Dose-Response MBNMA Models

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Documentation for package ‘MBNMAdose’ version 0.4.3

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add_index Add arm indices and agent identifiers to a dataset
alog_pcfb Studies of alogliptin for lowering blood glucose concentration in patients with type II diabetes
calc.edx Calculates values for EDx from an Emax model, the dose at which x% of the maximal response (Emax) is reached
changepd Update model fit statistics depending on calculation for pD
check.network Check if all nodes in the network are connected (identical to function in 'MBNMAtime')
cumrank Plot cumulative ranking curves from MBNMA models
default.priors Sets default priors for JAGS model code
demax Emax dose-response function
devdev Dev-dev plot for comparing deviance contributions from two models
devplot Plot deviance contributions from an MBNMA model
dexp Exponential dose-response function
dfpoly Fractional polynomial dose-response function
ditp Integrated Two-Component Prediction (ITP) function
dloglin Log-linear (exponential) dose-response function
dmulti Agent-specific dose-response function
dnonparam Non-parameteric dose-response functions
dpoly Polynomial dose-response function
DR.comparisons Adds placebo comparisons for dose-response relationship
drop.comp Drop treatments from multi-arm (>2) studies for node-splitting
drop.disconnected Drop studies that are not connected to the network reference treatment
dspline Spline dose-response functions
duser User-defined dose-response function
fitplot Plot fitted values from MBNMA model
gen.parameters.to.save Automatically generate parameters to save for a dose-response MBNMA model
genspline Generates spline basis matrices for fitting to dose-response function
get.prior Get current priors from JAGS model code
get.relative Calculates league table of effects between treatments in MBNMA and/or NMA models
getjagsdata Prepares data for JAGS
gout Studies of treatments for Serum Uric Acid reduction in patients with gout
inconsistency.loops Identify comparisons in loops that fulfill criteria for node-splitting
mbnma.comparisons Identify unique comparisons within a network
mbnma.network Create an mbnma.network object
mbnma.nodesplit Node-splitting model for testing consistency at the treatment level using MBNMA
mbnma.run Run MBNMA dose-response models
mbnma.update Update MBNMA to monitor deviance nodes in the model
mbnma.validate.data Validates that a dataset fulfills requirements for MBNMA
mbnma.write Write MBNMA dose-response model JAGS code
nma.nodesplit Node-splitting model for testing consistency at the treatment-level
nma.run Run an NMA model
norm2lnorm Convert normal distribution parameters to corresponding log-normal distribution parameters
osteopain Studies of treatments for pain relief in patients with osteoarthritis
pDcalc Calculate plugin pD from a JAGS model with univariate likelihood for studies with repeated measurements
plot.mbnma Forest plot for results from dose-response MBNMA models
plot.mbnma.network Create an mbnma.network object
plot.mbnma.predict Plots predicted responses from a dose-response MBNMA model
plot.mbnma.rank Plot histograms of rankings from MBNMA models
plot.nma Run an NMA model
plot.nma.nodesplit Node-splitting model for testing consistency at the treatment-level
plot.nodesplit Node-splitting model for testing consistency at the treatment level using MBNMA
predict.mbnma Predict responses for different doses of agents in a given population based on MBNMA dose-response models
print.mbnma.network Print mbnma.network information to the console
print.mbnma.predict Print summary information from an mbnma.predict object
print.mbnma.rank Prints summary information about an mbnma.rank object
print.nma.nodesplit Prints summary results from an nma.nodesplit object
print.nodesplit Prints summary results from a nodesplit object
print.relative.array Print posterior medians (95% credible intervals) for table of relative effects/mean differences between treatments/classes
psoriasis100 Studies of biologics for treatment of moderate-to-severe psoriasis (100% improvement)
psoriasis75 Studies of biologics for treatment of moderate-to-severe psoriasis (>=75% improvement)
psoriasis90 Studies of biologics for treatment of moderate-to-severe psoriasis (>=90% improvement)
rank Set rank as a method
rank.mbnma Rank parameter estimates
rank.mbnma.predict Rank predicted doses of different agents
rank.relative.array Rank relative effects obtained between specific doses
recode.agent Assigns agent or class variables numeric identifiers
ref.synth Synthesise single arm dose = 0 / placebo studies to estimate E0
rescale.link Rescale data depending on the link function provided
ssi_closure Studies of wound closure methods to reduce Surgical Site Infections (SSI)
ssri Studies of Selective Serotonin Reuptake Inhibitors (SSRIs) for major depression
summary.mbnma Print summary of MBNMA results to the console
summary.mbnma.network Print summary mbnma.network information to the console
summary.mbnma.predict Produces a summary data frame from an mbnma.predict object
summary.mbnma.rank Generates summary data frames for an mbnma.rank object
summary.nma.nodesplit Generates a summary data frame for nma.nodesplit objects
summary.nodesplit Generates a summary data frame for nodesplit objects
triptans Studies of triptans for headache pain relief