2024

Collinearity four more times 2024/11/21

Brute force and ignorance 2024/11/14

Two approaches to approximating sums of chisquareds 2024/09/13

National Land Transport Plan graphs 2024/09/03

Ihaka Lectures 2024/08/29

The missing test in survey regression models 2024/08/27

Another way to not sample without replacement 2024/08/26

A Bayesian t-test, again 2024/07/16

Stage vs phase 2024/06/28

Estimator vs estimate 2024/06/27

Automatic transformation of standard errors? 2024/06/15

S3 method dispatch on other arguments 2024/06/04

Crossvalidation in complex survey data 2024/05/21

Choosing frame weights in dual-frame surveys 2024/05/10

Another update on non-transitive dice 2024/04/29

Multiple frame sampling 2024/04/26

Importance weights 2024/04/19

Assumptions 2024/04/14

Quantitative graphics? 2024/04/05

Symbolically nested 2024/04/01

Factors as factors 2024/03/22

Small-area estimates by smoothing direct estimates 2024/03/09

New in the survey package 2024/03/08

Ordinal outcomes: the LOCT DOOR 2024/01/25

Recurrent events: increased susceptibility or latent risk? 2024/01/12

Asymptotics for linear mixed models 2024/01/09

2023

Why do the Rao-Scott tests have good size? 2023/12/18

How good is the leading eigenvalue approximation to quadratic forms? 2023/12/14

Why not REML? 2023/12/12

Sparse correlation and the Central Limit Theorem 2023/12/04

svy2lme: the preprint 2023/11/24

Linear mixed models with pairwise likelihood 2023/11/21

Benchmark Archaeology 2023/08/24

Quoting and requoting 2023/08/04

Blank-cheque inheritance and statistical methods objects 2023/06/07

Pairwise likelihood and cluster sizes 2023/05/05

New in the survey package 2023/05/04

Ranks in survey data 2023/04/18

Class imbalance: bug or feature? 2023/03/27

Which infinite sequence? 2023/03/20

The fourth-root thing 2023/03/07

Determinant of correlation matrix 2023/03/06

Sandwiches and aggregation 2023/02/21

When is population mean rank a thing? 2023/02/10

Checking proportionality of odds 2023/02/09

Linkage and multiple imputation 2023/01/06

2022

Pairwise and joint independence 2022/12/09

A short note on effect sizes 2022/12/06

The sandwich and the t-test 2022/12/01

Bus pruning 2022/11/05

Improving a graph 2022/11/03

Code archaeology: polynomial distributed lags 2022/10/14

A plug-in uniform law of large numbers 2022/09/28

Looking back 2022/09/15

Tracking down a Real Data Set(tm) 2022/08/14

ASCII and beyond — will it play in Peoria? 2022/07/26

Tidying rimu 2022/07/23

Combining a survey and other data 2022/07/15

Self-promotion: an actual multiwave two-phase design 2022/07/06

Getting strings into code in base R 2022/06/23

Design |> Data: Ihaka Lectures 2022 2022/06/21

Tables with zeroes 2022/04/17

stringsAsFactors=do_you_feel_lucky 2022/03/31

Nine and sixty ways 2022/02/20

Comparing tests for generalised linear models in survey data 2022/01/28

Optimal design for raking/AIPW estimation 2022/01/06

Per capita, in mice 2022/01/02

2021

Top posts from 2021 2021/12/31

Is it binary? 2021/11/10

Crossed clustering and parallel invention 2021/09/18

Score tests: surprisingly annoying 2021/09/10

Ordinal data, metadata, and models 2021/09/03

Pictures of code are not code 2021/08/21

Wellington buses 2021/08/13

The New Oil 2021/08/07

Maintenance of Headway 2021/08/04

Subsets and subpopulations in survey inference 2021/07/22

What's new in the survey package 2021/07/20

Not all strictly monotone functions are additive 2021/07/16

Housing unaffordability hexmaps 2021/06/11

Generalisability, prediction, and causation 2021/05/02

A modest proposal for matrix multiplication 2021/04/01

Phobos and Deimos and public speaking 2021/03/19

Two-phase sampling notation 2021/02/15

