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I tried to create a model generating generalized estimation equations (well) for proc genmod to examine the factors that can affect stationary repeat admission (PTNT_RE_ADMIT_IND2) in a number of designated facilities (NM), while monitoring is used for continuous and accurately measuring the severity of health problems (severity). Patients (ptno) have multiple sessions listed in the order of the visitindex variable. My model is below.
proc genmod data = descendant of new.patientencounters;
Model PTNT_RE_ADMIT_IND2 = Gravity NM / dist = bin type3 link = logit;
recurring topic = ptno / within = visitindex corr = ar (1) corrw;
When I run this very simple model, I always get the following generic error in the SAS log:
NOTE. The algorithm converges. Error
Error: while calculating the difference function.
ERROR: When calculating the covariance of the error parameter estimate.
ERROR: Error in the evaluation program.
I tried psuggest the following drugs: I tried to take subsets of my data, I tried NM bounce categories, I checked crosstabs to find sparse tables as well as null cells (not found) and I cannot fix this manual error. I did a Google search to investigate these errors and it doesn’t seem very common as I only found a few people who shared this bug, reported this bug, or asked for help. I actually found another question poster via this forum. Also, there was not a lot of information in the post that could help solve the problem. Anyone have any suggestions?
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List: sas-lSubject: Re: Error in the evaluation programFrom: "Tall, Robin R" Date: 03/08/2015 17:00:14Message ID: 13DAEB09712F4D4382D11CB8FED4D26F44327B9D () UNMCEX3! Ankreswald! organization[Download message or text in RAW format]Rock,Firstly, dates of visit are no longer geared towards defining properties such as nprovides a "Poisson" distribution of the counting data relative to your simulated encoding, since it nnot 0, and they end in 3. Also, visit = 2 and 3 are rare family members nOccurrence in relation to visit = 1, with the same probability Other (probably nNon-toxic property), so I would rather think more about the model visit nfor example 1 instead of (2 and / or maybe 3) binary answer with two sums.And also in the Poisson velocity model, the shear variable consists of the coercive ratio "1" nand assuming you enabled the counter (log_dur) as a variable in a product or service, it has nThe slope coefficient is close to 0 and is likely to be inclined to consider it mainly because the covariate tends to be nlike a big shift.Rob,UNMC----- Original message -----From: SAS Discussion (r) [mailto: [email protected]] On behalf of RocSent: Saturday, August 1, 2015 10:47 AMTo: [email protected] eduTopic: in the assessment programHi SAS-L,I have a set of case histories that I want to analyze. I have tried PROC GENMOD as PROC.GLIMMIX, but both errors were intentional mi. The following simulations: Disk Set and PROC nGENMOD codes. Does anyone have any suggestions for how to fix the problem?Variables in the knowledge base:ID: object identifier, each can contain up to 31 separate observations.Test: test, sentences are more or less normally distributedVisit: The number of all visits for a given period of time.dur: duration of the period during which 1 out of 3 visits can take place.Make an appointment; save cnt: i id_cnt b seed; Seed includes 73864; Array cnt [*] cnt1 - cnt7 (1 2 3 5 3 9 31); make my partner = from 1 to 50,000; id_cnt is equal to cnt [rantbl (seed, 0.1, 0.1, 0.1, 0.2, 0.3, 0.1, 0.1)]; use j = 1 toId _cnt; Id = I; test = rand ('ok', 30, 9); visit = rand ('table', 0.9, 0.05, 0.05); Major is ifn (test> 30, max (0.7, rand ('gamma', 1)), min (0.25, rand ('gamma', 1))); log_dur implies log (dur); Go out; End; End;Run away;proc-data = have; Genmod form identifier; Model visit = test / dist = fish link = log offset = log_dur; typical item = id / type = exchange;Run away;NOTE. The algorithm converged. ERROR: Calculation error in sort function. ERROR: An error occurred while calculating the covariance with the formation of m parameters. ERROR: in the error calculator.NOTE. SAS stopped this step due to errors.The idea behind this email may be privileged and confidential and only relates to nuse of the above recipient (s). Any unauthorized use or disclosure of this nInformation prohibited. If you expand this email received by mistake, please remove the nand contact the respective sender immediately.[earlier in the list] [next in the list] [earlier in the chain] [next in the chain]
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