With the syntax;
META BINARY DATA TREATMENT=SUCCESS(posCasesMetBC) FAILURE(EchecMnonBC) CONTROL=SUCCESS(PosCasesRef)
FAILURE(FailuresRéfBC) ID=studies ESTYPE=LOGOR
/CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=5
CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE
/INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE
/FORESTPLOT DISPLAY=ES SE CI WEIGHT POSITION=RIGHT ANNOTATIONS=HOMOGENEITY HETEROGENEITY TEST
REFLINES=OVERALL NULL EFORM=TRUE.
I get
Warnings
This command should specify a valid subcommand at the beginning.
Execution of this command stops.
Can you tell me, do you see the Odds Ratio in the second analysis below? GET FILE=<attached>. META BINARY /DATA TREATMENT=SUCCESS(npost)...
Re: Meta-analyses; Binary data | | | Can you tell me, do you see the Odds Ratio in the second analysis below? GET FILE=<attached>. META BINARY /DATA TREATMENT=SUCCESS(npost) FAILURE(nnegt) CONTROL=SUCCESS(nposc) FAILURE(nnegc) STUDY=@_meta_studylabel ESTYPE=LOGOR /CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=5 CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE /INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE /FORESTPLOT DISPLAY=ES SE CI WEIGHT POSITION=RIGHT ANNOTATIONS=HOMOGENEITY HETEROGENEITY TEST REFLINES=OVERALL NULL EFORM=FALSE. META BINARY /DATA TREATMENT=SUCCESS(npost) FAILURE(nnegt) CONTROL=SUCCESS(nposc) FAILURE(nnegc) STUDY=@_meta_studylabel ESTYPE=LOGOR /CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=5 CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE /INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE /FORESTPLOT DISPLAY=ES SE CI WEIGHT POSITION=RIGHT ANNOTATIONS=HOMOGENEITY HETEROGENEITY TEST REFLINES=OVERALL NULL EFORM=TRUE.
------------------------------ Rick Marcantonio Quality Assurance IBM ------------------------------ | | Reply to Group Online View Thread Recommend Forward |
Original Message: Sent: Tue March 28, 2023 09:44 AM | |
| |
Original Message:
Sent: 3/28/2023 10:24:00 AM
From: Rick Marcantonio
Subject: RE: Meta-analyses; Binary data
Can you tell me, do you see the Odds Ratio in the second analysis below?
GET FILE=<attached>.
META BINARY
/DATA
TREATMENT=SUCCESS(npost) FAILURE(nnegt) CONTROL=SUCCESS(nposc) FAILURE(nnegc) STUDY=@_meta_studylabel
ESTYPE=LOGOR
/CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=5
CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE
/INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE
/FORESTPLOT DISPLAY=ES SE CI WEIGHT POSITION=RIGHT ANNOTATIONS=HOMOGENEITY HETEROGENEITY TEST
REFLINES=OVERALL NULL EFORM=FALSE.
META BINARY
/DATA
TREATMENT=SUCCESS(npost) FAILURE(nnegt) CONTROL=SUCCESS(nposc) FAILURE(nnegc) STUDY=@_meta_studylabel
ESTYPE=LOGOR
/CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=5
CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE
/INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE
/FORESTPLOT DISPLAY=ES SE CI WEIGHT POSITION=RIGHT ANNOTATIONS=HOMOGENEITY HETEROGENEITY TEST
REFLINES=OVERALL NULL EFORM=TRUE.
------------------------------
Rick Marcantonio
Quality Assurance
IBM
------------------------------
Original Message:
Sent: Tue March 28, 2023 09:44 AM
From: viviane de maertelaer
Subject: Meta-analyses; Binary data
Many thanks.��
My commands hereunder.
I indeed selected ESTYPE=LOGOR.
I don't see the possibility to chose an ESFORM; Juste an EFORM ..
So I just obtain now the forest plots with the logg odds ratios in abscissa, but I want the odds ratios... due to the reviewer constraints...
Thanks for your contribution...
Prof. viviane de maertelaer
Emeritus and Invited Professor of Biostatistics, ULB, Fac.of Medicine, IRIBHM
EMA (European Medicine Agency) Expert & Agence Fédérale Médicaments Produits de Santé ( AFMPS) Consultant
VM-AN Consulting, snc
Rue du Coq 14, 1380 Ohain, Belgium
Viviane.De.Maertelaer@ulb.be
Tél : +32 (0)476 420 556
TVA : 0503 782 762
META BINARY /DATA TREATMENT=SUCCESS(posCasesMetBC) FAILURE(EchecMnonBC) CONTROL=SUCCESS(PosCasesRef)
FAILURE(FailuresRéfBC) ID=studies ESTYPE=LOGOR
/CRITERIA CILEVEL=95 SCOPE=AVAILABLE CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=5
CONVERGENCE=0.000001 ZEROCOUNTS=ONLY ADD=0.5 DROP=TRUE
/INFERENCE MODEL=RANDOM ESTIMATE=REML ADJUSTSE=NONE
/FORESTPLOT DISPLAY=ES SE CI WEIGHT POSITION=RIGHT ANNOTATIONS=HOMOGENEITY HETEROGENEITY TEST
REFLINES=OVERALL NULL EFORM=TRUE.
Original Message:
Sent: 3/28/2023 8:59:00 AM
From: Rick Marcantonio
Subject: RE: Meta-analyses; Binary data
Hi. See the help for META BINARY, for subcommand /FORESTPLOT:
"ESFORM The optional keyword controls the plot column and the display of ES and CI when specified by DISPLAY. The process is available when /ESTYPE = LOGOR
, LOGPETO
, or LOGRR
, and is otherwise ignored. FALSE is the default setting, which plots the log odds ratio, Peto's log odds ratio, or log risk ratio, and tabulates the log-transformed statistics. TRUE plots the odds ratio, Peto's odds ratio, or risk ratio, and tabulates the exponential-form statistics."
------------------------------
Rick Marcantonio
Quality Assurance
IBM
Original Message:
Sent: Sat March 25, 2023 01:06 PM
From: viviane de maertelaer
Subject: Meta-analyses; Binary data
Dear all,
In the frame of the meta-analyses for binary data menu, SPSS allows data to be handled analysing these possibilities:
(PS: Odds ratio are translated as cotes in French..; Rapport = ratio; ). Sorry.
This implies that I cannot obtain Forest plots graphs with absissa as Odds ratio .
I can obtain them with absissa expressed as LOG of different ratios or as risks differences. But not as Odds ratios.
My problem is that the reviewer of the article I submitted my article to, doesn't want LOG Odds ratio but odds ratios.
Could someone help me in this issue?
THANKS in advance
Prof. viviane de maertelaer
Emeritus and Invited Professor of Biostatistics, ULB, Fac.of Medicine, IRIBHM
EMA (European Medicine Agency) Expert & Agence Fédérale Médicaments Produits de Santé ( AFMPS) Consultant
VM-AN Consulting, snc
Rue du Coq 14, 1380 Ohain, Belgium
Viviane.De.Maertelaer@ulb.be
Tél : +32 (0)476 420 556
TVA : 0503 782 762