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

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15 views

Is this interpretation of mixed ordinal logistic regression correct?

I am doing mixed ordinal logistic regression using clmm function in ordinal package. Before running the clmm model I have changed my DV into ordinal variable using: ...
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1answer
25 views

Interpretation of odds ratio

Can anyone help me interpret the results on the attached figure (drivers of preterm birth in Missouri)? This is the result of a multivariate logistic regression analysis. What can be inferred from ...
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0answers
28 views

$3^3$ factorial design

Suppose in a $3^3$ factorial design, factor A has three levels. We want to test the significance of A and after setting hypothesis $$H_0:\alpha_i=0 \quad\text{for}\quad i=1,2,3 \quad\text{Vs.}\quad ...
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1answer
51 views

How does the distinction between association and causation affect the interpretation of linear models? [closed]

Lurking variables probably have something to do with this. I'm just trying to figure out how their difference can affect a linear model.
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1answer
104 views

How to interpret “main effects” in a GLMM?

Recently, I asked a question about what procedure to use to analyse mixed data with dichotomous outcomes, see [here][1]. Now I started running some first analyses (mainly with SPSS, but I'll post the ...
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1answer
32 views

re-reflecting variable after transformation

I have a question about the process of re-reflecting transformed data. I see many questions and answers around this but I am not sure any answer my specific question. Many of my variables were ...
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1answer
46 views

How to explain when Main Effect and Interaction are not significant?

I've spent hours trying to interpret my data but I can't figure out how to explain the results when both the main effect and the interaction are not significant. I'm suppose to discuss my results, ...
3
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1answer
49 views

Research methodology, statistical literacy and communication

When talking to clients or offering advice, I often find myself having to question the choice of plotting variables over time. For example, if a client is interested in understanding the relationship ...
2
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1answer
44 views

How to interpret a status other than alive or dead in data for survival analysis?

I am working on a famous data set from this book. The data set consists of measurements on 418 patients. I am interested on modelling the variable; futime: number of days between registration ...
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1answer
128 views

Why is P value interpreted under null hypothesis? [duplicate]

P value is explained very nicely in the link . But still i have not understood Why is P value interpreted under null hypothesis?
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0answers
14 views

How to interpret odds ratio [duplicate]

I have the following data set and I applied logistic regression and my model is given below. $logit(\pi_i) = -60.71 + 34.27*Dose_i$ I know that $e^{34.27}$ gives the odds ratio, but don't know how ...
4
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1answer
43 views

Using predicted probabilities as regressors

I am working on a project where I investigate growth in wages due to migration. I correct for the endogeneity in the decision to migrate (only those that are most likely to gain from migration will ...
5
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1answer
99 views

Meaningful inference about data structure based on components with low variance in PCA

A lot of microbiome (microbial ecology) papers that I have come across use either principal component analysis (PCA) or principal coordinate analysis (PCoA) to make conclusions about the data. A lot ...
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1answer
28 views

Interpretation of significant interaction

I look for an intuitive understanding of interaction effect in ANOVA or regression. Let's keep things simple as the following. Suppose we have a standard 2 x 2 factorial design, where each factor ...
0
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1answer
27 views

prediction from panel regression

My question is simple (code and data at the bottom): suppose I run panel data regression (fixed effects using first differences) and I want use the estimate to generate prediction for a given data (a ...
1
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0answers
44 views

Tweedie P Value Interpretation

From Wikipedia (http://en.wikipedia.org/wiki/Tweedie_distribution) we know that The Tweedie distributions include a number of familiar distributions as well as some unusual ones, each being ...
0
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1answer
28 views

Compare means of two (contentwise) different variables

I have a question about comparing the means of two variables that have a different meaning but a (possibly) similar ways of measuring them. To give an example: Let's say I am conducting a study in ...
2
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1answer
73 views

Wrong Intepretation of Kruskal Wallis Test in R

I have some data (called egecNonmated) in R and I am trying to show that the distributions of a variable (MatchScore) are identical across three different Categories (Cat). I am using a box plot to ...
3
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1answer
92 views

Interpretation of interaction term

I have a model: $$ \ln({\rm earnings}) = a+b_1{\rm female}+b_2{\rm white}+b_3{\rm female}\times{\rm white} $$ ${\rm female}$ and ${\rm white}$ are dummy variables. I have interpreted $b_1$ and $b_2$: ...
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0answers
49 views

Interpreting output from cvFit(), understanding cross-validation in classification tree model

I am trying to understand how to interpret the output for cvFit(). The data is from UCI's ML repository. This is my model ...
3
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1answer
76 views

Interpreting results of chi-squared

Situation: A/B test of a single website change on a landing page. Alternating visitors to the landing page are shown a variation. The goal is to convert more visitors into customers. With data that ...
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1answer
47 views

estimating LMM with r

Suppose I have a model $$\begin{bmatrix}y(1)\\y(2)\end{bmatrix} = \begin{bmatrix}\mu \\ \mu \end{bmatrix} + \begin{bmatrix}\Lambda \\ \Lambda\end{bmatrix} + \begin{bmatrix}\varepsilon(1)/\rho_1\\ ...
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0answers
58 views

PSM, Diff-in-Diff and Neg-logged income variable? How to interpret estimates?

