class: center, middle, inverse, title-slide # The mathematics of overdiagnosis ### Claus Thorn Ekstrøm
UCPH Biostatistics
.small[
ekstrom@sund.ku.dk
] ### November 26th, 2018
@ClausEkstrom
.small[Slides:
biostatistics.dk/talks/
] --- class: middle # The impact of screening on patients *"If screening positive do I have the disease?"* *"If screening positive do I have a disease that can be treated?"* *"If screening positive do I have a disease that will give me problems?"* --- background-image: url('pics/graph.png') background-size: 90% class: top --- # Shiny ```r shiny::runGitHub("ekstroem/overdiagnosis") ``` --- # More precise diagnoses *"If screening positive do I have the disease?"* Positive predictive value: `$$\begin{split}PPV &= P(\text{disease} | \text{screen positive}) \\ &= \frac{P(\text{screen positive}|\text{disease}) \cdot P(\text{disease})}{P(\text{screen positive})} \\ &= \frac{\text{sensitivity} \cdot P(\text{disease})}{\text{sens.} \cdot P(\text{disease}) + (1-\text{spec.}) \cdot P(\text{no disease})} \end{split}$$` --- # Honest PPV *"If screening positive do I have a disease that will give me problems?"* `$$\begin{split} hPPV &= P(\text{problematic disease} | \text{screen pos.}) \\ & = \underbrace{P(\text{prob. dis.} | \text{scr pos., disease})}_{(1-OD)}\cdot \underbrace{P(\text{dis.}|\text{scr pos.})}_{PPV} \\ & + \underbrace{P(\text{prob. dis.} | \text{scr pos., no dis.})}_{0}\cdot \underbrace{P(\text{no dis.}|\text{scr pos.})}_{} \\ &= (1-OD)\cdot PPV \end{split}$$` -