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2 votes
1 answer
69 views

writing a simple linear (and logistic) regression equation that incorporates survey weights

I am running a basic linear (and then logistic) regression that incorporates basic survey weights. I would like to specify the general regression equation with the survey weights for a manuscript. But ...
May Smith's user avatar
0 votes
0 answers
93 views

Weighted logistic regression for complex survey design

I want to run a logistic regression on my dataset in R. I want to test the probability of which direction a fish is facing depending on my variables. I am considering using a weighted logistic ...
Dominique Turney's user avatar
1 vote
2 answers
1k views

Reporting average marginal effects of a survey-weighted logit model with R

I'm working with survey data of a complex sample to estimate binary outcome models. I am trying to report average marginal effects of a logit model, which I estimated through ...
Daniel Sánchez's user avatar
1 vote
0 answers
651 views

How to compute weights using logistic regression

I'm not interested in creating a logistic regression model which is weighted, I'm interested in using a logistic regression model to compute the weights of a survey. It seems that, given the weights ...
baxx's user avatar
  • 946
2 votes
1 answer
98 views

Matching biometrics with NHANES

Good morning everyone, I'm trying to figure out how to do some matching with NHANES datasets. Basically, I have a separate population of participants in a weight loss program, for which we do not ...
James's user avatar
  • 33
3 votes
1 answer
1k views

Why do R and SPSS give different SEs (complex survey with weights)?

My colleague and I are working with complex survey data (i.e., with weights). He is doing the analysis in SPSS, and I am trying to double-check his work, but I use R. We have a binary explanatory ...
Travis's user avatar
  • 33
3 votes
2 answers
382 views

How important are the survey weights?

I run logit model with a cross-sectional dataset of Indian individuals. I am using descriptive statistics of the same dataset to justify and interpret the estimations of logit model. However, I must ...
Arun Bairwa's user avatar
3 votes
2 answers
996 views

Logit/Probit: algorithm did not converge and sampling weights

I am running a logit regression in R. I get a warning which signals the missing algorithm convergence. My experience suggests that the problem may be due to the number of dummies in the model and/or ...
Caserio's user avatar
  • 406
1 vote
1 answer
1k views

Run fixed effect and logit regression on a national survey that need to be "weighted" in R?

I am a beginner user of R. I am using a national survey to test what variables influence the participation in complementary pensions (the participation in complementary pension is voluntary in my ...
Laura's user avatar
  • 11
1 vote
1 answer
2k views

Exogenous weighting: multinomial logit models

Can the utilities or choice probabilities be weighted by population weights? Or must the weighting actually occur at the observational/individual level? I assume it must occur at the observational ...
RTrain3K's user avatar
  • 284
6 votes
1 answer
2k views

Are sampling weights necessary in logistic regression?

When should I use weights when performing a logistic regression? The weights I'm referring to are sampling weights from a survey? Or should I just use the unweighted data?
user22119's user avatar
  • 619
2 votes
1 answer
2k views

Survey Weighted Random Effects Logit Model in R

I am trying to predict a binary outcome with a model that includes a random effect using survey data. I've included a description of the sampling design below, so feel free to comment on my survey ...
mike's user avatar
  • 867