Stats For Bios

@statsforbios.bsky.social

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Statistics for biologists, medics, statisticians. Anyone really. By Tim Lucas, lecturer in epi/stats.

Two curves representing estimated relationships between temperature and respiratory mortality risk. One is using daily disease counts and daily temperatures. The other uses weekly disease counts and daily temperatures. Both curves are qualitatively similar and CIs largely overlap.
Screen shot from chess.com app showing the review of my game with no blunders, misses or mistakes.
Two maps. Lines come from various countries and link to a horizontal bar graph of house price to income ratio.
A line plot from the year 1840 to 2000. One line is the total number of dinosaur genera. The other is the number of dinosaur genera that are still considered valid. Both increase very rapidly from the 80s.
A poster with a map of predicted air conditioning ownership
Sylvain presenting his poster
Simon presenting his poster.
Photo of Samano presenting her talk
"Colors for the plots were gathered from the pokepal palettetown package (Lucas 2016)."
Book page with two dents.
A serval
A run-down, closed-up venue. Looks pub size.
Gig poster. Bovine sex club venu.e Decade, wolfcharge absolutely and manic. 9pm, nov 8th, $10.
Four histograms. a) Usage per week (mostly between 1 and 6 times a week), b) likely to recommend (mostly likely), c) app rating (mostly 4-5 stars) and d) attitudes to future use (almost 50/50 on future use).
A table of stata prices. Standard is $94. "MP 2 core" is $275.
Screenshot of disagapp. Shows malaria data from madagascar aggregated to admin regions on an interactive map. A nicely designed user interface provides modelling capabilities.
6 plots showing metrics of a model with different numbers of components, 1-10. Log likelihood, AIC, BIC and others are shown. They all very smoothly improve with number of clusters. No clear cut jumps or elbows.
A dual axis graph. Two lines showing two variables changing through time. Text, next to each line, says what the variable is and which y axis it corresponds to.
A compound figure. The main image is of Africa with colour showing the number of models that agree in each pixel. 4 models agree in areas of west africa. 3 models agree in a large area should of the Sahara. The inset has four binary prediction maps for the different models.
3 maps of Bihar India. Map of estimated delay is diagnosis. Posterior probability that the delay is greater than 30 days. And the raw block mean delay.
A screen shot of a table from R. Columns are artist, scrobbles and year. Excerpt: 87 Andy B & The World 282 2022 88 Celeste 158 2022 89 Israel Vibration 156 2022 90 Astronoid 131 2022
A potato scone. It is a fried pancake type thing. Golden brown, glistening slightly from the butter, served with a mega crunchie looking thing that I can't remember of the name of and a fried tomato. The adjacent fried bacon and black pudding is implied but not directly shown in the image. Availability of brown sauce is open to interpretation.
AUC curves for prediction of idiopathic pulmonary fibrosis using polygenic risk scores. Separate curves for male, female and overall but all three curves are very similar.
Horizontal bar plot of ww2 deaths by country. Has deaths in millions and deaths as a percent of the country. Top and bottom axis have identical numbers on the axis ticks.
Image from the film quadraphenia. The main character (whose name I've forgotten), stands in an alley in typical mod clothes.
A photo of a laptop with maps of environmental variables in Madagascar and some R code. In a bar (in Brussels) with quite a nice plant.
Technical analysis (for trading) chart.
ggplot2 scatter plot with predicted probability of diabetes on x axis and diabetes (0 or 1) on y axis. Geom smooth creates a very straight line that almost exactly matches the reference slope=1, intercept = 0 line.
Photo of some R code. Nested loops.
Maps of cattle slaughter in South Africa. A) raw data aggregated to province level. B) Estimates of disaggregtted cattle slaughter at high resolution (16km pixels).
Panel plot. a) shows estimated coefficients from models with and without a spatial random field. NDVI is positive for both. LST is strong negative until you add a field. b) predicted rate of VL. High in the north of Bihar, India. c) The fitted random field. High in North Bihar as well.
Slide containing a schematic explaining BayesMVP. We have within-chain and between-chain adaption during MCMC burn-in.
A histogram of residuals. The x axis ranges from -1 to 0.4 with strong left skew.
Plot showing estimated coefficients and credible intervals. NDVI positively related to visceral leishmaniasis, Temp and distance to water negatively associated, but effect disappears when a spatial random effect is added. Also predictions of VL incidence in Bihar, India and a plot of the estimated spatial random effect.
A complicated network meta-analysis network plot.
The album cover to OK Computer by Radiohead
Two pages of salt sorya. Illustrations of eagles, lizards, monkeys, pigs etc.
A go game. Afraid I don't know how to export a test summary.
Map of solar vs standard time. UK is 0. A few areas are about -1 (Poland, Chad, Japan). A number of areas are >1 (Argentina, Spain, Morocco). Western China is +2.
Map of a stream network showing the estimated Gaussian Markov Random Field values with colour showing some areas where covariates alone underestimate temp.
A scatter plot with two model fits. One increases then gently decreases (red). The second increases and then remains flat (blue).
Mollweide projection of earth with east Russia being further left than Papua new Guinea.
Map of the world showing project net change in disease number. North and East USA is mostly positive. South and West USA is negative change. Lots of positive change in South and Central America, China and Indonesia. Africa is a complex patchwork.