Compared to Sikkim, the state of Meghalaya had more diarrhoea, ARI and fever, and it was statistically highly significant. However, Tripura and Assam had significantly higher odds of having fever and ARI than Sikkim. There is an association between diarrhoea, fever, and ARI and factors such ...
We found that the proportion of the diagnoses of 'autistic tendencies' had a statistically significant increase of 2.04-fold from 1998 to 2012, with an adjusted odds ratio of 2.36 per decade (95% CI: 1.78 to 3.12, P value of 2.3e-09, GEE model) (Figure 4A, [see Additional file 1: ...
Lover of earth, wood, water and fire, Keith left us after a brief illness on November 27, 2022. Born to Evelyn and Frank O’Rourke, he was the second of four sons. He met Marlene and they shared their life together for 39 years. Keith worked in landscaping throughout his undergraduate...
To calculate the chances of a measured positive being wrong, you need to know the chances of getting a false-negative. Let’s say your false-negative rate is 0.1% and you have a p-value of 0.003 (i.e., a false-positive rate of 0.3%). You would expect, out of 1000 measurements, ...
(also likely to be related to few cardiologists). We are using a ZINB with number of cardiologists as the predictor in the inflation-part of the model and we get what we believe to be sensible results: as number of cardiologists increase in a region the odds of a certain/structural ...
This came up in a discussion a few years ago, where people were arguing about the meaning of probability: is it long-run frequency, is it subjective belief, is it betting odds, etc? Iwrote: Probability is a mathematical concept. I think Martha Smith’sanalogyto points, lines, and arithme...
There were relatively more multiple pregnancies in the historical GnRH agonist group (31.9%) than the ganirelix group (18.7%; P or=26 weeks was 5.0% in the ganirelix cohort versus 5.4% in the historical GnRH agonist group (odds ratio 0.94, 95% confidence interval, 0.62-1.42). CONCLUSION: ...
disease raise the odds of becoming infected if the same pattern does not occur for individuals not exposed to the disease) would be an example of a contextual effects model where interaction among Level 2 predictors with Level 1 ones are needed to further understand the phenomenon being studied....
They seem to be at odds with each other (professional squabbles?) but I’ve always gotten a lot out of both of them and thought they complement each other. The problem I have with heuristics is the same as the reaction I had to Gladwell’s Blink. Heuristics are critical – but they ...
2. Any reason to do “four flips”…and repeat vs just a string of 40,000 (or more) coin flips? Message #9 from Miller Your sense of the odds are correct in this case. Though I’d be willing to leverage. The probability I’d lose is pretty small and there are no black swans ...