975 0 obj <> endobj %PDF-1.5 %���� `�>�0�H^�EE��'I��r�4�F�HCEG�/Pb�N�.��;�W4�p ��ͧϴ~(^�>�� >c��%���` ��3 We will be using procedure syntax to create the graphs and, at times, endstream endobj 980 0 obj <>stream �Z�e�/��2�UB1M�m�.lz���h��Xn 2�pT��&�dX���tz���X� �� � �#� �8��n6�����r�7ϗy��Fi�^l5���ԻH�6�-����h����zXό��i,0SL�0�4�R1X,�m$�S����#J�9$!������ڢ���f ?���!�-�!_Уo�k���%I���PwS��G��G�����8b�-��G����@iy���O1~�a�ݸ�Wޢy�ZV�&�R`��ct��B>ly��MS�6 � 1&�卯��:�$�0S�ۀs��ƓhU,N �K��fg[^7H��-�bMۧ�2���Pk���h����hh6f�~���.�r�*�J��^��h���az=���#��xN��UN�#�TI�6���Ʃ��S�C/T､��}&�#��1H��j �v��k A;�v�P�%G�c���_�*��9����Kl�k7���7��� ���M��͙A���ڌ�Hu/�=��Ї��wH>�s��-NU�Ԝ*��5��kM��dց��[��SlO��X!�hq�6k8��[[�F�$���xI��Oe���:��Ŵ^�]��7DIw�v��ϓ��cW#�{饗��l�t�ֈ �j��i�mL�?&�ɴG���O��=�^mO��������/ G(�A endstream endobj 979 0 obj <>stream "1[�%)��I�`]��H��[!�M����\W-�|��p����b�J��2�I�G����y���_�~+�i���k���9�Q���}{�M1��hK���b�؞�]������O�����{9�=V}w8W_�ѕƖv�( 1j�V�P�8d���͠��2��J�.&kk!y-q�\��u�E���̂����qHu��H��뙢ȳيL-Yy�c`��Z In this paper, I have demonstrated the different types of graphs used in oncology trials and how these graphs can be generated by using SAS®. SGPLOT supports skins to alter the visual appearance of the graphs as shown on the right. h�bbd``b`��@�1H�~,�@D*H���]R⺃��@�I$�$��@���L��q .#5���d? 1010 0 obj <>stream These graphs are generated with help of SAS… $�: 0 992 0 obj <>/Filter/FlateDecode/ID[<903508DB375B5C45B7033D77BADB90A1><23C9BB7F536C4C46AE224F7555FC7670>]/Index[975 36]/Info 974 0 R/Length 85/Prev 293598/Root 976 0 R/Size 1011/Type/XRef/W[1 2 1]>>stream h�b```�Χ� ��eaภ���(�([�*��D�� g��9��$��\���@������M��i�sO��ه6�? For more information on graphs for Oncology research, see "Plotting Against Cancer: Creating Oncology Graphs using SAS" by Debpriya Sarkar. Plots are produced in either SGPLOT or SGPANEL, with the use of the TEMPLATE procedure and annotation module to make needed adjustments and enhancements. d��`�z��އ�@� �@�������� fw� ����$��> Pa`�����X ,�����v��1�gNV"�����{xUY�n(��U�2�44i.��@���d�!ˁg`.�"@� j,T+ H��U�o�0�_q��D�x(. simple bar graph can also be used to depict the change in lesion diameter over time. Click on the graph for a higher resolution image. SAS® in version 9.3 or later can generate the graphics outlined in this paper. endstream endobj startxref h��YmO�6�+�ڪ�N�&]!�r٭4�t��Iri�JS�A�~��iRJe�6-��7�?~�s1�̹� �b��A3�J��D�h�"�cJZ&8�L'4�*�H&��q3)��Y��ؒ�*���f��d5,q�f�i�(�1�u�G��t�͙��}����>}�~*�Y�/�O��lY���i�5���U�|2�߲�h�Z-�G03~v1��>X.���b�U�bF�t�%��*f��.��q ��r�ޯY]�����s�IϜq����c�x>�*�E���ؤ(��im����-����1�n>����B�uR�Yu�]�c� մ.-�W�"�.��Ѥ�e&�� � _���WUQF�5�$�����{m�������j����a|q������bJH�Z���1��o�c�K����L�vf����W����h��۳�"�����뽚��h�Yd���˻b�h�|i H�|UMo�0��W�(�jɒ� À6�� k7�� ;x��ds��i:l�~���!K{�-S���#ŜW��/�������������&����4�f�MN�*��$IM�:��@4��������|9(lj����W�E;U�uTԉu����v��V}���Hh*�Տ�cm���|�t��� ��8) ��k�f��3�n�-+���SoJ�}�Xk����\'SU�pi�A�}������]u�Z[`R_��m}�/��T��6U���*n��s&��k�ݮ,Ue�ա�ܭ5���xe�7!��Ȍ��ҍ�T���\ՀL���^�-.��1/p2�H�"U=a�)"����!Ι�*s��R�(^v����e*�� �#�#rN��8�ԉ'$���'�y����w�4�V�{"�1��Q��ȡ�z:l�#[#���xЎ�Z.��V��g��ab� [”�=vݘ��쓬0y 6��%��s�dN��3S������ٌ7�����|��y4m�#�!�|�l0�I? %%EOF 1 Paper SAS130-2014 Plotting Against Cancer: Creating Oncology Plots Using SAS® Debpriya Sarkar, SAS Institute Inc., Pune, India ABSTRACT Graphs in oncology studies are essential for getting more insight about the clinical data.