I am estimating a difference-in-difference based on propensity score matching. The "treatment"-variable defines whether a household registered for a public insurance which was only active for two ...
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0answers
113 views

interpreting y axis of a partial dependence plots

I have read through other topics on partial dependence plots and most of them are on how you actually plot them with different packages, not how you can accurately interpret them, So: I have been ...
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0answers
27 views

Statistic confidence interval

I have this statement: If a 95% confidence interval for the mean was computed as (25,50), then if several more samples were taken with the same sample size, then 95% of them would have a ...
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1answer
90 views

Interpreting a linear mixed effect model's interaction term

I am a biologist and am attempting to analyze the effects of time and location on depth. I was told I needed to use a mixed effects model to account for the random variables of Individual and tracking ...
1
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1answer
43 views

Best practice for visualizing a lift from zero?

Let's say you have two columns of data. Column A represents a value you had last month, and column B represents a value you have this month. If you want the percent change between the two, you math ...
2
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1answer
52 views

Interpretation of logged regression

I have run a linear regression with the following equation (in r): lm(formula = logTotal ~ Continent + logArea + Method + Servs) where ...
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0answers
42 views

Variance in significance with interaction term

I try to estimate the effects of NatRent (Natural resource rents in % of GDP) on GDP growth per capita (in %). When I include a Rule of Law (a measure for institutional quality) the coefficient of ...
2
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1answer
67 views

Interpretation of betas when there are multiple categorical variables

I understand the concept that $\hat\beta_0$ is the mean for when the categorical variable is equal to 0 (or is the reference group), giving the end interpretation that the regression coefficient is ...
1
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1answer
53 views

Spearman's rho for nominal / metrical data

Can Spearman's rho be used to calculate correlations between nominal (i.e., locations such as 1 = City1, 2 = City2, 3 = City3) and metrical data (i.e., revenue generated in US dollars)? I also heard ...
4
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1answer
117 views

How to interpret autocorrelation plot in MCMC

I am getting familiar with Bayesian statistics by reading the book Doing Bayesian Data Analysis, by John K. Kruschke also known as the "puppy book". In chapter 9, hierarchical models are introduced ...
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2answers
95 views

How to interpret PCA for data reduction?

I have 19 currency pairs like USD.AUD, USD.CAD, etc. Also 82 cross currency pairs like ...
1
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2answers
68 views

Controlling for age in multiple regression

I am a little stuck on what how to implement and interpret a multiple regression while controlling for age. I am interested in seeing if there is a positive relationship between depression and use ...
0
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0answers
32 views

Confusion about features selection for inference analysis with lm/glm

I need a bit of tutoring about grasping the true meaning of linear regression analysis. I'd like some help in understanding well the relationships between predictors and and the meaning of adding and ...
3
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1answer
101 views

Multilevel logistic regression with a random slope(s)

I would like to specify a two-level logistic regression model with random intercept and random slope. Dependent variable: hospitalization (1) or no-hospitalization (0). Independent variables: age, ...
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3answers
163 views

How can I interpret a plot of trimming percentage vs. trimmed mean?

For part of a homework question, I was asked to calculate the trimmed mean for a dataset by deleting the smallest and largest observation, and to interpret the result. The trimmed mean was lower than ...
2
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2answers
55 views

How to interpret a negative correlation of random effects in a mixed-effects model (in R)?

I've just gotten stuck in interpreting the output for a linear mixed effects model. My model includes Week as a time predictor, and scores on a depression scale as outcome. I have not worked with R ...
0
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0answers
26 views

mixed within-between ANOVA. I have a significant interaction but no significant main effect

I am currently trying to interpret the output of my mixed within-between ANOVA. I have 2 groups (experimental and control) and 2 time points (pre and post intervention).The dependent variable is a ...
0
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2answers
37 views

4-way Repeated Measures ANOVA

exchangers! I am struggling with my data analysis for an article I'm writing. I have to following experimental set-up. Instruction (A/B) Group (Alcohol Dependent / healthy Control) - between ...
2
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1answer
334 views

How to interpret ACF and PACF plots

I just want to check that I am interpreting the ACF and PACF plots correctly: The data corresponds to the errors generated between the actual data points and the estimates generated using an ...
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0answers
23 views

Why normalized feature weights for linear regression are bad feature importance predictors

I am trying to interpret a linear regression model. I assumed using absolute value of feature weight coefficients as indicators of influence of input variable onto output variable. However, it seems ...
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0answers
54 views

How are statistics on scientific papers inferred?

Referring to this question: How should be statistics on scientific papers read?, a kind user explained us how to read the following statement from the original research paper:. Increasing ...
3
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1answer
80 views

How should be statistics on scientific papers read?

Let's take this research published on Plos ONE Increasing carbohydrate intake was associated with increasing stroke risk (HR = 2.01, 95%CI = 1.04–3.86 highest vs. lowest quintile; p for trend ...
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0answers
32 views

How to interpret 3 main effects when an interaction exists for only two of the variables?

I've been searching for interpretation guidance regarding the below problem, but all the resources I've seen have been fully crossed (i.e., all variables included in the interaction term). Below is a ...
3
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1answer
72 views

Interpretation of odds in logistic regression

I have been reading the odds tutorial on UCLA's stats page. And I am trying to figure out if my interpretation of the results below is correct. Based upon looking at the data the results seem to hold ...
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1answer
45 views

Graph Interpretation

I would like to ask what could be the most possible interpretation of these two graphs attached. One of them depicts conditional probabilty p(Y|X) whereas the second one shows Y regressed on X. I ...
3
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0answers
47 views

Interpretation of log transformed predictor in negative binomial regression

I mainly want to make sure that I'm making the correct interpretation here. I built a negative binomial regression model predicting a count variable. There was evidence of overdispersion or I would ...
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0answers
5 views

how do i interpret the result for optdesign and the theory behind? [closed]

I am trying to write a project and I am using the package of DoseFinding. I want to figure out the output from the optDesign and interpret it. And what is the theory of TD. I tried to use ?optDesign ...