related to communicating statistics and results, typically in words and numbers (as opposed to graphical visualization).
Questions tagged [presentation]
44 questions
41
votes
3 answers
How to present results of a Lasso using glmnet?
I would like to find predictors for a continuous dependent variable out of a set of 30 independent variables. I am using Lasso regression as implemented in the glmnet package in R. Here is some dummy code:
# generate a dummy dataset with 30…

jokel
- 2,403
- 4
- 32
- 40
26
votes
3 answers
How to describe or visualize a multiple linear regression model
I'm trying to fit a multiple linear regression model to my data with couple of input parameters, say 3.
\begin{align}
F(x) &= Ax_1 + Bx_2 + Cx_3 + d \tag{i} \\
&\text{or} \\
F(x) &= (A\ B\ C)^T (x_1\ x_2\ x_3) + d \tag{ii}
\end{align}
How do I…

kris
- 403
- 1
- 4
- 4
25
votes
3 answers
How to present box plot with an extreme outlier?
I could use some guidance about presenting some data.
This first plot is a case-control comparison for the cytokine IL-10. I've manually set the y axis to include 99% of the data.
The reason I set this manually is because the case group has an…

Alex C
- 251
- 1
- 3
- 3
19
votes
4 answers
How to best visualize differences in many proportions across three groups?
I'm trying to visually compare how three different news publications cover different topics (determined through an LDA topic model). I have two related methods for doing so, but have received lots of feedback from colleagues that this isn't very…

Andrew
- 581
- 3
- 8
- 16
16
votes
2 answers
How should I organize my poster presentation?
I am currently in the process of making a poster presentation and would like some advice (or reference to advice) about some of the aspects of the graphic. For examples posters I am talking about see the supplementary material for the ASA Data Expo…

Andy W
- 15,245
- 8
- 69
- 191
15
votes
3 answers
How to choose a confidence level?
I often use a 90% confidence level, accepting that this has a greater degree of uncertainty than 95% or 99%.
But are there any guidelines on how to choose the right confidence level? Or guidelines for the confidence levels used in different…

Oliver Moran
- 253
- 1
- 2
- 6
13
votes
5 answers
Cognitive processing/interpretation of data visualizations techniques
Does anyone know of research which investigates the effectiveness (understandability?) of different visualization techniques?
For example, how quickly do people understand one form of visualization over another? Does interactivity with the…

madereal
- 133
- 7
11
votes
1 answer
Displaying Ordinal Data - Means, Medians, and Mean Ranks
I have some ordinal data that is not normally distributed, so I decided to do non-parametric testing using the Mann-Whitney U Test. I am looking at differences between groups for seven scores - these scores are either 0, 1, 2, or 3 for each…

Eric
- 293
- 1
- 3
- 9
10
votes
2 answers
Good examples of statistics sections in applied academic journal articles
I am a biostatistician working in an applied field and I am responsible for writing the statistics methods section for the papers I collaborate on. In reading a lot of academic papers I've come across plenty of examples of badly written stats…

ccl
- 1
- 1
- 5
9
votes
2 answers
How could I visualise the importance of different inputs to the forecast for a black-box non-linear model?
I am building an interactive forecast tool (in python) as an aid to forecasting that is done in my organisation. To date the forecast process has been largely human driven, with forecasters assimilating the data in their natural neural networks and…

Bogdanovist
- 6,059
- 1
- 23
- 28
9
votes
5 answers
Representing experimental data
I have an argument with my advisor over data visualization.
He claims that when representing experimental results, the values should be plotted with "markers" only, as presented in the image bellow. While curves should only represent a "model"
I on…

Ivan P.
- 93
- 4
9
votes
2 answers
What scientific field(s) studies how people interpret quantitative summaries and visualizations?
There's an abundance of well-known resources offering advice on data visualization. (E.g. Tufte, Stephen Few et al, Nathan Yau.) But to what field(s) might one turn to for answers to questions like these:
Is the pie chart criticism relevant in…

Sean Easter
- 8,359
- 2
- 29
- 58
6
votes
2 answers
Risk assesment and non-statistician's perception of percentages
I'm planning on doing quantile regression for estimating pain relief after hip surgery. My aim is to construct for my patients information in this format:
4 out of 5 patients experience with your background experience at least a 50 % decrease in…

Max Gordon
- 5,616
- 8
- 30
- 51
4
votes
1 answer
The right way to report random effects in a Cox survival model
I have a data set (patients (15000) nested in hospitals (50)), with a number of covariates. I built a proportional hazards model in Stata, and entered site as a frailty term. I would like to report how survival varies between hospitals. I can…

drstevok
- 530
- 5
- 18
4
votes
1 answer
How to present the results of numerical comparisons
I ran a comparison where I estimated the parameters of a model using $S$ different methods several times. More specifically I simulated $M$ datasets $\boldsymbol{y}_1, \dots, \boldsymbol{y}_m$ from a model parametrized by $\boldsymbol{\theta}$,…

Matteo Fasiolo
- 3,134
- 2
- 20
- 29