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

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17 views

What test do I use comparing pre and post intervention data? [on hold]

I am doing a health related project at at hospital where a policy was implemented for patients on certain therapy. Data was collected for the number of patients and days of therapy pre-implementation, ...
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25 views

How to interpretate difference between bootstrapped and not bootstrapped logistic regression

I'm using nonparametric bootstrap to estimate confidence intervals (CI) for a multivariable logistic regression. It happens sometimes that a parameter is significant (CI not crossing zero) in the ...
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1answer
45 views

Interpretation of linear regression where the outcome can only possibly cause the value of predictors and not viceversa

We want the verify the association between artificial pregnancy (artificial insemination) versus natural pregnancy and a series of pregnancy conditions (hypertensions, diabetes, etc). We first ...
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26 views

Evaluating logistic regression and interpretation of Hosmer-Lemeshow Goodness of Fit

As we all know, there are 2 methods to evaluate the logistic regression model and they are testing very different things Predictive power: Get a statistic that measures how well you can predict ...
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1answer
31 views

Interpretation of PCA eigenvectors

I have done a PCA analysis on genes expressed in cells under different stimulations, and retrieved the eigenvectors for a number of components. My question is can I use the value of these to ...
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2answers
32 views

How to calculate the probability of success of a Logistic Regression model with a single continuous predictor?

I have a logistic regression model below, predicting a dichotomous variable type from a single continuous predictor fatigue. Using the coefficients below I can obtain the increase in the odds of a ...
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11 views

R - cor.ci results interpretation

I am doing some survey analysis for my dissertation, and am interested in studying possible correlations between four variables, based on Technology Acceptance Model.The survey is built on a ...
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18 views

Geometrical Interpretation of Risk Ratio (RR)

Can anyone suggest any book or article on the topic "Geometrical Interpretation of Risk Ratio (RR)" ?
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1answer
20 views

categorial variables in LASSO regression

i just built a logistic regression model via Lasso Penalization. Now i'm trying to interpret the coefficients. One is "days". I have a coefficient for "days". when i do a normal logistic regression ...
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16 views

coefficents estimators via “stepAIC” and “Lasso-penalization”

i hope you can help me out with this one. First I split up my data set into a training and test data set. Then I used two approaches to build a logistic regression model. The first one was via ...
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1answer
20 views

Two moderate zero-order correlations leading to two weak to null partial correlations: What does it mean?

I am trying (operative word) to validate a scale composed of two highly correlated (~.7) subscales, let's call them A and B. In order to establish convergent validity with other measures, I am looking ...
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27 views

Need help double checking results of Binary Logistic Regression in SPSS

I'm working on some of my analysis section for my Master's Thesis in MPA, and while I have consulted my professors, I'd just like to double check with some external eyes (As obviously they are on my ...
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0answers
16 views

Can I interpret Standardized Regression Coefficients for an Interaction Term?

can I interpret standardized regression coefficients for an interaction term that is based on a binary and continuous variable? How would I interpret it: Would I add the standardized coefficients if ...
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33 views

Using and Interpreting Moderated Mediation with PROCESS Macro

I'm trying to look at a moderated mediation analysis using the PROCESS macro in SPSS, but there are several ways I could do this and I'm not sure what would be best or how to interpret the results. ...
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1answer
31 views

Logistic regression coefficient too high - cannot interpret odds ratio

Question of the day: I'm running a logistic regression (results below), and I come across a coefficient that is insanely large (in absolute terms). Usually, we don't care about things like that ...
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12 views

Relationship between predictive capability of a model and interpretability

I don't understand if there is a relationship between the predictive capability of a model and the possibility to use it for interpretation. Suppose I have fitted a linear model using only the ...
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2answers
62 views

Can I use a linear model estimated with lasso for intepretation?

If all the assumptions are correct, a linear model can be used for interpretation. It is possible to understand if a variable has a significant effect on the response and if so, it is also possible to ...
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0answers
24 views

Interpreting Elastic Net Coefficients and Accuracy Testing

I have a code for an elastic net model which is predicting the best lambda to use. With this, it provides coefficients for those values. I wanted to see how accurate those coefficients are that it ...
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1answer
33 views

intrepretation of ordered logit

I am trying to analyse my experimental survey results, where people are given one of two frames at random. 1.Gain is one of the frames. The dependent variable is the difference between whether ...
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28 views

Coefficient Interpretations

My regression equation is the following: dit = αdit-1 + γyit-1 + xit-1β + µt + δi + uut, where dit is my democracy score, and yit is my independent (income) variable. The rest are coviariates, time ...
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26 views

Interpretation of Model When Intentionally Excluding a Control Variable!

I am looking at factors affecting firm value (the dependent variable). I fitted the following model using OLS: $log(FirmValue_i)=\beta_0 + \beta_1Divers_i+ \beta_2HQLoc_i + \epsilon_i$ where ...
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47 views

Interpreting the results of dynamic panel models using GMM estimation

I am working on my master dissertation and I am struggling in interpreting my results properly. I am looking for a good source (book, paper, or website) that provides explanation on how to interpret ...
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1answer
38 views

Interpreting cubed root transformation

I’m running a linear regression where my response variable is mean satisfaction score of GP practices, while one of the predictor variables is funding received. I used a cube root transformation for ...
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44 views

Regression with two dummy variables: city and state in which one is implicitly included in the other: multicollinearity?

I am new to statistics and am really struggling with something that is probably easy for a statistics expert to answer. I am currently working on my dissertation in which I am trying to see whether ...
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1answer
64 views

How do I interpret this ACF and PACF plot?

