Package index • bbssr

Fixed-sample designs

Rejection region, exact power and sample size of a two-arm trial with a binary endpoint.

BinaryRR(): Rejection Region for Two-Arm Trials with Binary Endpoints
BinaryPower(): Power Calculation for Two-Arm Trials with Binary Endpoints
BinarySampleSize(): Sample Size Calculation for Two-Arm Trials with Binary Endpoints

Blinded sample size re-estimation

Operating characteristics of a re-estimation design, comparison of several designs, and the re-estimation from the data of a trial that is under way.

BinaryPowerBSSR(): Power of a Blinded Sample Size Re-estimation Design for Binary Endpoints
BinaryGridBSSR(): Power and Sample Size of Several Blinded Sample Size Re-estimation Designs
BinaryBSSR(): Sample Size Re-estimation from Observed Blinded Interim Data

Type I error rate

Type I error rate of a re-estimation design, the adjusted significance level that controls it, and its decomposition by the interim outcome.

BinaryTypeIErrorBSSR(): Type I Error Rate of a Blinded Sample Size Re-estimation Design
BinaryAlphaAdjBSSR(): Adjusted Significance Level of a Blinded Sample Size Re-estimation Design
BinaryCondRejectBSSR(): Conditional Rejection Probabilities of a Blinded Sample Size Re-estimation Design

Paired binary data

Fixed-design and re-estimation calculations for a matched-pairs design, such as a cross-over trial.

PairedRR(): Rejection Region for Paired Binary Data
PairedPower(): Power for Paired Binary Data
PairedSampleSize(): Sample Size for Paired Binary Data
PairedPowerBSSR(): Power of Blinded Sample Size Re-Estimation for Paired Binary Data
PairedBSSR(): Blinded Sample Size Re-Estimation from Paired Interim Data
PairedTypeIErrorBSSR(): Type I Error Rate of Blinded Sample Size Re-Estimation for Paired Binary Data
PairedAlphaAdjBSSR(): Adjusted Significance Level of Blinded Sample Size Re-Estimation for Paired Binary Data

Stratified designs

Fixed-design and re-estimation calculations for a trial stratified into two or more strata.

StratRR(): Rejection Region of a Stratified Test
StratPower(): Exact Power of a Stratified Test
StratSampleSize(): Sample Size of a Stratified Test
StratPowerBSSR(): Power of Blinded Sample Size Re-Estimation for a Stratified Design
StratGridBSSR(): Power and Sample Size of Several Stratified Re-estimation Designs
StratBSSR(): Blinded Sample Size Re-Estimation for a Stratified Trial
StratTypeIErrorBSSR(): Type I Error Rate of Blinded Sample Size Re-Estimation for a Stratified Design
StratAlphaAdjBSSR(): Adjusted Significance Level of Blinded Sample Size Re-Estimation for a Stratified Design
StratCondRejectBSSR(): Conditional Rejection Probabilities of Blinded Sample Size Re-Estimation for a Stratified Design

Printing, summaries and plots

print(<bbssr_alphaadj>): Print Method for bbssr_alphaadj Objects
print(<bbssr_bssr>): Print a Sample Size Re-estimation from Interim Data
print(<bbssr_crp>): Print Method for bbssr_crp Objects
print(<bbssr_pbssr>): Print Method for bbssr_pbssr Objects
print(<bbssr_power>): Print Exact Power Results
print(<bbssr_powerbssr>): Print the Operating Characteristics of a BSSR Design
print(<bbssr_ppower>): Print Method for bbssr_ppower Objects
print(<bbssr_ppowerbssr>): Print Method for bbssr_ppowerbssr Objects
print(<bbssr_prr>): Print Method for bbssr_prr Objects
print(<bbssr_psamplesize>): Print Method for bbssr_psamplesize Objects
print(<bbssr_ptie>): Print Method for bbssr_ptie Objects
print(<bbssr_rr>): Print a Rejection Region
print(<bbssr_samplesize>): Print a Sample Size Calculation
print(<bbssr_sbssr>): Print Method for bbssr_sbssr Objects
print(<bbssr_scrp>): Print Method for bbssr_scrp Objects
print(<bbssr_spower>): Print Method for bbssr_spower Objects
print(<bbssr_spowerbssr>): Print Method for bbssr_spowerbssr Objects
print(<bbssr_srr>): Print Method for bbssr_srr Objects
print(<bbssr_ssamplesize>): Print Method for bbssr_ssamplesize Objects
print(<bbssr_stie>): Print Method for bbssr_stie Objects
print(<bbssr_tie>): Print Method for bbssr_tie Objects
summary(<bbssr_grid>): Summary Method for bbssr_grid Objects
summary(<bbssr_powerbssr>): Summary Method for bbssr_powerbssr Objects
summary(<bbssr_spowerbssr>): Summary Method for bbssr_spowerbssr Objects
plot(<bbssr_crp>): Plot Method for bbssr_crp Objects
plot(<bbssr_grid>): Plot Method for bbssr_grid Objects
plot(<bbssr_power>): Plot Exact Power against the Response Probability of Group 1
plot(<bbssr_powerbssr>): Plot the Power of a BSSR Design against the Fixed-Sample Design
plot(<bbssr_prr>): Plot a Rejection Region for Paired Binary Data
plot(<bbssr_ptie>): Plot Method for bbssr_ptie Objects
plot(<bbssr_rr>): Plot a Rejection Region
plot(<bbssr_samplesize>): Plot the Exact Power Curve around a Sample Size Solution
plot(<bbssr_sgrid>): Plot Method for bbssr_sgrid Objects
plot(<bbssr_spowerbssr>): Plot the Power of a Stratified BSSR Design against the Fixed Design
plot(<bbssr_stie>): Plot Method for bbssr_stie Objects
plot(<bbssr_tie>): Plot Method for bbssr_tie Objects

Package

bbssr bbssr-package: bbssr: Blinded Sample Size Re-Estimation for Binary Endpoints