Co-linearity 2021/02/11

They're back! 2021/02/02

2020

Top posts in 2020 2020/12/31

Emma Lathen e-books 2020/12/31

Planning a new data management course 2020/12/18

Neyman Allocation, only exact 2020/11/05

You will probably not be eaten by a grue 2020/10/30

When the sky didn't fall 2020/09/26

MOAR survey regression models 2020/09/24

A Bayesian t-test? 2020/09/17

Weights in statistics 2020/08/04

Sourdough happens 2020/06/23

New in the survey package 2020/04/03

Changing strata mid-stream 2020/03/27

Mapping NZ cases of COVID-19 2020/03/26

Not cross buns 2020/03/23

Quadratic trend tests in survey package 2020/02/28

The Ihaka Lectures, Episode 4 2020/02/19

Survey package news 2020/01/22

Multifactor interventions and interactions 2020/01/09

2019

Computer says no 2019/12/30

What is 'Data Science Practice'? 2019/12/25

How many giraffes? 2019/12/01

Hexmaps for NZ District Health Boards 2019/11/07

Some things I don’t like about the Oxford-Munich Code of Conduct 2019/10/01

How to review a book 2019/09/13

Why isn't rimu tidy? 2019/09/10

(What’s up with the brackets?) 2019/09/10

A package for multiple-response data 2019/09/05

Adding new functions to the survey package 2019/07/16

Denominator degrees of freedom in svyglm 2019/06/26

Wald, score, LRT: the picture 2019/06/20

Analysing the mouse microbiome autism data 2019/06/16

Confidence intervals: not a very strong property 2019/06/11

Design degrees of freedom: brief note 2019/06/08

Mean People Tweet 2019/05/24

The Reeferendum 2019/05/07

Local asymptotic minimax, and nearly-true models 2019/04/30

Survey package update 2019/04/28

That’s for remembrance 2019/04/24

Handling ‘plausible values’ in surveys 2019/04/21

Progress on linear mixed models for surveys 2019/04/19

Hypergraph network meta-analysis 2019/03/26

The school climate strike 2019/03/12

Normal horizontiles 2019/03/04

Displaying bus punctuality 2019/03/01

Absolutely no warranty? 2019/02/18

What have I got against the Shapiro-Wilk test? 2019/02/09

How do you tell what packages to trust? 2019/02/04

Recognising when you don’t know 2019/02/01

Two quick survey items 2019/01/26

Another way to see why mixed models in survey data are hard: 2019/01/18

The Ihaka Lectures 3: Rise of the Machine Learners 2019/01/11

Bayesian Surprise — the Shiny app 2019/01/04

2018

What are packages for? 2018/12/17

svycontrast 2018/12/10

Finding principal components without even looking? 2018/11/26

Come work with us 2018/11/04

Progress on svy2lme 2018/10/19

Survey package update 2018/10/12

The Kiwi PRNG 2018/10/04

How to write a racist AI in R without really trying 2018/09/27

Journalism and cyber-bullying 2018/09/11

What can data science add to statistics education? 2018/08/28

ISCB/ASC talk 2018/08/26

Leaflet and buses 2018/08/14

Testing probability distribution generators 2018/08/01

Quoting and macros in R 2018/07/30

e-bike: the reboot 2018/07/17

Interlingual 2018/07/11

Spell my name with a ‘v' 2018/06/24

Survey analysis in SQL 2018/06/09

Statistical software matters 2018/06/09

New blog home 2018/06/05

Graduation 2018/05/14

svylme 2018/04/01

Small p hacking 2018/03/23

Chebyshev’s inequality and `UCL’ 2018/03/15

Why pairwise likelihood? 2018/03/13

Faster generalised linear models in largeish data 2018/03/05

Useful debugging trick 2018/01/31

The Ihaka Lectures 2018/01/22

More tests for survey data 2018/01/22

As far as it goes 2018/01/20

breakInNamespace 2018/01/15

2017

e-bike-onomics 2017/12/30

Statistics on pairs 2017/12/26

How to add chi-squareds 2017/12/06

Secret Santa collisions 2017/11/25

When all U-shaped curves look the same to you 2017/11/23

Means of maximums 2017/11/08

Haere mai, statistical computing folks 2017/09/26

