Lixoft Monolix Suite 2019 R1 x64 MacOS-非常實用的關於藥物方面的建模和模擬軟件 Monolix2019mac是用於藥物學的非線性混合效應建模(NLME)的最先進和最簡單的解決方案。它基於SAEM算法,即使對於複雜的PK/PD模型也能提供強大的全局收斂。Monolix用於臨床前和臨床人群PK/PD建模和系統藥理學。Monolix擁有龐大的用戶社區。Monolix被學術界,製藥業以及美國監管機構廣泛使用。 Monolixisthemostadvancedandsimplesolutionfornon-linearmixedeffectsmodeling(NLME)forpharmacometrics.ItisbasedontheSAEMalgorithmandprovidesrobust,globalconvergenceevenforcomplexPK/PDmodels.MonolixisusedforpreclinicalandclinicalpopulationPK/PDmodelingandforSystemsPharmacology.Monolixenjoysalargeusercommunity.Monolixiswidelyusedbyacademia,thepharmaceuticalindustryaswellastheUSregulatoryagencies. AdvancedStatisticalMethodologies ReliableconvergenceforalltypeofdataisacenterpieceinpopulationPKPDmodeling,whichiswhyLixoftpioneeredincollaborationwithInriatheSAEMalgorithm. Automatedgenerationofdiagnostictests MonolixautomaticallygeneratesafullsetofdiagnosticplotsevenforcomplexPK/PDmodels.Forexample,youcaninstantaneouslycreatetheVisualPredictiveCheck,splitbyanypatientsubgroupyouwouldwanttoinvestigate. Increasedproductivityandquality EfficientC++solverpackage,standardizedmodellanguagewithMlxtran,PK/PDmodellibraryandintegratedsoftwareallcontributetobetterproductivityandquality. VeryeasytousewithitsGUI Oursolutionsaredesignedforeaseofuse.Monolixcanbeusedviaagraphicalinterfaceorcommandlinesforpowerfulscripting.Thismeanslessprogrammingforyouandmorefocusonexploringmodelsandpharmacologytodeliverintimetoyourcustomers. Keyfeatures: Supportofallrelevantdatatypesandstatisticalfeatures MonolixcoversawiderangeofdatatypesandstatisticalfeaturesforpopulationPK/PDmodeling.Forallcasestherightstatisticalmethodologyhasbeendevelopedandpublishedforreference. Monolixcovers: Continuous,categorical,countandrepeatedtimetoeventdata. Mixturemodelsandmixturesofmodels. Inter-occasionvariabilitywithanynumberoflevels. ProperhandlingofBLQdata. Normal,lognormal,logit,probitanduserdefineddistributionsfortheindividualparameters.