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Questions tagged [interpretation]

Refers generally to making substantive conclusions from the results of a statistical analysis.

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Moderation coefficient in linear mixed models SPSS - interpretation

My model: IV: extroversion (5 point likert) Moderator: Comepetence (values 1-5) DV: Offer (values 5 to 15) Hypothesis: The negative relationship between Extroversion and offer is moderated by ...
breeks's user avatar
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1 vote
1 answer
32 views

Interpretation of average marginal effect logistic regression model [duplicate]

I am currently writing a master thesis on the relationship between the unemployment rate (measured in percentage points) and first birth hazards (i.e. the probability of having a first child) using ...
Flap's user avatar
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10 votes
2 answers
1k views

How to explain Hazard Ratio in layperson's terms

In the context of a Cox regression, I recently heard someone say that "the hazard ratio of 0.70 between the two treatment groups indicates that, during the whole followup time, of 100 persons in ...
Survival's user avatar
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Is the intercept of a complex sum-coded regression basically useless for interpretation? Maybe even for some simple models?

In regression analysis, one may choose to code categorical variables differently depending on interpretability considerations. One such coding scheme known as sum coding (a kind of effect coding ...
nsa's user avatar
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4 votes
2 answers
602 views

Simpson's paradox: How interpret results?

I am building GLMs to investigate the effect of environmental variables on frog occupancy and abundance (negative binomial). I am having an issue of reversal of estimates which, from what I found on ...
Marco Lassandro's user avatar
2 votes
1 answer
28 views

Why is it recommended to keep use.u=T (in bootMer) when doing parametric bootstrap for lmer models?

I am performing a parametric bootstrap with the intention of using the simulated values to create confidence intervals for my coefficients in a mixed model. I saw that it was generally recommended to ...
user229's user avatar
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0 answers
62 views

Interpreting by dividing up results of AB test

at my company we are doing AB tests (with 95% confidence) for features of our game (mobile app, hyper-casual game, Global scale). After the tests had ran its course, we have a practice of dividing up ...
Thinh Vuong's user avatar
2 votes
0 answers
45 views

estimating category thresholds across a continuous variable using Ordered logistic regression

I've got a set of tomatoes at various stages of ripening, with as an ordered categorical variable ["green","yellow", "orange","red"], along with their weight as ...
Nath's user avatar
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4 votes
1 answer
240 views

Comparing coefficients and confidence intervals when some categories have very few observations (logistic regression)

I'm fitting a logistic regression model (with multiple predictors) to data where the outcome is a success or failure. My data points are in the range of 100,000. Most of my variables are categorical, ...
Myungjin Hyun's user avatar
1 vote
1 answer
19 views

After matching: How do I interpret the value of the type ‘distance’ (=Propensity score) in the balance measures table of the r-package cobalt bal.tab?

I have used the R-package ‘MatchIt’ to perform (1) a nearest neighbour propensity score matching (NNM) based on the Framingham Heart Study and (2) for comparison, an optimal PS matching (OM) for the ...
user19939387's user avatar
1 vote
1 answer
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Interpreting GAM intercept (mccv's bam() function in R)

I am very new to GAMs (and, frankly, regression models in general), and I am struggling to understand the model summary I get when using the bam() function from the mgcv package in R, more ...
aevilok's user avatar
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1 answer
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Cohen's d effect size of a medication

Studies use Cohen's d effect size to convey the effectiveness of an intervention. As a general rule in psychology, an effect size of 0.2 is considered small, 0.5 is medium, and 0.8 is large. Suppose ...
Spock366373's user avatar
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1 answer
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Help interpret these P-values [duplicate]

What does it mean when the model P-value comes out larger than alpha but the P-value for one of the main effects comes out smaller than alpha? The actual ANOVA is below. Alpha is 0,0027.
Ladislav Révay's user avatar
0 votes
1 answer
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how to summarize moving average

This question is about how to summarize moving averages. Please assume the values in column Pct are % of people how have negative opinion about vaccine. column MovgAvg is the two year moving average ...
Ahir Bhairav Orai's user avatar
3 votes
2 answers
66 views

Can't get my head around how random effects affect interpretation of model coefficients

For example, if you are interested in the effect of age on another variable, and you have 3 repeats per individual, but individuals vary in age from the start, is the estimate for age in a random ...
Picapica's user avatar
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3 votes
1 answer
42 views

Why does the SHAP formula not state that |S| = |F|-1?