I am very new to time-series analysis and have got some time-series data regarding product prices. The data set is monthly data collect since 1993 to 2014. I have tried plotting the ACF and PACF but ...
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2answers
60 views

Is it reasonable to expect any process to have a zero error rate ?

I am interested in the philosophical answer to the question: can any complex process with a measurable outcome of success or failure truly have a zero error rate (ie 100% success and 0% failure). I ...
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1answer
26 views

Can I use PCA to study how variables affect each other?

I'd like to know what PCA tells me about how the variables affect each other. For example, let's say I've three variables Cholesterol, Exercise, Calorie Intake and Sleep. I want to know how Exercise, ...
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203 views

Which matrix should be interpreted in factor analysis: pattern matrix or structure matrix?

When doing a factor analysis (by principal axis factoring, for example) or a principal component analysis as factor analysis, and having performed an oblique rotation of the loadings, - which matrix ...
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9 views

2k factorial effect interpretation

Say if I run a 2k factorial experiment with 3 variables: A, B, & C. For variable A it is varied parametrically, e.g. "-" = old parts, "+" = new parts. If my main effect of A is negligible and ...
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1answer
24 views

Multinomial regression interpretation SPSS [duplicate]

-- start reading from the edited part -- When running a multinomial regression the two values we are really interested in are the values 'B' and B(Exp)'. Let's say we have (fictive numbers): B: ...
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33 views
0
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35 views

interpretation of dummy coded linear regression

I'm struggling with the interpretation of a regression model where a categorial variable (5 levels) is dummy coded. Here is the result of my calculation in R: ...
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2answers
55 views

How to interpret 95% confidence interval for Area Under Curve of ROC?

(I am following this paper, from page 47 on ...
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1answer
23 views

How are the results of multivariable quantile regression interpreted?

Is multivariable quantile regression interpreted the same way as a multivariable linear regression would be interpreted? For example, would I say something like "the coefficient represents the ...
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7 views

Finding specific instances between quantitative variables

I have two sets of data that share a common date/time stamp. the first set of data is power and the second is radiation. from both sets i am trying to identify significant instances: minimum power ...
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24 views

How do one interpret the results of wilcoxon-mann-whitney test in SAS?

I have done the Wilcoxon test in SAS. My class variable is race. I got a low p-value. What exactly does that mean?
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16 views

Significant interactions force main effects to be insignificant and plus change their sign--how to interpret? [duplicate]

I've read through many similar posts regarding significant interaction wiping out the significance of main effects, but since there were no questions regarding changing signs I decided to post another ...
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0answers
12 views

How to interpret the results of an analysis dbRDA?

I want to analyze the effect of landscape variables (size of the fragments, isolation and time of fragmentation) on the coverage value of a species matrix. For this, I used a distance based redundancy ...
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1answer
41 views

Interpreting a longitudinal generalized estimating equations beta cofficients

I've been struggling with wrapping my head around the GEE beta coefficients and I don't think I fully get it. There are other questions on CrossValidated that ask about GEE in the binary context ...
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1answer
34 views

Log-level model: variable in % -> what does that mean?

I have big trouble interpreting the following: I run a Fixed Effects model for (extract): Ln(Aeronautical cost) = share International Pax in % + share non-aeronautical revenue in % + share ...
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1answer
38 views

interpretation of coefficients from linear regressions with log dependent variable

I have a seemingly trivial yet troublesome question. Let's consider the following model: $$\ln(y_i)=\alpha + \beta D_i + \epsilon_i$$ where $D_i$ is a binary variable that indicates whether ...
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11 views

Interpreting standardised major axis (SMA) outputs

This is my first attempt at analysing a SMA output, seems simple enough , although I am afraid I may be reading it incorrectly. This function (sma(FinalBiomass~Diameter*Treatment)) is testing for a ...
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18 views

Interpretation of year interaction terms

I am currently specifying a multinomial logit model estimating labour market transition probabilities using quarterly survey data. I have two specific explanatory covariates that I am particularly ...
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53 views

Interpreting Regressions with (growth) rates as dependent variable

I have several regressions and I care about the interpretation of the coefficient(s) (as marginal effects or very small changes). Y is a variable which is a ratio, e.g. a growth rate or a share (not ...
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2answers
83 views

Does each eigenvalue in PCA correspond to one particular original variable?

I have a matrix of let's say 120 variables and 50 subjects (rows). Before computing correlation between the 120 variables, I want to perform principal copmonent analysis (PCA) on this matrix. I will ...
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1answer
56 views

Interpretation of quasibinomial glht (Tukey) results

I'm analysing chick survival between 3 different years using a glm with quasibinomial error structure. Hence, my response variable is a cbind of fledged chicks and dead chicks, and one of my ...
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1answer
90 views

Interpreting % Var explained in Random Forest output

I've run a Random Forest in R using randomForest package. The fitted forest I've called: fit.rf. All I want to know is: When I type 'fit.rf' the output shows '% var explained' Is the % Var ...
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1answer
37 views

How do I interpret interaction effects in a log-log regression model?

I have the following model: $\log(y)=\beta_0 + \beta_1 x_1 + \beta_2 \log(x_2) + \beta_3 x_1 \log(x_2) $ In interpreting the % change of $y$ that corresponds with a 1% increase in $x_2$ at a ...
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0answers
16 views

Are there any circumstances under which a confidence interval can be interpreted as a likelihood interval? What are they?

I read the answers provided to the question "are all values in a 95% confidence interval equally likely?". These answers raise questions for me regarding interpretation. I have read that under ...
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1answer
23 views

Backtransform coefficients of a Gamma-log GLMM

I am analysing data from an exclosure experiment, this means for several years, goats were kept outside a fence and inside the fence, plants could grow without being grazed. Outside the fence, grazing ...