<>stream year:2019 33 0 obj PROC FREQ is the most commonly used procedure for the analysis of categorical data. <>/MediaBox[0 0 2949.84 1658.88]/Parent 459 0 R/Resources<>/Font<>/Pattern<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]/XObject<>>>/Rotate 0/StructParents 2/Tabs/S/Type/Page>> 6 0 obj endobj 45 0 obj Here, we present a simple but accurate way to get a confidence interval of a proportion. 43 0 obj 0000003038 00000 n endobj ���3�j�������M��K�״+��w�.>]��A������\�OY\�3!�p����$th< ��N��G�)�q�XGaLZ���P�H�h��w�@�p�O�橘�L����W��Rh��:���������( ���y����L�����V�fUК!6�8O��,�Vly\eP��o)����@Q�=���ZhՇ 2019-04-24T14:00:08.040-04:00 Dilip Patel, Rang Technologies
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Kamleshkumar Patel, Rang Technologies
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Are you computing Confidence Interval for binomial proportion using PROC FREQ? endobj 32 0 obj <> Under certain scenarios, PROC FREQ calculates the confidence interval for a proportion of another group. 38 0 obj Under certain scenarios, PROC FREQ calculates the confidence interval for a proportion of another group. SAS Proc Freq offers 8 ( including 4 of total 11 in Prof. Newcombe ’s paper) methods to compute confidence intervals for difference between independent binomial proportions: Wald #1; Wald (Corrected) #2; Exact Jigar Patel, Rang Technologies 40 0 obj Running proc freq with the list option as shown below, however, produces a table without a line for gender=2 and eth=2, because the count for this combination is zero. This macro can help programmers to compact the code and avoid miscalculation of the confidence interval.

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This proportion is a result of a binary variable crossed with another binary variable. I want to know the 95% CI for percentage of mothers that breastfeed exclusively (yes or no, binary) for women of diferent nationalities (also binary).