A genome analogy 2017/09/25

Bayesian surprise 2017/09/22

Visual design of diagnostics 2017/09/06

Causes and counterfactuals 2017/08/23

Wilcoxon and polymath: another update 2017/08/19

The bus bot 2017/08/10

Tail bounds under sparse correlation 2017/07/26

Psychoactive substances and Peter Dunne 2017/07/26

Information and control 2017/07/25

Probabilities not bounded away from zero 2017/07/09

Two-day course: survival analysis 2017/07/05

A possibly unsurprising bootstrap observation 2017/06/11

Stupid word games 2017/06/05

Pipeable survey analysis in R 2017/05/29

Peer review and community endorsement 2017/05/22

A ‘polymath’ project on the Wilcoxon test? 2017/05/12

Value of a degree 2017/05/01

Prerequisites 2017/03/29

Come work with us 2017/03/28

Why I like the Convolution Theorem 2017/03/27

Flat Earthers 2017/03/27

Case-control efficiency 2017/03/18

Order and quotient topologies 2017/03/14

“Meritocracy” and “public good” 2017/03/11

Hearing things 2017/03/05

The Ihaka Lectures 2017/02/02

When the bootstrap doesn’t work 2017/02/01

Te Reo Māori in schools 2017/01/31

Case-control sampling and pseudo-Rsquareds 2017/01/27

A bus-watching bot 2017/01/17

Mature and premature optimisation 2017/01/12

Fixing an infelicity in ‘leaps’ 2017/01/09

Learning the Monty Hall problem 2017/01/03

2016

The ‘iris’ data 2016/12/30

Making survey statistics boring and inefficient 2016/11/23

Brief quake summary for overseas people 2016/11/14

Changes in turnout and preference 2016/11/10

Cuts to ‘Growing Up in New Zealand’ 2016/10/18

Terms to eschew 2016/10/12

Large quadratic forms 2016/09/27

The hard problem of AI and other stories 2016/09/22

Come work with us 2016/09/07

On permuting all the things 2016/09/06

The lithium-powered space bike 2016/09/04

“The” multiple comparisons problem 2016/08/27

Like a crossword 2016/08/20

Simulations and modes of convergence 2016/08/14

Etymology 2016/08/02

A modest proposal: Lazy Ambiguous Single Transferable Vote 2016/07/29

One scoRe years 2016/07/28

How do we prove the Central Limit Theorem? 2016/07/04

Computing the (simplest) sandwich estimator incrementally 2016/06/04

Are there any news? 2016/06/03

Size matters 2016/04/14

Sufficiently advanced technology 2016/04/10

The Great Kiwi Cherry Ripe Scandal 2016/03/29

Mostly dead 2016/03/28

Artistic verisimilitude 2016/03/24

The conservative Bonferroni correction 2016/03/20

Trace estimators and impact factors 2016/03/15

A gene for celibacy? 2016/03/13

Truthy and Sciency 2016/03/02

Coding linear splines 2016/02/29

Cheap tricks 2016/02/28

Two cheers for crowdfunding 2016/02/26

No-one’s forcing you to read the Herald 2016/02/07

Stochastic SVD 2016/02/05

Is it that time of day? 2016/01/20

What does ‘design-consistent’ even mean? 2016/01/13

Another view of the ‘nearly true’ model 2016/01/13

2015

Circumspice 2015/12/31

Superfood sourcing 2015/12/30

The Muntab Question Strikes Back 2015/12/24

Potential energy and kinetic energy 2015/12/22

Case-control estimation is more complicated than you think 2015/12/20

The Muntab Question 2015/12/14

A simple probability problem 2015/12/14

Serious tongue-twister 2015/11/27

Poetry visualisation 2015/11/14

Should SPRINT have stopped? 2015/11/10

Prefiltering very large numbers of tests 2015/10/19

Double robustness 2015/10/18

Convergent evolution and NZ Bird of the Year 2015/10/05

NZ Flag Referendum pseudorandom numbers 2015/09/22

Oranges and lemons 2015/09/21

Good reasons for assuming a spherical cow 2015/09/14

(high-dimensional) Space is Big. 2015/09/14

Net Reclassification Index: surprisingly weird. 2015/08/29

Colour names from XKCD in R 2015/08/20

A conservation tragedy 2015/08/20

Fox fails statistics; does NYT? 2015/08/06

