https://communities.sas.com/t5/Mathematical-Optimization/Repeated-Measures-and-dead-organisms/m-p/6358#M116 Hello,<BR /> I am comparing the difference in shell area (mm^2) between two species of clams under ambient environmental conditions over a one year period using monthly measurement intervals. Unfortunately, part-way into the experiment the clams of both species started experiencing heavy mortality (i.e. “Species 1” – 38% mortality at month 4, and 94% mortality at month 8; “Species 2” – 7% mortality at month 4, and 50% at month 8). <BR /> As a consequence, I have many missing values in my data set due to this mortality. <BR /> I know that SAS usually drops subjects with missing variables in PROC MIXED and GLM. <BR /> Does anyone know a way to do a Repeated Measures analysis on growth measurements without loosing the data from the dead organisms? <BR /> Thanks. Mon, 14 Jan 2008 21:16:49 GMT deleted_user 2008-01-14T21:16:49Z https://communities.sas.com/t5/Mathematical-Optimization/Repeated-Measures-and-dead-organisms/m-p/6358#M116 Hello,<BR /> I am comparing the difference in shell area (mm^2) between two species of clams under ambient environmental conditions over a one year period using monthly measurement intervals. Unfortunately, part-way into the experiment the clams of both species started experiencing heavy mortality (i.e. “Species 1” – 38% mortality at month 4, and 94% mortality at month 8; “Species 2” – 7% mortality at month 4, and 50% at month 8). <BR /> As a consequence, I have many missing values in my data set due to this mortality. <BR /> I know that SAS usually drops subjects with missing variables in PROC MIXED and GLM. <BR /> Does anyone know a way to do a Repeated Measures analysis on growth measurements without loosing the data from the dead organisms? <BR /> Thanks. Mon, 14 Jan 2008 21:16:49 GMT https://communities.sas.com/t5/Mathematical-Optimization/Repeated-Measures-and-dead-organisms/m-p/6358#M116 deleted_user 2008-01-14T21:16:49Z