meningitis: meningitis- Meningococcal Disease Data with missing data in...
In glmfitmiss: Fitting GLMs with Missing Data in Both Responses and Covariates
meningitis R Documentation
meningitis- Meningococcal Disease Data with missing data in the response variable
Description
The dataset meningitis is from a brief outbreak of meningococcal disease at the University of Illinois, Urbana-Champaign campus in the years 1991 and 1992. The dataset is available in the LogXact software and also analyzed in Imrey et al. (1996). Maiti and Pradhan (2009) fitted a logistic regression using the model CaseCntrl ~ Numill + Numsleep + Smoke + Set + Reftime.
Usage
meningitis
Format
A data frame with several rows and columns representing various variables:
- CaseCntrl
Case control status
- Numnill
Number of illnesses
- Numsleep
Number of sleep disturbances
- Smoke
Smoking status
- Set
Set variable
- Reftime
Reference time
References
Cytel Inc (2010). LogXact 9 User Manual: Discrete Regression Analysis. Cambridge, Massachusetts: Cytel Inc.
Imrey, P. B., Jackson, L. A., Ludwinski, P. H., England, A. C. II, Fox, B. C., Isdale, L. B., Reeves, M. W., and Wenger, J. D. (1996). Outbreak of serogroup C meningococcal disease associated with campus bar patronage. American Journal of Epidemiology 143, 624–630.
Maiti, T., Pradhan, V. (2009). Bias reduction and a solution of separation of logistic regression with missing covariates. Biometrics, 65, 1262-1269.
Pradhan, V., Nychka, D. and Bandyopadhyay, S. (2024). Beyond the Odds: Fitting Logistic Regression with Missing Data in Small Samples (submitted).
Examples
# Examples using Firth (1993) type bias reduction. Complete case analysis or
# biascorrection=FALSE encounters separation
fit <- emBinRegMAR(CaseCntrl~Numnill+Numsleep+Smoke+Set+Reftime,
data=meningitis, biascorrectn=TRUE)
# display summary of the beta estimates of the model
fit$beta
# display summary of the alpha estimates of the model used
# for non-ignorability setting of the missing responses
fit$alpha
glmfitmiss documentation built on June 8, 2025, 1:59 p.m.
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| meningitis | R Documentation |
meningitis- Meningococcal Disease Data with missing data in the response variable
Description
The dataset meningitis is from a brief outbreak of meningococcal disease at the University of Illinois, Urbana-Champaign campus in the years 1991 and 1992. The dataset is available in the LogXact software and also analyzed in Imrey et al. (1996). Maiti and Pradhan (2009) fitted a logistic regression using the model CaseCntrl ~ Numill + Numsleep + Smoke + Set + Reftime.
Usage
meningitis
Format
A data frame with several rows and columns representing various variables:
- CaseCntrl
Case control status
- Numnill
Number of illnesses
- Numsleep
Number of sleep disturbances
- Smoke
Smoking status
- Set
Set variable
- Reftime
Reference time
References
Cytel Inc (2010). LogXact 9 User Manual: Discrete Regression Analysis. Cambridge, Massachusetts: Cytel Inc.
Imrey, P. B., Jackson, L. A., Ludwinski, P. H., England, A. C. II, Fox, B. C., Isdale, L. B., Reeves, M. W., and Wenger, J. D. (1996). Outbreak of serogroup C meningococcal disease associated with campus bar patronage. American Journal of Epidemiology 143, 624–630.
Maiti, T., Pradhan, V. (2009). Bias reduction and a solution of separation of logistic regression with missing covariates. Biometrics, 65, 1262-1269.
Pradhan, V., Nychka, D. and Bandyopadhyay, S. (2024). Beyond the Odds: Fitting Logistic Regression with Missing Data in Small Samples (submitted).
Examples
# Examples using Firth (1993) type bias reduction. Complete case analysis or
# biascorrection=FALSE encounters separation
fit <- emBinRegMAR(CaseCntrl~Numnill+Numsleep+Smoke+Set+Reftime,
data=meningitis, biascorrectn=TRUE)
# display summary of the beta estimates of the model
fit$beta
# display summary of the alpha estimates of the model used
# for non-ignorability setting of the missing responses
fit$alpha
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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