I recently read the paper "A unified approach to interpreting model predictions" by Scott M. Lundberg and Su-In Lee. In the paper, they establish that the Shapley value for the feature $i$ ...
Johan Nilsson's user avatar
1 vote
1 answer
38 views

ZIP interpretation

I am looking to improve my knowledge in data analysis and therefore in statistics. I am interested in sighting rays during underwater diving. I have a dataset that corresponds to nearly 10,000 dives ...
OBE's user avatar
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3 votes
1 answer
322 views

The best interpretable regression model currently

I'm seeking recommendations for explainable regression models for tabular data. I'm looking for approaches that offer a balance between complexity and interpretability – something more sophisticated ...
Karen's user avatar
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0 answers
28 views

What does a significant PACF and insignificant ACF plot mean about autocorrelation?

I am new to time-series analysis and have been trying to understand how to correctly identify different types of autocorrelation in my seasonal data. I have run a gam and am now looking at the ...
Jcarroll's user avatar
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0 answers
11 views

Can exponentiated coefficients in multinominal logistic regression (with softmax normalization) be interpreted as odds ratios?

Exponentiated logistic regression coefficients are interpreted as odds ratios. Does this still hold in multinominal logistic regression, where softmax is typically used to normalize probabilities to ...
tomas's user avatar
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1 vote
0 answers
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Help interpreting Residuals vs Fitted Plot with 2 clusters

What would this residual vs fitted plot indicate? It was generated by plotting a multiple linear regression model that was fitted on several variables that are continuous and categorical. I don't ...
Hiro's user avatar
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0 answers
59 views

Understanding of nominal p-values in sample size calculation

I need your help to understand the R-Output. In this example, two interim analyses were planned. The adjusted p-values are shown below. However, I am still not clear what the nominal p-values mean. ...
Anonyme Ironikerin's user avatar
1 vote
0 answers
47 views

confusion about random effects summaries from lme and tab_model SjPlot

I am running into two issues. As such, I am not confident in my interpretation of summary estimates from the Random Effects part of lme function. I used the ...
Science11's user avatar
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-2 votes
2 answers
68 views

Linear Regression switch in sign when including intercept [closed]

I am running a simple regression of y on x. When I include the intercept the beta for x is negative and significant and when I don't include the intercept the beta is positive and significant. What to ...
acooper's user avatar
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4 votes
1 answer
257 views

Making sense of binary logistic regression results/Interpreting odd ratio in r

I am using binary logistic with two response level, Yes and No. The results are in log odd I learned and was advised earlier (question was on multinomial logistic regression) to exponentiate my ...
Amelia Nicodemus's user avatar
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0 answers
27 views

Can someone please help me interpret this regression model

I want to understand predictors of wine spending. Below are the results of my model. I can see they are all significant predictors apart from marital status. The question I have is how can I best ...
Noma Khabo's user avatar
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0 answers
21 views

Interpreting Contradictory Results in Bayesian Model Averaging: High Posterior Inclusion Probability with Unclear Effect

In my research, I am utilizing the Bayesian Model Averaging (BMA) methodology to identify the best set of regressors that can predict the outcome variable $y$. My dataset consists of five variables ...
Valerio's user avatar
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0 votes
0 answers
24 views

What are some possible reasons my feature has the opposite direction of effect in a multivariate model vs bivariate tests [duplicate]

I'm working on a model of rent for my employer. To keep it interpretable we're using OLS. I've had great luck on feature engineering so far in terms of increasing R-squared and reducing AIC. However, ...
Nye307's user avatar
  • 11
4 votes
2 answers
206 views

Interpretation of dummy-coded variable

I have a dummy variable, with 1 meaning the years in which an historical event took place and 0 meaning the years in which it didn't take place. I used 0 as the reference category. When the regression ...
brian's user avatar
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2 votes
2 answers
61 views

AIC interpretation: why is lower AIC better?

Why is AIC interpreted as lower is better, intuitively, can someone explain? I am running these two models, of which m1 has lower AIC when compared to ...
four77's user avatar
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1 vote
1 answer
32 views

Paired study designs for continuous data vs other types of data

My teacher says : We're going to consider something called a paired design. But for now, we'll only consider this when we're doing continuous outcomes. Sometimes you'll see this in the literature, ...
Happy Cretine's user avatar
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0 answers
12 views

Interpretation question about the article "Finite mixture modeling of censored data using the multivariate Student-t distribution"

I am reading this article and I am struggling to understand the following passage from page 6: \begin{align*} L_{i}(\boldsymbol{\theta}|\textbf{V}_{i},\textbf{C}_{i}) = f(\textbf{V}_{i}|\textbf{C}_{i},...
user1234's user avatar
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1 vote
2 answers
93 views

Interpretation of posterior predictive distributions

QUESTION UPDATE due to the comments I have received so far. The data, the example and the results below are fictitious, as I am interested with the correct interpretation of these results. Suppose I ...
Rustam's user avatar
  • 73
0 votes
1 answer
25 views

Interpreting a meta-regression table with odds ratios

I need a little help with my meta-regression interpretation. The effect sizes are based on odds ratios. I have used rma in the metafor package: reg <- rma(yi = es, sei = se, data = df, method = &...
Richard Summers's user avatar
1 vote
1 answer
39 views

How do I interpret this QQ plot and residual vs fitted plot?

