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UniversitätsKlinikum Heidelberg Heidelberger Kolloquium Medizinische Biometrie, Informatik und Epidemiologie Sehr geehrte Damen und Herren, hiermit laden wir Sie herzlich ein zu dem Vortrag: Bivariate Dose-Response for Quantitative Endpoints von Prof. Dr. Reinhard Meister Beuth Hochschule für Technik, Berlin am Montag, 23.11.2015, 16.15 Uhr im DKFZ, ATV-Raum, Im Neuenheimer Feld 242, 69120 Heidelberg __________________________________________________________________________________ We present a new approach for assessing dose-dependent effects of substances when two endpoints are measured simultaneously. Motivation comes from drug development, where efficacy as well as toxicity has to be considered. We show limitations of the classical method where relative efficiencies of beneficial and adverse dose related effects are combined for characterizing the therapeutic window. The log-transformation of endpoints and doses turns out to be convenient for this approach, an observation made already by Fisher 1947, when estimating the ratio of heart- and body weight of cats. We use simple descriptive dose-response model, estimating second degree polynomial fit of log(dose) to observed log(endpoint). This approach can be improved, using ideas from the famous paper on assessing agreement between two methods of clinical measurement of Bland and Altman 1986. We present a way to compare benefit-risk ratios between treatments without the need for fitting any dose-response model. The approach is illustrated using data from a screening of p.o. applications of estrogen in rats (Elger W, et al 2015 under review). Literature Bland JM, Altman DG. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, i, 307-310. Elger W, et al (2015) Estradiol prodrugs (EP) for efficient oral estrogen treatment and abolished effects on estrogen modulated liver functions. (under review) R. A. Fisher (1947) The analysis of covariance method for the relation between a part and the whole, Biometrics 3, 65–68. __________________________________________________________________________________ Alle Interessenten sind herzlich eingeladen! Gezeichnet: Chang-Claude, Dickhaus, Kieser, Knaup, Kopp-Schneider, Wellek Organisation: Birgit Schleweis Institut für Medizinische Biometrie und Informatik, Im Neuenheimer Feld 305, 69120 Heidelberg Tel. 06221/56-4142. Möchten Sie die wöchentliche Ankündigung der Vorträge per E-Mail erhalten, senden Sie bitte eine Nachricht an: [email protected]

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Page 1: Heidelberger Kolloquium Medizinische Biometrie, …¤tsKlinikum Heidelberg Heidelberger Kolloquium Medizinische Biometrie, Informatik und Epidemiologie Sehr geehrte Damen und Herren,

 

UniversitätsKlinikum Heidelberg

Heidelberger Kolloquium Medizinische Biometrie, Informatik und Epidemiologie

Sehr geehrte Damen und Herren, hiermit laden wir Sie herzlich ein zu dem Vortrag:

“Bivariate Dose-Response for Quantitative Endpoints “

von

Prof. Dr. Reinhard Meister Beuth Hochschule für Technik, Berlin

am Montag, 23.11.2015, 16.15 Uhr im DKFZ, ATV-Raum, Im Neuenheimer Feld 242, 69120 Heidelberg __________________________________________________________________________________ We present a new approach for assessing dose-dependent effects of substances when two endpoints are measured simultaneously. Motivation comes from drug development, where efficacy as well as toxicity has to be considered. We show limitations of the classical method where relative efficiencies of beneficial and adverse dose related effects are combined for characterizing the therapeutic window. The log-transformation of endpoints and doses turns out to be convenient for this approach, an observation made already by Fisher 1947, when estimating the ratio of heart- and body weight of cats. We use simple descriptive dose-response model, estimating second degree polynomial fit of log(dose) to observed log(endpoint). This approach can be improved, using ideas from the famous paper on assessing agreement between two methods of clinical measurement of Bland and Altman 1986. We present a way to compare benefit-risk ratios between treatments without the need for fitting any dose-response model. The approach is illustrated using data from a screening of p.o. applications of estrogen in rats (Elger W, et al 2015 under review). Literature Bland JM, Altman DG. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, i, 307-310. Elger W, et al (2015) Estradiol prodrugs (EP) for efficient oral estrogen treatment and abolished effects on estrogen modulated liver functions. (under review) R. A. Fisher (1947) The analysis of covariance method for the relation between a part and the whole, Biometrics 3, 65–68. __________________________________________________________________________________

Alle Interessenten sind herzlich eingeladen!

Gezeichnet: Chang-Claude, Dickhaus, Kieser, Knaup, Kopp-Schneider, Wellek

Organisation: Birgit Schleweis Institut für Medizinische Biometrie und Informatik, Im Neuenheimer Feld 305, 69120 Heidelberg Tel. 06221/56-4142. Möchten Sie die wöchentliche Ankündigung der Vorträge per E-Mail erhalten, senden Sie bitte eine Nachricht an: [email protected]