Questions tagged [interpretation]

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

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Can a predictor have a significant effect on non-signicant difference?

Let's say I estimate $d_t = b + \epsilon_t$, where $d$ stands for some difference between two variables and $b$ is a constant. I estimate this model $i$ times for $i$ different subjects (say firms, ...
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What is the name of data analysis software which writing outcome explanation? [closed]

What is the name of data analysis software which writing outcome explanation??? I forgotten the name of software
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How to measure a deviation from the theoretical model in terms of both frequencies and probabilities

Consider for instance, that I perform an experiment that consists in observing events. Let there be $N$ different events in total. I have a theoretical model that tells me which events should appear ...
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Interpretation of ordered logistic regression (with data set)

This is an add-on question to this question: Deleting outliers based on diagnostic plots is not working as intended (regression model) - data added Reading prior question is not at all relevant for ...
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Can I compare the probability scores across multiple independent models?

I have a developed a set of 4 independent binary classification models utilizing L1 regularized logistic regression. Each model has a different target variable, representing whether or not a consumer ...
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Machine Learning Model Interpretation. SHAP Vs LIME vs PDP

I tried to read a lot of papers/posts but I am not coming to any conclusions. What is the difference between SHAP/LIME and PDP. When to use which method? Are there any methods like ...
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What is the difference between a class activation map and a saliency map for convolutional neural networks?

I am researching attribution methods in computer vision literature to better understand how a CNN model arrives at its predictions. I have come across the terms ...
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Reporting estimates in mixed models

this may be a stupid question, but I have run a mixed effects model in R and the estimates, Standard Error and dfs are are all numbers such as -2.115e-01. I've only seen these in p-values before and I'...
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How to interpret the intercept of a multiple regression analysis after accounting for continuous and categorical variables

I'm attempting to run a regression analysis on a continuous outcome variable y, using a primary predictor variable that represents a treatment (...
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Interpreting Regression Results with Ratio Independent Variable

I am running a simple regression as part of an exploratory data analysis with my dataset, where my outcome is the number of children that an individual has and my primary X is the average change in ...
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Can the Poisson-Binomial distribution be used in a generalized linear modeling framework?

I recently came across the Poisson-Binomial distribution while doing some research for a modeling problem I have. I am trying to model the spread of an invasive species where I have county level ...
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Interpreting glm intercept and estimates

First off I will state that I have looked at similar threads (such as this (referenced later) and this) yet I still don't fully understand. My situation is as follows, I am trying to report the ...
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How to get the standardized z-statistic from dunn.test-package in R?

Sorry if this is a trivial question, but I couldn't find anything on it. I am running a Dunn-test with the dunn.test-package: ...
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Interpretation when Information Criteria and F-Test Disagree

I used SPSS (v. 25) conducted a pair of nested multtlevel models (aka linear mixed models) where the outcome criterion is itself also nested within participants. I followed Singer and Willett's (2003) ...
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How to approach Creating an ARIMA model with this data

I'm currently working on my first machine learning problem in a workplace and have some time series data going back for two years from January. This data is call counts per day at a call center I work ...
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How does adding a non-significant interaction render main effects non-significant?

I am fitting an accelerated failure time (AFT) for survival analysis. I have a continuous predictor, CTA_chrX, and a categorical predictor, metastatic (which can be yes or no). I fit two models: <...
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Interpretation of directedness in ANOVA

As far as I know, ANOVA results can be interpreted with respect to mean differences between 2 or more groups. But, we can not make any inference on which mean is larger or smaller in a statistically ...
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Compare/Interpret t-statistics

I've a table as the following that contains the results of one sample t-test on four independent collections for the null hypothesis that the mean is 0: ...
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Interpretation of Weibull Accelerated Failure Time Model Output

In this case study I have to assume a baseline Weibull distribution, and I'm fitting an Accelerated Failure Time model, which will be interpreted by me later on regarding both hazard ratio and ...
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Using ratios and the numerator as explanatory variables in regression analysis with fixed effects

I am running a fixed effects regression analysis with a ratio of number of sellers per capita and the number of sellers as explanatory variable on its own. How should I interpret the results? My ...
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Asking: interpret tobit regression to estimate willingness to pay from payment card

I have a research question, that I have to evaluate the Willingness to pay data for conservation. My input data in the type of payment card : $0, <\$2, \$2-\$4, \dotsc, >\$10$. I use middle ...
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How do you interpret results from crossCorrelation in R from spatialEco package?

I want to use the crossCorrelation function from the R package https://rdrr.io/cran/spatialEco/man/crossCorrelation.html spatialEco to examine the relationship between people's perceptions and the ...
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How to interpret change in main effect odds ratio with continuous by continuous interaction term?

I am running a logistic regression model to evaluate how age and another measured variable (endo_thickness) associate with clinical pregnancy as an outcome. Both associate at a univariate level with ...
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Interpretation of Regression Coefficient of Created variable

I have created a new independent variable based on the sum of the old variable. The old variable is a fraction that ranges from zero to one (e.g. 0; 0.1; 0.5; and so on). To create the new variable I ...
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Does this interpretation $\phi'(x)=-x\phi(x)$ of the normal distribution have any significance?

