; MONOLIX project generated with IQRtools ; ==PROJECT HEADER START=================================================== ; COMMENT = '1 cpt model with 0th/1st order absorption and lag time - MONOLIX version' ; TOOL = 'MONOLIX' ; TOOLVERSION = 'MLX2023R1' ; DATA = '../../Ex1/data.csv' ; DOSINGTYPES = 'ABSORPTION0' ; TK0NAMES = 'Tk0' ; COVNAMES = 'WT0' ; CATNAMES = 'SEX' ; CATCATEGORIES = '[1 2]' ; REGRESSIONNAMES = '' ; OUTPUTS = 'Cc' ; ERRORMODELS = 'abs' ; PARAMNAMES = 'ka,CL,Vc,Tlag1,Tk0' ; PARAMTRANS = 'exp(phi),exp(phi),exp(phi),exp(phi),exp(phi)' ; PARAMINVTRANS = 'log(psi),log(psi),log(psi),log(psi),log(psi)' ; COVARIATENAMES = 'WT0,SEX' ; COVARIATESUSED = '' ; BETACOVNAMES = '' ; BETACOVTRANS = '' ; BETACATNAMES = '' ; BETACATREFERENCE = '' ; NROBSERVATIONS = '120' ; ==PROJECT HEADER END===================================================== ; ============================================= ; ============================================= [FILEINFO] file = '../../Ex1/data.csv' delimiter = comma header = {IXGDF, ID, USUBJID, TIME, TIMEPOS, TAD, TIMEUNIT, YTYPE, NAME, DV, UNIT, CENS, MDV, EVID, AMT, ADM, RATE, TINF, WT0, SEX} [CONTENT] ID = {use=identifier} TIME = {use=time} YTYPE = {use=observationtype} DV = {use=observation, name={y}, ytype={1}, type={continuous}} CENS = {use=censored} MDV = {use=missingdependentvariable} EVID = {use=eventidentifier} AMT = {use=amount} ADM = {use=administration} TINF = {use=infusiontime} WT0 = {use=covariate, type=continuous} SEX = {use=covariate, type=categorical} ; ============================================= ; ============================================= [COVARIATE] input = {WT0,SEX} SEX = {type=categorical, categories={1,2}} EQUATION: tWT0 = log(WT0/70.5) DEFINITION: tSEX = { transform = SEX, categories = { 1 = 1, 2 = 2 }, reference = 1 } [INDIVIDUAL] input = {ka_pop, CL_pop, Vc_pop, Tlag1_pop, Tk0_pop, omega_ka, omega_CL, omega_Vc, omega_Tlag1, omega_Tk0} DEFINITION: ka = {distribution=logNormal, typical=ka_pop, sd=omega_ka} CL = {distribution=logNormal, typical=CL_pop, sd=omega_CL} Vc = {distribution=logNormal, typical=Vc_pop, sd=omega_Vc} Tlag1 = {distribution=logNormal, typical=Tlag1_pop, sd=omega_Tlag1} Tk0 = {distribution=logNormal, typical=Tk0_pop, sd=omega_Tk0} [LONGITUDINAL] input = {a} file = './project_model.txt' DEFINITION: y = {distribution=normal, prediction=Cc ,errorModel=constant(a)} ; ============================================= ; ============================================= data = {y} model = {y} ; ============================================= ; ============================================= ka_pop = {value=2, method=MLE} CL_pop = {value=40, method=MLE} Vc_pop = {value=2, method=MLE} Tlag1_pop = {value=0.5, method=MLE} Tk0_pop = {value=0.5, method=MLE} omega_ka = {value=0.5, method=MLE} omega_CL = {value=0.5, method=MLE} omega_Vc = {value=0.5, method=MLE} omega_Tlag1 = {value=0.5, method=MLE} omega_Tk0 = {value=0.5, method=MLE} a = {value=1, method=MLE} ; ============================================= ; ============================================= [TASKS] populationParameters() individualParameters(method = conditionalMode) fim(method = Linearization) logLikelihood(method = Linearization) plotResult() [SETTINGS] GLOBAL: seed = 123456 exportpath = 'RESULTSORIG' nbchains = 5 autochains = no POPULATION: exploratoryautostop = no smoothingautostop = no smoothingiterations = 20 exploratoryiterations = 50 variability = FirstStage