Questions tagged [survey-weights]
survey weights are used when data are collected according to a probability sampling design with unequal probabilities of selection and/or response
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Multilevel Regression and Poststratification (MRP) weighting in the opposite direction to Poststratification alone
We are using MRP to derive test norms for an IQ test (Culture Fair Test, CFT) based on the TwinLife data. We adjust for age, sex, education, and migration background. Although a probability sample, ...
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Combining Survey Weights
I have an annual survey that is somewhat complex in design. Sample frames are pulled quarterly and overlap. Each quarter's sample is removed from the subsequent quarter's frame. Samples are stratified ...
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Is bootstrapping inherently Frequentist? If so, how do we do a Bayesian non-parametric two-sample test?
I normally use frequentist statistics but I now want to use Bayesian statistics as I want to carry out a two-sample (randomised control trial) test that includes prior information. I have an existing ...
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Do replicate weight, when the are available, supersede all the design-based procedures and analysis?
If the agency that conducted a survey and releases micro data at the individual or household level also supplies replicate weights for that sample, do these weights completely supercede any need or ...
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Whether to specify ddf in confint.svyglm()
I have a main question about whether to specify ddf in confint.svyglm(). Using the two specifications below generate slightly ...
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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 ...
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Complex survey in python
I have been using the excellent R survey package for survival analysis of complex survey data. I have the necessity to migrate to python, and have found that the ...
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Sampling weights in Cox proportional hazards models
I'd like to use sampling weights in a Cox proportional hazards regression model to address selection due to different response probabilities. I'm calculating the weights as Inverse Probability of ...
CommunityBot
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Post stratification weights and the survey package in R
I have survey data that needs to be weighted, and to help me with this task, I have access to the full joint distributions of the variables I want to use. As I understand it, I should use the ...
CommunityBot
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Equivalence of svyglm and glm for simple random surveys
I have been exploring the use of the svyglm function in R's survey package to analyse surveys with both equal and unequal sampling probabilites.
For an unequal ...
CommunityBot
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Weighing Questions within a Survey
I work for a public child welfare agency. We have something called a level of care tool that categorizes children based on the amount of care they need. This helps us identify appropriate care options ...
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Post-hoc tests of interaction for a negative binomial regression with survey weights?
I ran a negative binomial regression with survey weights using the R package survey and the function svyglm() and observed a ...
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Use calibration weights to correct for unit non-response bias?
I have a question about how calibration weights can be used to sufficiently correct for unit non-response bias. Suppose the sample is s and the response set is r.
Calibration is applied to the ...
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R function for weighted two-sample t-test **with Welch-adjusted t statistic**?
I'm conducting a hypothesis test for the difference between two groups. The file dat1 contains all observations of measure for ...
CommunityBot
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How do I use something like predict.glm (in R) with a svyglm model and why don't my predictions match my data?
I'd like to estimate "cost" using some covariates with a weighted gamma model using svyglm. The weights sum to 1, and there are about 10,000 rows in the dataframe df total, with columns ...
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