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missDeaths (version 2.8)

Simulating and Analyzing Time to Event Data in the Presence of Population Mortality

Description

Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence. Also includes a powerful set of object oriented survival data simulation functions.

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Version

Install

install.packages('missDeaths')

Monthly Downloads

206

Version

2.8

License

GPL (>= 2)

Maintainer

Tomaz Stupnik

Last Published

September 23rd, 2024

Functions in missDeaths (2.8)

+,md.simdata,md.simdataobject-method

Nonparametric analysis of disease recurrence with missing information of possible deaths

Initializes the missDeaths population table cache

Initializes the missDeaths population table cache

md.simdataobject-class

md.simdataobject is an abstract class that is inherited by the md.simdata covariate generating classes such as md.binom, md.norm etc.

Simulating and analyzing time to event data in the presence of population mortality

A simulated dataset with non-recorded deaths

Censoring simulated survival data

Prepare compatible demographic information

Calculates individual expected survival beyond the observation time

Correctly impute missing information of possible deaths using population mortality

Fit a proportional hazards regression model over disease recurrence data with missing information of possible deaths

Initializes the missDeaths population table cache

Dumps the missDeaths population table cache