For the standard normal distribution $\phi(x)$, we can see that $\phi'(x)=-x\phi(x)$. Put differently, $\frac{\mathrm{d}\ln(\phi(x))}{\mathrm{d} x}= -x $. I see this as the fall in the value of the ...
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How to interpret significance of interaction term?

I have a problem interpreting an interaction effect. The interaction term (continuous_variable*Female) is significant (p < .05) in logistic regression, but the ...
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Event History Analysis (Discrete Time)-Substantive Effects Interpretation

I am working on an event history analysis project. I am using a discrete time survival model. Specifically, I am using a logit model. I am interested in examining the substantive effects. Can you ...
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Survival analysis output interpretation

I have two questions on survival analysis I was hoping some clever people on this forum could help answer for me! (1) In Cox proportional hazards model, if you add one variable onto the model (going ...
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How to interpret coefficients from rank based regression (Rfit package in R)?

I need to examine the relationship between an outcome variable (continuous) and a number of predictors. Since my data is non-normally distributed (i.e. the residuals from the multiple linear ...
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Boxplot without top whisker

I'm having some questions and hope some one could help me with them. When I plot the data into a boxplot, there is no top whisker but lots of outliers which is above the upper bound. As I'm looking ...
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Linear regression <> survival models in R

I have a question about survival analysis with a gaussian distribution of the response variable. I have interval censored data, that look something like this (just an example): ...
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Three-Way Anova: What does a significant three way interaction tell you conceptually?

Here's a made up example. Let's say that I have two factors, energy drink (Gatorade vs water) and gender (male and female). The outcome variable is mile time. A significant two way interaction between ...
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Report and Interpret Odds Ratios

I need to interpret odds ratios from a multiple logistic regression predicting self esteem ("SelfEsteemHigh")from 2 predictor variables (agreeableness & conscientiousness). ...
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How to interpret triple interaction in difference-in-differences

Suppose that I have a dummy $treated_s$, which indicates whether a state $s$ was treated at any point in time, and a dummy $time_t$, which indicates whether year $t$ is after the treatment year. The ...
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Confidence Interval “barely” includes the null, interpret as slightly increased risk of mortality?

I was reading this paper: Peralta, G., Sánchez, M.B., Roiz, M.P. et al. Diabetes does not affect outcome in patients with Enterobacteriaceae bacteremia. BMC Infect Dis 9, 94 (2009). https://doi.org/...
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Interpretation of regression variables

I hope you are well and that you are keeping safe. I was hoping you would be able to help me with an interpretation of a coefficient in my dissertation. I'm looking into the effects of air pollution ...
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Need help with conflicting regression and margins results!

I'm writing a thesis, for this thesis I'm doing an OLS regression with an interaction term. This interaction term turns out to be significant p < 0.05, one of the main effects is significant aswell ...
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1answer
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How to interpret these acf and pacf graphs? [closed]

I am trying to analyze these pltos but having a hard time since I don't know if they are even right... So i follow your advice and these new plots is what i got:
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Interpretation of y-axis in partial dependence plot

First off, I know there are many questions on this site similar to this one. I've read them, and have not been able to find a solution. In Elements of Statistical Learning, the following figure shows ...
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Conditional Indirect Effects and Then Probing

I am performing a moderated mediation as shown below. In this particular example, this is depicted as a "second-stage moderated mediation". According to Muller et. al. 2005, moderated mediation ...
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difference between R splines bs() and ns()?

I would like to model repeated measures data with R and the library splines. However, I am kind of confused about the difference between the bs () and ns () functions. (I am sorry if this might be ...
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Interpretation of interactions in inverse gamma glmm

i want to calculate the effects that the interaction between zone (4 levels), species (2 levels) and distance from contact zone (continuous) has on the pulse repetition period - song rate of the two ...
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Help on interaction terms

Briefly, I am analysing how competitions and games run and what can affect performance in those competitions. Each individual plays in multiple competitions one after each other and receives an ...
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¿How to compaire nested logit models using anova in R?

I have two logit models: Model A: ...
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Time series ARDL-model interpretation

Anyone knows how the interpretation of these ARDL models? Bounds test & ECT are easy to interpretation. But I want to say something about the short run and long run effects of variables. Long ...
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1answer
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Meaning of log-fit_ratio lnω in rstanarm AOV output

In the output of rstanarm's stan_aov() one of the parameters is the so-called log-fit_ratio, which, in one of the vignettes, is ...
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How to interpret transformed predictor variable in GLM regression?

Recently encountered a research paper which included a GLM regression with a binary dependent variable. One of the predictor variables, x_t, (or independent variable), is transformed by the following: ...
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Interpretation of estimation results

I have to analyze a paper for my econometrics class ("Happiness on Tap: Piped Water Adoption in Urban Morocco", Devoto et al., 2012) and I cannot wrap my head around something. In analyzing the ...
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What do the intercepts of multinomial logistic regression model mean?

I am interested in comparing the microhabitat choices made by juvenile lobsters. Lobsters were presented with a patch of seagrass and another habitat type (ie bare sand) at different seagrass ...
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Interpretation of interaction coefficients in difference-in-difference

There are two time periods: 2010 and 2015 There are two groups: treatment and control group The equation looks like this: $$ y= a + b_1\text{treat}+ b_2\text{post} + b_3\text{treat}\cdot\text{...

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