Statistical light bulb
On this page I present my unstructured thoughts about statistics and epidemiology from time to time.
Finding evidence in the context of uncertainty is challenging.
Population and sample (July 4, 2022)Collinearity and confounding bias (February 11, 2022)
Role of variables in epidemiological studies (February 7, 2022)
Number converter between risks, incidences, percentages and decimals. (February 4, 2022)
Surprisal S-value: let's toss a coin to understand the value of a p-value (February 4, 2022)
Avoid categorization of a continuous variable (February 15, 2018)
Confusion caused by the p-value (November 17,2017)
Principles of statistical analysis (November 15, 2017)
Number converter between risks, incidences, percentages and decimals.
February 4, 2022The number converter helps to better understand the relationship between risks, incidences, percentages and decimals.
| 1 in __ | Dezimalzahl | Prozent | __ pro 1,000 | __ pro 100,000 |
| 1 in 1 | 1,00 | 100% | 1.000 pro 1.000 | 100.000 pro 100.000 |
| 1 in 2 | 0,50 | 50% | 500 pro 1.000 | 50.000 pro 100.000 |
| 1 in 5 | 0,20 | 20% | 200 pro 1.000 | 20.000 pro 100.000 |
| 1 in 10 | 0,10 | 10% | 100 pro 1.000 | 10.000 pro 100.000 |
| 1 in 25 | 0,04 | 4% | 40 pro 1.000 | 4.000 pro 100.000 |
| 1 in 50 | 0,02 | 2% | 20 pro 1.000 | 2.000 pro 100.000 |
| 1 in 100 | 0,01 | 1% | 10 pro 1.000 | 1.000 pro 100.000 |
| 1 in 250 | 0,004 | 0,4% | 4 pro 1.000 | 400 pro 100.000 |
| 1 in 500 | 0,002 | 0,2% | 2 pro 1.000 | 200 pro 100.000 |
| 1 in 1.000 | 0,001 | 0,1% | 1 pro 1.000 | 100 pro 100.000 |
| 1 in 10.000 | 0,0001 | 0,01% | 0,1 pro 1.000 | 10 pro 100.000 |
| 1 in 100.000 | 0,00001 | 0,001% | 0,01 pro 1.000 | 1 pro 100.000 |
according to Woloshin et al. (2008) Know Your Chances: Understanding Health Statistics. https://ncbi.nlm.nih.gov/books/NBK115435