R: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets

# Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets

## Documentation for package ‘psfmi’ version 1.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

anderson | Data from a placebo-controlled RCT with leukemia patients
aortadis | Dataset of patients with a aortadissection
bmd | Data of a non-experimental study in more than 300 elderly women
bw_single | Predictor selection function for backward selection of Linear and Logistic regression models.
chlrform | Data about concentration of ß2-microglobuline in urine as indicator for possible damage to the kidney
chol_long | Long dataset of persons from the The Amsterdam Growth and Health Longitudinal Study (AGHLS)
chol_wide | Wide dataset of persons from the The Amsterdam Growth and Health Longitudinal Study (AGHLS)
coxph_bw | Predictor selection function for backward selection of Cox regression models in single complete dataset.
coxph_fw | Predictor selection function for forward selection of Cox regression models in single complete dataset.
day2_dataset4_mi | Dataset of low back pain patients with missing values
glm_bw | Function for backward selection of Linear and Logistic regression models.
glm_fw | Function for forward selection of Linear and Logistic regression models.
hipstudy | Dataset of elderly patients with a hip fracture
hipstudy_external | External Dataset of elderly patients with a hip fracture
hoorn_basic | Dataset of the Hoorn Study
hoslem_test | Calculates the Hosmer and Lemeshow goodness of fit test.
infarct | Data of a patient-control study regarding the relationship between MI and smoking
ipdna_md | Example dataset for the psfmi_mm function
km_estimates | Kaplan-Meier risk estimates for Net Reclassification Index analysis
km_fit | Kaplan-Meier (KM) estimate at specific time point
lbpmicox | Example dataset for psfmi_coxr function
lbpmilr | Example dataset for psfmi_lr function
lbpmilr_dev | Example dataset for mivalext_lr function
lbpmi_extval | Example dataset of Low Back Pain Patients for external validation
lbp_orig | Example dataset for psfmi_perform function, method boot_MI
lungvolume | Data of the development of lung and heartvolume of unborn babies
mammaca | Data of a study among women with breast cancer
men | Data of 613 patients with meningitis
mivalext_lr | External Validation of logistic prediction models in multiply imputed datasets
nri_cox | Net Reclassification Index for Cox Regression Models
nri_est | Calculation of Net Reclassification Index measures
pool_auc | Calculates the pooled C-statistic (Area Under the ROC Curve) across Multiply Imputed datasets
pool_compare_models | Compare the fit and performance of prediction models across Multipy Imputed data
pool_D2 | Combines the Chi Square statistics across Multiply Imputed datasets
pool_D4 | Pools the Likelihood Ratio tests across Multiply Imputed datasets ( method D4)
pool_intadj | Provides pooled adjusted intercept after shrinkage of pooled coefficients in multiply imputed datasets
pool_performance | Pooling performance measures across multiply imputed datasets
pool_reclassification | Function to pool NRI measures over Multiply Imputed datasets
pool_RR | Function to combine estimates by using Rubin's Rules
psfmi_coxr | Pooling and Predictor selection function for backward or forward selection of Cox regression models across multiply imputed data.
psfmi_lm | Pooling and Predictor selection function for backward or forward selection of Linear regression models across multiply imputed data.
psfmi_lr | Pooling and Predictor selection function for backward or forward selection of Logistic regression models across multiply imputed data.
psfmi_mm | Pooling and Predictor selection function for multilevel models in multiply imputed datasets
psfmi_mm_multiparm | Multiparameter pooling methods called by psfmi_mm
psfmi_perform | Internal validation and performance of logistic prediction models across Multiply Imputed datasets
psfmi_stab | Function to evaluate bootstrap predictor and model stability in multiply imputed datasets.
psfmi_validate | Internal validation and performance of logistic prediction models across Multiply Imputed datasets
risk_coxph | Risk calculation at specific time point for Cox model
rsq_nagel | Nagelkerke's R-square calculation for logistic regression / glm models
rsq_surv | R-square calculation for Cox regression models
sbp_age | Dataset with blood pressure measurements
sbp_qas | Dataset with blood pressure measurements
scaled_brier | Calculates the scaled Brier score
smoking | Survival data about smoking
stab_single | Function to evaluate bootstrap predictor and model stability.
weight | Dataset of persons from the The Amsterdam Growth and Health Longitudinal Study (AGHLS)