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Robert Long
Leeds, United Kingdom
https://www.linkedin.com/in/roblongleeds/
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Top Questions
69
votes
Warning: non-integer #successes in a binomial glm! (survey packages)
r
statistics
glm
asked Oct 18, 2012 at 10:57
stackoverflow.com
57
votes
Displaying a greater than or equal sign
r
ggplot2
plotmath
asked Nov 2, 2012 at 9:59
stackoverflow.com
42
votes
How to deal with spaces in column names?
r
ggplot2
asked Oct 5, 2012 at 10:26
stackoverflow.com
22
votes
increasing the line thickness of geom_smooth
r
ggplot2
asked Oct 5, 2012 at 12:52
stackoverflow.com
21
votes
Standard error of random effects in R (lme4) vs Stata (xtmixed)
r
mixed-model
lme4-nlme
stata
random-effects-model
asked Jan 22, 2013 at 14:49
stats.stackexchange.com
16
votes
Find distribution of consecutive zeros
r
asked Apr 11, 2018 at 10:14
stackoverflow.com
12
votes
"the leading minor of order 1 is not positive definite" error using 2l.norm in mice
r
missing-data
multiple-imputation
mice
asked Apr 12, 2013 at 11:59
stats.stackexchange.com
11
votes
Imputation of a censored variable
r
missing-data
data-imputation
censoring
epidemiology
asked Jun 28, 2012 at 21:26
stats.stackexchange.com
10
votes
Under what conditions does it make sense to fit random intercepts for an interaction, but not the main effects?
r
mixed-model
lme4-nlme
random-effects-model
asked Apr 12, 2019 at 11:39
stats.stackexchange.com
10
votes
Preventing a second legend
r
ggplot2
asked Oct 5, 2012 at 12:43
stackoverflow.com
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Top Answers
374
Crossed vs nested random effects: how do they differ and how are they specified correctly in lme4?
stats.stackexchange.com
184
What is an ablation study? And is there a systematic way to perform it?
stats.stackexchange.com
89
What is "restricted maximum likelihood" and when should it be used?
stats.stackexchange.com
83
How do DAGs help to reduce bias in causal inference?
stats.stackexchange.com
54
Dealing with singular fit in mixed models
stats.stackexchange.com
42
Sample size calculation for mixed models
stats.stackexchange.com
36
How do the number of imputations & the maximum iterations affect accuracy in multiple imputation?
stats.stackexchange.com
34
Why are Chinese mountains scaled by steps? (instead of winding paths)
travel.stackexchange.com
31
Is this causation?
stats.stackexchange.com
31
Minimum sample size per cluster in a random effect model
stats.stackexchange.com
26
What is the best programmatic way for determining whether two variables are linearly or non-linearly or not even related
stats.stackexchange.com
26
Overfitting in Linear Regression
datascience.stackexchange.com
25
Why is this linear mixed model singular?
stats.stackexchange.com
24
Propensity score matching after multiple imputation
stats.stackexchange.com
21
What are the worst (commonly adopted) ideas/principles in statistics?
stats.stackexchange.com
21
Multiple Membership vs Crossed Random Effects
stats.stackexchange.com
20
Variable selection in logistic regression model
stats.stackexchange.com
19
How to simplify a singular random structure when reported correlations are not near +1/-1
stats.stackexchange.com
18
Use of ICC in multilevel modelling
stats.stackexchange.com
17
Should "City" be a fixed or a random effect variable?
stats.stackexchange.com
17
Can you please explain Simpson's paradox with equations, instead of contingency tables?
stats.stackexchange.com
16
should I use na.omit or na.exclude in a linear model (in R)?
stats.stackexchange.com
16
Calculating $R^2$ in mixed models using Nakagawa & Schielzeth's (2013) R2glmm method
stats.stackexchange.com
15
Is there a mathematical proof for change being correlated with baseline value
stats.stackexchange.com
15
Training a neural network on chess data
stats.stackexchange.com
15
glmer vs lmer, what is best for a binomial outcome?
stats.stackexchange.com
15
Can we remove significant variables in a regression?
stats.stackexchange.com
15
"incorrect number of probabilities" error using sample()
stackoverflow.com
14
Why not always use generalized estimating equations (GEE) instead of linear mixed models?
stats.stackexchange.com
14
Beyond AR(1) as a covariance structure for mixed models with repeated measures
stats.stackexchange.com
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