I have a model in R looking at infectious disease spread on social networks, and I am running into a problem where my data are clearly not normally-distributed when I try to run a linear regression ...
mxseabat's user avatar
0 votes
0 answers
22 views

Interpreting AFT Model Coefficients: Mean vs. Median Survival Time in Log-Normal Distribution

When interpreting the coefficients of an Accelerated Failure Time (AFT) model that assumes a log-normal distribution, should we focus on the impact of coefficients on the mean survival time or the ...
ebrahimi's user avatar
  • 291
3 votes
1 answer
70 views

Interpretation of interaction plot from GLM

I'm doing a moderation analysis in R. My dependent variable is a rate (Diffcount/totalcount), the independent variable is an index (continuous), and the moderator is a categorical variable (3 levels). ...
YYM17's user avatar
  • 135
1 vote
1 answer
63 views

Intuition behind the first, second, third order differencing. When to use them?

I am working with time series data and out of curiosity took the first, second and third order differences of my data. However, I am not quite sure when they are used? I also wonder about the ...
Mostafa Bouzari's user avatar
1 vote
2 answers
41 views

Interpretation of incidence rate ratio

The incidence rate ratio (and 95% confidence interval) of rotavirus gastroenteritis for the vaccine group compared to the placebo group is $0.67 (0.55, 0.82)$. I want to know approximately how many ...
Happy Cretine's user avatar
4 votes
2 answers
131 views

How do we interpret the covariance matrices $\textbf{U}$ and $\textbf{V}$ in the Matrix Variate Normal Distribution?

Consider the Matrix Normal Distribution. My first question is: how do we interpret the entries $\textbf{X}_{ij}$ of the random matrix $\textbf{X}(n\times p)$? My second question is: how do we ...
user1234's user avatar
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0 votes
1 answer
54 views

regression coefficient language

Consider two ways of interpreting or displaying the coefficient estimates in a regression. For a small increase in X, Y decreases by the coefficient estimate amount. For a one standard deviation ...
Frank Swanton's user avatar
3 votes
2 answers
62 views

Effect of interaction term: what if one of the main effect is not statistically significant?

Suppose we have the following Poisson regression model: $\log(y) = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \beta_3 x_1 x_2$ Where, for example, $y$ is the number of children in a family, $x_1$ is the ...
robertspierre's user avatar
1 vote
1 answer
84 views

How to interpret coefficients, cross-section versus panel with fixed effects

I study the impact of a set of variables on the number of farm workers on long-term contracts. I have a panel with 8,000 geographic units and 6 years. I am particularly interested in one variable, ...
Mikhail's user avatar
  • 97
4 votes
4 answers
134 views

Interpreting sub-sample analysis when coefficient signs are opposite

Suppose I run the following OLS regression: $y = \beta_0 + \beta_1 D + \varepsilon$ where $D$ is a binary variable for treatment group, and $y$ is the outcome variable, say income. $D$ is randomly ...
Hosea's user avatar
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0 votes
0 answers
15 views

Interpretation of interaction term in R logit output

I hope this is the right place for this question. I have the following logistic regression output (these are the coefficients in log odds, not AMEs): This is from a logistic regression. The R command ...
Trutz's user avatar
  • 1
1 vote
0 answers
20 views

Interpretation of interaction term in R logit output

I hope this is the right place for this question. I have the following logistic regression output (these are the coefficients in log odds, not AMEs): This is from a logistic regression. The R command ...
user avatar
1 vote
0 answers
21 views

Modeling Wildlife Survey Data with Conditional Outcomes

I'm working on a project involving surveying for an invasive species which is removed upon encounter. When an individual is encountered, morphometrics are collected (e.g., size and sex). I'm ...
Alex Romer's user avatar
0 votes
0 answers
54 views

Interpreting Multidimensional Scaling (MDS) Plot: Rotation and Axis Orientation

First post here, so let me know if I'm missing things. I'm working with a multidimensional scaling (MDS) plot generated in MATLAB using cmdscale(1-(corr(Betas))). Based on prior experiments, I suspect ...
McKinney Pitts's user avatar
1 vote
1 answer
61 views

What's the justification for comparing two separate models built on subsets of data versus using one model that uses the whole dataset?

I've noticed that there are some data analysis being done in some scientific field where the authors would split out an entire dataset into subsets based on a particular property. One classic example ...
Syuma's user avatar
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5 votes
1 answer
287 views

How to interpret a nonsignificant interaction effect with significant main effects?

I have the results of a 2*5 mixed ANOVA drug trial, where there’s a non significant interaction but main effects of both time and group. Scores were taken before and after trial (time). 4 drugs were ...
Harry's user avatar
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