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Weighing Data Issue

I am looking at e-cig prevalence within a city. I used surveys to collect data from residents, and I have a query around weighing data. I have made the assumption, due to over and underrepresentation ...
Aidan's user avatar
  • 1
0 votes
0 answers
55 views

Should we use survey::svyglm() to compute correct standard errors with WeightThem?

I need to use multiply imputed datasets and weights before using linear models (linear, logistic and negative binomial). I have 2 sources of informations that point to different directions to compute ...
Charly Marie's user avatar
0 votes
0 answers
12 views

Longitudinal sample with varying levels of non-response

I'm using answers to a specific question from the General Social Survey ("do you feel rushed"?) to compare statistics over multiple years. The answers are "Always" "Sometimes&...
ryan_coogler's user avatar
0 votes
0 answers
128 views

How can I reweight survey data

I have survey data from a complex survey with stratification, weights and clustering. I'm using the survey package in R to run regressions: ...
dash2's user avatar
  • 246
1 vote
1 answer
615 views

how to understand the weights in PSM?

When using propensity score matching or weighting, a column of weights is generated that is used to estimate the effect of interest. According to a blog I read, there are three types of weights ...
Plumber's user avatar
  • 33
2 votes
0 answers
30 views

Where does weight factors come into play with real data (in R)?

I do understand the IMHO simple concept using weights to fit a sample to another (real) population. Calculating the weight factors is not hard. Regarding to my MWE there maybe is a more elegant R way ...
buhtz's user avatar
  • 282
0 votes
1 answer
341 views

Calculate risk ratio in weighted population

I have a propensity score weighted population (using IPTW) and I want to compute risk ratios on my weighted population. For this, I am using a weighted Poisson regression. Let's suppose that "...
user19745561's user avatar
2 votes
0 answers
41 views

Weighting pharmacovigilance data in a meta-regression

I would like to run a meta-regression in which the independent variable is composed of weighted reported odds ratios (ie, the number of events for a particular medication side effect divided by total ...
M BG's user avatar
  • 61
3 votes
0 answers
103 views

How do I calculate a finite-population correction for a weighted sample?

I have a weighted sample from a population. These are probability weights (as samples are taken with unequal probability). What's the variance in the estimated total? All samples are exchangeable (...
Closed Limelike Curves's user avatar
1 vote
1 answer
415 views

Problem with weigts in survey analysis of GSS cross-sectional data

I have a dataset made from https://gss.norc.org/get-the-data There is a description from the codebook how to use weights: ...
myoth myoth's user avatar
1 vote
0 answers
133 views

What are some limitations of survey raking weights?

The title of this question says it all. I know that all methods have limitations, and while I know some of the strengths of raking weights (e.g., often, only marginal distributions for auxiliary ...
Andy's user avatar
  • 11
7 votes
2 answers
2k views

How to estimate the (approximate) variance of the weighted mean?

Background: weighted mean In the context of survey statistics it so happens that a sample of respondents from a survey are fit some weights to adjust their answers to the general population. These ...
Tal Galili's user avatar
  • 21.8k
2 votes
0 answers
78 views

Raking weights - How can they possibly recover the joint distribution?

So I've recently encountered raking weights as a way to obtain weights for population level estimates: https://www.pewresearch.org/methods/2018/01/26/how-different-weighting-methods-work/. My question ...
Andy's user avatar
  • 21
1 vote
0 answers
14 views

Impact of recoding variables on sampling weights

I'm working on a dataset with longitudinal survey data that includes final post-stratification weights. I want to recode some of the demographic variables, such as race and income, to combine several ...
statisticsing's user avatar
1 vote
0 answers
42 views

Are probability weights "relative", i.e. can they be rescaled and work in the same way?

I am using survey data from different countries, and I pool them together for part of the analysis. Now, weights puzzle me for two reasons: 1) some of them are below 0 (i.e. the probability of being ...
Maria's user avatar
  • 11

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