JSM2015: notes on Seattle from an ex-resident 2015/08/05

Pianos, heaps, and ethics of randomisation 2015/08/01

Te Wiki o Te Reo Māori 2015/07/27

stringsAsFactors = <sigh> 2015/07/25

Pi day 2015/07/02

A much-needed gap 2015/06/20

Countermatching 2015/06/03

Zero-inflated Poisson from complex samples 2015/05/26

Call me, Ishmael 2015/05/20

Superefficiency 2015/05/12

Precise answers, but not necessarily to the right question 2015/05/04

What’s the right proof of the Continuous Mapping Theorem? 2015/05/03

Eppur si muove 2015/04/02

Pharmacy ethics 2015/03/29

Paper helicopters at a science fair 2015/03/28

What does measurability mean? 2015/03/07

How hard did you look: equivalence and non-inferiority 2015/02/27

Clinically proven ingredients 2015/02/26

Science and statistical inference 2015/02/17

Assumptions and testing 2015/01/15

A transitive test is a test for a univariate parameter 2015/01/14

Tomato, tomato 2015/01/12

New header picture 2015/01/12

Different questions can have different answers 2015/01/11

Variation explained and log transformation 2015/01/03

2014

How not to treat Ebola 2014/12/23

Citations: credit or blame 2014/12/14

What science should everyone know? 2014/12/08

It depends on what you mean by 'cost' 2014/11/30

This is just to say 2014/11/06

A people set apart 2014/11/05

Semiparametric efficiency and nearly-true models 2014/10/25

Miasma and Contagion 2014/10/25

Broman's Socks and the Nature of Scientific Reporting 2014/10/20

Is it good or bad when confounding adjustment makes no difference? 2014/09/24

Rhetorical sensitivity analysis 2014/08/29

On dialect 2014/08/29

O necessary sinpi 2014/08/27

Taking meta-analysis heterogeneity seriously 2014/08/24

Survey package update 2014/08/15

Feynman and the Suck Fairy 2014/07/12

Herd Immunity simulations 2014/06/01

Monotonicity and smoothness 2014/05/22

Anchoring bias 2014/05/18

Randomisation without consent 2014/05/14

Einstein, Wikiquote, and fact checking 2014/03/14

My likelihood depends on your frequency properties 2014/03/04

Chemical nerdview 2014/02/25

This is a wug. Now you have two of them. 2014/02/09

2013

At risk of vanishing 2013/12/14

Moving the goalposts? 2013/11/15

From labhacks: the $25 scrunchable scientific poster 2013/11/04

A diversity of gifts, but the same spirit 2013/10/30

Interaction: 'real' and statistical 2013/10/27

Barren proxies 2013/10/20

Google completions and sexism 2013/10/18

Do you know where it's been? 2013/10/10

Today we have shaming of prats 2013/10/06

Rock, paper, scissors, Wilcoxon test 2013/10/06

Auckland's top news story 2013/10/03

Statins and the causal Markov property 2013/09/23

PBRF consultation response consultation 2013/09/22

An absolutely minimal way to increase invited speaker diversity 2013/09/13

What I said on StatsChat only shorter and with more swearing 2013/09/04

On the persistence of variation in horn size among Soay sheep 2013/08/23

A layperson's view of a science communication problem 2013/08/13

SPEED sessions at JSM 2013 2013/08/09

In defense of theory 2013/08/08

Some failure modes of statistics research talks 2013/08/04

Welfare as an addictive drug 2013/07/15

Graphs and counterfactuals 2013/07/15

Sparse linear systems and calibration of weights 2013/07/08

Big data linear models 2013/07/08

Problems with faithfulness and the causal Markov property (II) 2013/07/06

Problems with faithfulness and the causal Markov property (I) 2013/07/02

Upcoming talks and stuff 2013/06/30

Two simple notes on error in regression models 2013/06/28

When is Bayesian introductory statistics better? 2013/06/27

My Setup 2013/06/08

Talks in the near future 2013/06/07

Hello World 2013/06/07

1520

Lorem Ipsum 1520/01/01