Sample Size and Simulation for Negative Binomial Outcomes

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Documentation for package ‘gsDesignNB’ version 0.2.6

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

Help Pages

blinded_ssr	Blinded sample size re-estimation for recurrent events
calculate_blinded_info	Calculate blinded statistical information
check_gs_bound	Check group sequential bounds
compute_info_at_time	Compute statistical information at analysis time
cut_completers	Cut data for completers analysis
cut_data_by_date	Cut simulated trial data at a calendar date
cut_data_by_date.default	Cut simulated trial data at a calendar date
cut_data_by_date.nb_sim_data	Cut simulated trial data at a calendar date
cut_data_by_date.nb_sim_seasonal	Cut simulated trial data at a calendar date
cut_date_for_completers	Find calendar date for target completer count
estimate_nb_mom	Method of Moments Estimation for Negative Binomial Parameters
get_analysis_date	Find calendar date for target event count
get_cut_date	Determine analysis date based on criteria
gsNBCalendar	Group sequential design for negative binomial outcomes
mutze_test	Wald test for treatment effect using negative binomial model (Mutze et al.)
nb_sim	Simulate recurrent events with fixed follow-up
nb_sim_seasonal	Simulate recurrent events with seasonal rates
print.gsNBsummary	Print method for gsNBsummary objects
print.mutze_test	Wald test for treatment effect using negative binomial model (Mutze et al.)
print.sample_size_nbinom_result	Print method for sample_size_nbinom_result objects
print.sample_size_nbinom_summary	Print method for sample_size_nbinom_summary objects
sample_size_nbinom	Sample size calculation for negative binomial distribution
sim_gs_nbinom	Simulate group sequential clinical trial for negative binomial outcomes
summarize_gs_sim	Summarize group sequential simulation results
summary.gsNB	Summary for gsNB objects
summary.sample_size_nbinom_result	Summary for sample_size_nbinom_result objects
toInteger	Convert group sequential design to integer sample sizes
toInteger.gsDesign	Convert group sequential design to integer sample sizes
toInteger.gsNB	Convert group sequential design to integer sample sizes
unblinded_ssr	Unblinded sample size re-estimation for recurrent events