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Table 3 List of IDeAl added aspects, explanation in brackets

From: Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials

adaptive combination
adaptive graph-based multiple
adaptive LASSO
adaptive strategy
adjusted significance level
assessment of randomisation procedures
Bayesian decision theory
biased corrected test (likelihood ratio test)
biasing policy
BIC criterion
blocked ANOVA
bootstrap (constrained parametric bootstrap procedure)
causal inference
CorrMixed
decision theoretic aspect (Bayesian decision theoretic)
dOFV (delta objective function values)
dose-response
EffectTreat
ERDO (evaluation of randomisation procedures for design optimisation)
similarity of dose response
FDR (false discovery rate)
first-in-human
Fisher information matrix
SLOPE (group SLOPE, geneSLOPE)
k-means
linked assessment criterion
many-to-one
maximum likelihood estimation
MC-AGQ
MC-HMC
MCPMod (closed MCPMod)
confidence bands for difference of curves
meta-analysis
meta-analytic paradigma
mixed effects model
MIXFIM
model averaging
model selection
monte-carlo
stochastic simulation
non-parametric
open-label
optimal-design (compound D-optimality criterion)
parametric power estimation
permutation test
PESEL (penalized semi-integrated likelihood method)
pharmacometrics
prior information
randomisation based inference
randomizeR
real world data
Robustness
SIR (sampling importance resampling)
scepticism factor (scepticism)
selection bias
sequential analysis
Simulation
SPF (surrogate predictive function)
stratification
personalised medicine
SURROGATE
TestingSimilarity
threshold-crossing
time trend bias
two-stage adaptive design
type-I-error probability
intersection-union principle