Using R For Flexible Modelling Of Pre-Clinical Combination Studies

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Fitting in R fit
Flexibly Building Formula Varying number of combination parameters to be fit: as.formula(paste(“resp ~ tau.model(parameters, paste("logtau" , 1:ntaus , sep="" , collapse=","), “gp= c(",paste(groupindex,collapse=",") , “))” )) • Build as a text string, then convert to a formula • Varying numbers of tau parameters • Convert group index vector into a text string in the right format AstraZeneca Discovery Statistics 17 Chris Harbron, Using R For Flexible Modelling Of Pre-Clinical Combination Studies, USE-R 2009
Page 1 and 2: Using R For Flexible Modelling Of P
Page 3 and 4: Why Drug Combinations? • Making b
Page 5 and 6: Combination Studies [B] Benefit? :
Page 7 and 8: Interaction Index - Berenbaum Combi
Page 9 and 10: Interaction Index - Berenbaum Combi
Page 11 and 12: Unified Tau ⎧ d ⎪ D ⎪ 1 = ⎨
Page 13 and 14: EDA Suggests Synergy At Higher Dose
Page 15: Estimates Of Synergy With 95% CIs O
Page 19 and 20: mynls() : A less temperamental nls(
Page 21 and 22: mynls() : A less temperamental nls(
Page 23: Summary • Early identification of

Using R For Flexible Modelling Of Pre-Clinical Combination Studies

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