele lineaire regressie op nieuwe dataset zonder outliers .........................................3
4. ANOVA, ANCOVA en correlatie ............................................................................................4
4.1. Kolom als categorische variabele instellen ....................................................................4
4.2. Nieuwe dataset maken zonder bepaalde waarden .........................................................4
4.3. ANOVA .....................................................................................................................4
4.4. T-testen ....................................................................................................................4
4.4.1. Zonder correctie ....................................................................................................4
4.4.2. Met Bonferroni correctie ........................................................................................5
4.5. Assumpties voor ANOVA ............................................................................................5
4.5.1. Normaliteit respons variabele in elke groep ..............................................................5
4.5.2. Homogeniteit van varianties: Bartlett test .................................................................5
4.6. Kruskal-Wallis test: non-parametrische test ..................................................................5
4.7. ANCOVA ...................................................................................................................5
4.8. Berekenen correlatiecoëfficiënt ...................................................................................6
5. Logistische regressie, sensitiviteit en specificiteit ...................................................................6
5.1. Logistische regressie ..................................................................................................6
5.2. Odds ratio, sensitiviteit en specificiteit .........................................................................6

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