Data and Statistical Analyses after Multiple Imputation
Calculates the Brown-Forsythe test.
Function to check input data for function glm_mi
Calculates the c-index and standard error
Function to clean variables
Calculates the correlation coefficient
Fisher z transformation of correlation coefficient
Turns a data frame with multiply imputed data into an object of class ...
Converts F-values into Chi Square values
Fisher z back transformation of correlation coefficient
Backward selection of Linear regression models across multiply imputed...
Forward selection of Linear regression models across multiply imputed ...
Backward selection of Logistic regression models in multiply imputed d...
Forward selection of Logistic regression models in multiply imputed da...
Direct Pooling and model selection of Linear and Logistic regression m...
Takes the inverse of a logit transformed value
Takes the inverse of logit transformed parameters and calculates the c...
Calculates the Levene's test
Turns a list object with multiply imputed datasets into an object of c...
Logit transformation of parameter estimates
Turns a 'mice::mids' object into an object of class 'milist' to be fur...
Calculates the odds ratio (OR) and standard error.
Calculates the pooled Brown-Forsythe test.
Calculates the pooled C-index and Confidence intervals
Calculates the pooled correlation coefficient and Confidence intervals
Combines the Chi Square statistics across Multiply Imputed datasets
Pools the Likelihood Ratio tests across Multiply Imputed datasets ( me...
Pools and selects Linear and Logistic regression models across multipl...
Calculates the pooled Levene test.
Calculates the pooled odds ratio (OR) and related confidence interval.
Calculates the pooled proportion and confidence intervals using an app...
Calculates the pooled proportion and standard error according to Wald ...
Calculates the pooled single proportion confidence intervals according...
Calculates the pooled difference between proportions and standard erro...
Calculates the pooled difference between proportions and confidence in...
Calculates the pooled difference between proportions and standard erro...
Calculates the pooled risk ratio (RR) and related confidence interval.
Rubin's Rules for scalar estimates
Calculates the pooled t-test and Confidence intervals
Calculates the posterior beta components for a single proportion
Calculates a single proportion and related standard error according to...
Calculates the difference between proportions and standard error accor...
Calculates the difference between proportions and standard error accor...
Calculates the risk ratio (RR) and standard error.
Calculates the one, two and paired sample t-test
Evaluate an Expression across a list of multiply imputed datasets
Statistical Analyses and Pooling after Multiple Imputation. A large variety of repeated statistical analysis can be performed and finally pooled. Statistical analysis that are available are, among others, Levene's test, Odds and Risk Ratios, One sample proportions, difference between proportions and linear and logistic regression models. Functions can also be used in combination with the Pipe operator. More and more statistical analyses and pooling functions will be added over time. Heymans (2007) <doi:10.1186/1471-2288-7-33>. Eekhout (2017) <doi:10.1186/s12874-017-0404-7>. Wiel (2009) <doi:10.1093/biostatistics/kxp011>. Marshall (2009) <doi:10.1186/1471-2288-9-57>. Sidi (2021) <doi:10.1080/00031305.2021.1898468>. Lott (2018) <doi:10.1080/00031305.2018.1473796>. Grund (2021) <doi:10.31234/osf.io/d459g>.