Table of Contents
Documentation
Data Input and Output
Complete List of Command Options
Guide to Command Usage
Common options
Model specific options
Genetic Sequences
Disease Associations
Effects of variants
Phenotype simulations
Power of Association Tests
Rare Variants Association Methods (RVAM)
Evaluating Novel Statistical Tests
Documentation
Data Input and Output
SEQPower
input
data
SEQPower simulation of
association data
SEQPower power analysis
results
Graphic representation
of power calculation results
Complete List of Command Options
Argument list
Guide to Command Usage
Common options
Genotype simulation options
Phenotype simulation options
Analysis options
Association tests options
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Model specific options
LOGIT
model
PAR
model
LNR
model
ELNR
model
BLNR
model
Genetic Sequences
Population genetics model based simulation
spower simulate
command for forward time simulation of DNA sequences
Data based simulation
Direct sampling from real world data-set
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Disease Associations
Effects of variants
Fixed effect vs. variable effects
Protective, deleterious and neutral variants
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Phenotype simulations
Linear mean-shift model
Extreme quantitative trait model
Logit model of odds ratios
Population attributable risk model
Linear model with qualitative outcome
Phenotype simulation for sequences drawn from haplotype pools
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Power of Association Tests
Analytic power and sample size calculation for case control design
Analytic power and sample size calculation for quantitative traits design
Empirical power and sample size calculations
Rare Variants Association Methods (RVAM)
RVAM
catalog
Power comparison for RVAM
Evaluating Novel Statistical Tests
Writing
R extensions