Questions tagged [poststratification]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
13 views

Adjustment for size of treatment difference

I routinely need to carry out tests for what may be best described as 'treatment recommendation protocols'. In the simplest case I have a model that 'predicts' optimal treatment based on some set of ...
0
votes
0answers
10 views

Multivariate multilevel regression and post-stratification

Multilevel regression and post stratification is (among other things) a way to deal with a non-representative survey sample. All examples I see in the literature either focus on a single survey ...
0
votes
0answers
24 views

How to weight samples in a subsample of a stratified sample?

Suppose I'm first interested in computing the percentage of people in a certain town with brown eyes. However, due to some constraints I end up with the following stratified sampling set up: $$N = ...
0
votes
0answers
13 views

Post-stratification: What are the possibilities if your data has too many factor levels to run?

The example below is a simplified version of my actual problem and data. I have a sample of n=2000 observations of individuals surveyed throughout a country in a certain year. So my actual data is not ...
0
votes
1answer
35 views

What goes wrong with post-stratification if a combination of values does not exist in the sample? How to fix it?

This question is both about the "survey" package in R and about the mechanics behind it. I'm more interested in the mechanical reasons why this package fails to create weights when ...
0
votes
0answers
12 views

Post-stratification based on population distribution of age and sex in the census using R

My data did not have any stratified sampling and is a simple random sample, so I used the following: data.svy.unweighted <- svydesign(ids=~1, data=dat) str(dat) tibble [2,924 × 101] (S3: tbl_df/...
0
votes
0answers
18 views

How many poststratification cells is too many in MRP?

I am analyzing an American national public opinion survey using multilevel regression with poststratification. My sample size is 660. I was considering poststratifying on race (4 categories, white, ...
0
votes
1answer
43 views

Creating stratified subsamples from a sample (repeated observations) - Post stratification

I have a random sample of individuals in a country (without knowing in which province they live). From this sample I want to make stratified random samples on the provincial level (let's assume there ...
0
votes
0answers
21 views

Using Multilevel Regression with Poststratification to Adjust for Known Differences Between Sample and Population

I’ve read about the use of multilevel regression with poststratification to adjust for known differences between a sample and a population (see here for example). However, MRP seems to really be used ...
0
votes
0answers
12 views

Error estimates for the average marginal effects of poststratified predictions in R using lme4?

Several sources describe how to poststratify model predictions by re-weighting stratified model predictions from a dataset you have to a dataset you wish to predict for. They all describe how to re-...