query: how to interpret the contribution of a variable, when univariate vs multivariate analysis result differs (survival analysis)
positive_passages.docid: 25238
positive_passages.text: Significant predictors become non-significant in multiple logistic regression
negative_passages.docid: 132863
negative_passages.text: How do I interpret the results of a regression which involves interaction terms?
negative_passages.docid: 107157
negative_passages.text: Interpreting Regression Diagnostic Plots
negative_passages.docid: 65293
negative_passages.text: Dealing with Categorical variables in Multiple Regression
negative_passages.docid: 47719
negative_passages.text: Interpretation of R's output for binomial regression
negative_passages.docid: 85385
negative_passages.text: Why do we need multivariate regression (as opposed to a bunch of univariate regressions)?
negative_passages.docid: 10967
negative_passages.text: Why is sum of squared residuals non-increasing when adding explanatory variable?
negative_passages.docid: 35273
negative_passages.text: Explain the difference between multiple regression and multivariate regression, with minimal use of symbols/math
negative_passages.docid: 16925
negative_passages.text: Quick question on multivariate differentiation
negative_passages.docid: 104267
negative_passages.text: Violated non-proportional hazards - Cox regression model of time-dependent covariable
negative_passages.docid: 24298
negative_passages.text: Justification for low/high or tertiary splits in ANOVA
negative_passages.docid: 15545
negative_passages.text: How does the interpretation of main effects in a Two-Way ANOVA change depending on whether the interaction effect is significant?
negative_passages.docid: 148695
negative_passages.text: Comparing Growth Curve P-Values, Different Length Data Sets
negative_passages.docid: 12599
negative_passages.text: How to determine quantiles (isolines?) of a multivariate normal distribution
negative_passages.docid: 123720
negative_passages.text: Using multinom() and glm() functions in R to determine at what extent multiple factorial variables influence the outcome. Get different results
negative_passages.docid: 109405
negative_passages.text: Is a "split plot" ANOVA with two factors the same as two-way ANOVA with repeated measures in one factor?
negative_passages.docid: 69386
negative_passages.text: What's the relationship between initial eigenvalues and sums of squared loadings in factor analysis?